Discover MCP servers and open data for environmental monitoring, with access requirements and source evidence.
464 sources · For GIS analysts, hydrologists, environmental consultants, ecologists, planners, drainage engineers, flood consultants, geotechnical engineers. Enrichment describes potential applications; review source evidence and limitations.
Add this server to an HTTP-compatible MCP client, then call get_source to inspect the first source. The tool call is shown separately from the client configuration. Review upstream access details before requesting data.
data apiGovernment / regulator77.3/100Currency E
Ordnance Survey authoritative UK mapping APIs, UPRN addressing and topographic basemaps for GIS, civil engineering site plans and infrastructure coordination.
Live via TerraMCP ↗os_names
Your OS Data Hub project key required; OS Names only.
What's in it
- Data offered llm-inferred
- address to UPRN
- Coverage llm-inferred
- United Kingdom
- Access llm-inferred
- API key required (osdatahub.os.uk); OS licence / OGL for OpenData
Useful for
- Use cases llm-inferred
- Matching client site addresses to UPRNs for drainage asset or flood-risk records · Linking planning or ecology survey addresses to UPRNs to join property-level datasets · Validating address lists to UPRNs before batch geospatial analysis
- Audience llm-inferred
- GIS analysts · drainage engineers · flood consultants · planners
Limitations
- Constraints llm-inferred
- DOCS page does not document the address-to-UPRN endpoint or its parameters · Requires an API key from an OS Data Hub account · Licence terms differ between OS licence and OGL OpenData; confirm which applies
United Kingdompage reachable
data apiGovernment / regulator77.2/100Currency E
Hydrological station metadata and quality-labelled flow, level, groundwater and rainfall time series.
Live via TerraMCP ↗ea_hydro_series · ea_groundwater_stations
What's in it
- Data offered docs-verified
- river flow 15-min instantaneous (m3/s) · river flow daily mean/min/max (m3/s) · river level 15-min instantaneous (m) · river level daily min/max (m) · rainfall 15-min total (mm) · rainfall daily total (mm) · groundwater level dipped (mAOD) · groundwater level logged, sub-daily (mAOD) · water quality 15-min instantaneous: dissolved oxygen (% and mg/L), fDOM (RFU), blue-green algae (RFU), turbidity (NTU), chlorophyll (µg/L), conductivity (µS/cm), temperature (°C), ammonium (mg/L), nitrate (mg/L as N), pH
- Coverage llm-inferred
- England
- Resolution docs-verified
- typically 15 min (sub-daily) and daily
- Formats docs-verified
- JSON · CSV · GeoJSON · HTML · RDF/XML · Turtle
- Access llm-inferred
- No authentication (per catalogue); free; Open Government Licence 3.0
Useful for
- Use cases llm-inferred
- FRA baseline flows and levels from nearest gauge · Rainfall and river level context for flood event review · Groundwater level baseline for site investigation or geotechnical assessment · Water quality baseline (dissolved oxygen, turbidity, nitrate) for ecological or pollution assessment
- Audience llm-inferred
- flood consultants · hydrologists · drainage engineers · ecologists · geotechnical engineers · GIS analysts
Limitations
- Constraints docs-verified
- Hard limit of 2,000,000 rows per call that cannot be overridden; soft limit of 100,000 rows per call (overridable with _limit) · Hard limit is subject to review and may be reduced if the service is overloaded · Bulk downloads should use the batch API; otherwise keep to one non-batch request in flight at a time · Concurrency limits may be enforced per IP address, and excessive demand may lead to blocking · Logged groundwater sub-daily values may mix 15-min and hourly intervals · Station identifiers are not always unique; some stations need a composite key with a wiskiID · HTML views are intended for debugging and development, not for presentation to consumers
Englandpage reachable
data apiGovernment / regulator76.8/100Currency E
Defra and Environment Agency environmental open data catalogue: flood risk, river catchments, terrain surveys, water quality and Natural England habitats.
Live via TerraMCP ↗ea_flood_features · flood_zone_at_point
What's in it
- Data offered llm-inferred
- flood zones
- Coverage llm-inferred
- England
- Resolution registry
- various
- Access llm-inferred
- Free/open, no authentication required; licence OGL-3.0
Useful for
- Use cases llm-inferred
- FRA baseline flood zone screening for England sites · Flood zone constraint mapping in GIS for planning and drainage design · Combining flood zones with ecological constraint layers for site appraisal
- Audience llm-inferred
- flood consultants · drainage engineers · planners · GIS analysts · ecologists
Limitations
- Constraints llm-inferred
- No documentation was retrieved, so data content, formats, resolution and update cadence are unverified · Scope is England only, per the entry's regions metadata · Description is brief ('flood zones'); the specific dataset or API endpoints are not identified
Englandpage reachable
data apiGovernment / regulator76.5/100Currency E
Natural England authoritative environmental GIS datasets for SSSI protected sites, priority habitats, biodiversity and ecological constraints in planning and civil engineering.
Live via TerraMCP ↗ne_designated_sites
What's in it
- Data offered llm-inferred
- Sites of Special Scientific Interest (SSSI) datasets
- Coverage llm-inferred
- England
- Resolution registry
- vector
- Access llm-inferred
- Free/open, no authentication (auth: none); licence OGL-3.0
Useful for
- Use cases llm-inferred
- Screen a development site for SSSI proximity or overlap as part of an ecological constraints review · Add SSSI boundaries as a designated-sites layer in a BNG or habitat baseline GIS · Support planning and EIA screening by flagging nationally protected wildlife sites within a study area
- Audience llm-inferred
- ecologists · planners · GIS analysts · environmental consultants
Limitations
- Constraints llm-inferred
- No documentation was retrieved, so the datasets, coverage, formats and update cadence are unverified · Covers England only · Entry description is minimal ('SSSI'); the portal may host other datasets beyond SSSI · Not an MCP server or API tool; no tools are listed in the entry
Englandpage reachable
data apiGovernment / regulator73/100Currency E
Environment Agency bathing water environmental quality classifications and sample results for coastal and inland bathing water pollution assessment.
What's in it
- Data offered llm-inferred
- bathing water classification
- Coverage llm-inferred
- England
- Access llm-inferred
- Free/open, no authentication required; licence OGL-3.0
Useful for
- Use cases llm-inferred
- Screening bathing water classification as a constraint for coastal or river outfall and drainage consent assessments · Baseline water quality context for FRA or environmental impact assessment in English coastal areas · Planning constraint check for developments near designated bathing waters
- Audience llm-inferred
- environmental consultants · water quality specialists · drainage engineers · planners
Limitations
- Constraints llm-inferred
- No DOCS retrieved, so coverage, time span, resolution, update frequency and formats are unverified · Description is brief; the scope of classification fields is not confirmed · Not an MCP server; no tools listed in metadata
Englandrestricted
data apiGovernment / regulator72.3/100Currency E
Environment Agency water quality sampling results for river pollution, environmental assessment and waterbody condition analysis.
Live via TerraMCP ↗wq_sampling_points · wq_measurements
What's in it
- Data offered docs-verified
- sampling points · water quality observations
- Coverage llm-inferred
- England
- Resolution registry
- sampling points
- Access llm-inferred
- free/open, no authentication; licence OGL-3.0
Useful for
- Use cases llm-inferred
- River water quality baseline for FRA or WFD assessment using nearest sampling points · Mapping sampling point locations around a site for environmental baseline reporting · Water quality evidence for planning and permit applications within an area of interest
- Audience llm-inferred
- hydrologists · environmental consultants · ecologists · GIS analysts
Limitations
- Constraints llm-inferred
- Requires JavaScript; web map interface only · No machine-readable API, formats or export described in DOCS · Time span, resolution and update frequency not stated in DOCS
Englandpage reachable
data apiGovernment / regulator72.1/100Currency E
Scottish spatial datasets
What's in it
- Data offered docs-verified
- geographically referenced thematic information (shared via GeoNetwork catalogue)
- Coverage llm-inferred
- Scotland
- Access llm-inferred
- Free and open; no authentication required; licence OGL-3.0 (per catalogue metadata)
Useful for
- Use cases llm-inferred
- Locating Scottish spatial layers for site constraints mapping in planning or FRA baselines · Finding geographically referenced environmental datasets for Scottish baseline reports · Identifying existing Scottish GIS data sources before commissioning new survey work
- Audience llm-inferred
- GIS analysts · flood consultants · planners · ecologists · environmental consultants
Limitations
- Constraints docs-verified
- Catalogue search page shows a degraded-mode warning when JavaScript is disabled · Coverage limited to Scotland · Dataset-level formats, resolution and update frequency are not stated in the docs supplied
Scotlandpage reachable
data apiGovernment / regulator71.5/100Currency E
air quality monitoring
What's in it
- Data offered docs-verified
- automatic and non-automatic air quality monitoring data (over 1500 sites) · descriptive statistics: annual mean, max, min, daily and monthly means, percentiles · exceedance statistics against UK/EU objectives, limit/target values, critical loads and the 1-10 index · ammonia (ALPHA) data from the National Ammonia Monitoring Network · ambient ozone concentrations · PM2.5 targets (PERT and AMCT) progress data · DAQI regional data · UV radiation and UV index data · Particulate matter, PAH, metals and TOMPs data · modelled air quality data and background maps
- Coverage docs-verified
- United Kingdom
- Formats docs-verified
- WMS · Atom download · Sensor Observation Service (SOS) · pre-formatted raw automatic data files · web Data Selector output
- Access docs-verified
- Free and open; no authentication (auth: none); Open Government Licence (OGL) v3.0. Attribution to Defra and uk-air.defra.gov.uk is required, with a link to the OGL where possible.
Useful for
- Use cases llm-inferred
- Baseline NO2 and PM2.5 conditions from the nearest monitoring site for an EIA air quality chapter · Comparing site exceedance statistics against UK Air Quality Objectives for planning applications · Ozone and UV background data for site characterisation or ecological assessment reports
- Audience llm-inferred
- environmental consultants · air quality specialists · EIA practitioners · planners · GIS analysts
Limitations
- Constraints llm-inferred
- Ammonia ALPHA data for 2022 and 2023 is being reissued because of an uptake-rate change, so earlier figures will differ · Ozone data from 1 January 2025 uses an updated constant (about +1.24%), so pre- and post-2025 series are not directly comparable · Attribution is required under the OGL for reports, web pages and derived products · The page documents a web data selector and file downloads, not a programmatic API; endpoints, rate limits and update schedule are not stated · Site is maintained by Ricardo on behalf of Defra, so long-term service continuity is not guaranteed by the docs
United Kingdompage reachable
data apiGovernment / regulator70.6/100Currency E
conservation area
What's in it
- Data offered docs-verified
- planning and housing datasets (over 100) · conservation areas · listed buildings (with listed_building_grade) · brownfield land · planning applications (spec in development) · flood risk zones · Article 4 directions · green belt · scheduled monuments · SSSI · ancient woodland · heritage at risk · AONB · tree preservation zones · local planning authority boundaries
- Coverage docs-verified
- England
- Formats docs-verified
- JSON · GeoJSON · CSV · Parquet · WKT (geometry fields)
- Access llm-inferred
- No authentication (auth: none); licence OGL-3.0 per catalogue metadata
Useful for
- Use cases llm-inferred
- Planning constraint check for a site or property by UPRN or coordinate (conservation area, listed building, flood risk zone, Article 4) · Brownfield land and planning application screening within an LPA boundary for site appraisal · Heritage and environmental designation baseline for a property (listed buildings, SSSI, ancient woodland, scheduled monuments) · Portfolio planning-risk screening of multiple properties via bulk CSV/GeoJSON downloads
- Audience llm-inferred
- planning consultants · GIS analysts · flood risk consultants · ecologists · property developers
Limitations
- Constraints docs-verified
- Beta service; API may change · Planning applications spec in development; local planning authorities not required to share application data · No batch endpoint; one request per property · Absence of results does not mean no constraints; data coverage varies by area · Apply polite rate-limiting between requests
Englandpage reachable
data apiGovernment / regulator70.3/100Currency E
Environment Agency environmental permits and public registers for pollution control, regulated activities and civil engineering site due diligence.
What's in it
- Data offered docs-verified
- environmental permits and licences · exemptions · waste operations permits · end of life vehicles (ATF) treatment sites · installation permits · discharges to water and groundwater permits · radioactive substances permits · waste carriers, brokers and dealers · waste exemptions · water quality exemptions · scrap metal dealers · flood risk activity exemptions · compliance assessment reports (CARs) attached to permits where available · enforcement actions (separate register, not in the combined search)
- Coverage llm-inferred
- England
- Access llm-inferred
- No authentication required (auth: none); licence OGL-3.0
Useful for
- Use cases llm-inferred
- Permit and exemption check for a development site: search operators by address or name to identify environmental permits and exemptions · Drainage strategy consent review: look up discharges to water and groundwater permits for nearby operators · Flood risk assessment screening: check Flood Risk Activity Exemptions for works in, over, under or near a main river or sea defence · Contractor due diligence on civils sites: verify waste carriers, brokers and dealers before appointment
- Audience llm-inferred
- flood risk consultants · drainage engineers · hydrologists · environmental consultants · planners
Limitations
- Constraints llm-inferred
- Enforcement actions do not appear in the combined search and must be searched on the separate Enforcement Actions register · Search fields are business name, permit number, local authority and address; no radius or proximity search is described, so 'near site' in the entry description is not supported by the docs · CAR forms appear only where available on a permit page · No API, bulk download or machine-readable format is documented; the docs describe a web search interface only · Resolution, update frequency and time span are not stated in the docs
Englandpage reachable
data apiGovernment / regulator69.9/100Currency E
Defra MAGIC environmental GIS mapping of designated habitats, protected sites, landscape and biodiversity constraints for ecological and planning assessment.
What's in it
- Data offered docs-verified
- natural environment geographic datasets (400+ layers in the interactive map)
- Coverage docs-verified
- Great Britain
- Resolution registry
- vector
- Access llm-inferred
- Public web map with no authentication (ENTRY auth: none); licence OGL-3.0 (ENTRY metadata). DOCS do not state access terms.
Useful for
- Use cases llm-inferred
- Screening designated sites and environmental constraints around a site before a drainage or civils scheme · Initial nature-designation context for a BNG baseline or ecological desk study · Identifying environmental constraints for a planning or pre-application site appraisal
- Audience llm-inferred
- environmental consultants · ecologists · planners · drainage engineers · GIS analysts
Limitations
- Constraints llm-inferred
- DOCS describe an interactive web map only; no API, download or data export is documented, despite the data_api kind in ENTRY · ENTRY lists region as England, but DOCS state coverage of Great Britain · Time span, resolution and update frequency are not stated in DOCS · DOCS contain conflicting figures (400+ datasets in one place, 300+ data layers in another), so counts may be outdated
Englandpage reachable
data apiGovernment / regulator69.5/100Currency E
site forecast
What's in it
- Data offered docs-verified
- atmospheric model data (GRIB2 parameters) · site-specific weather forecast · global spot data · National Severe Weather Warnings Service (NSWWS) · land observations · map images
- Coverage docs-verified
- Worldwide per docs; entry metadata lists United Kingdom and Global
- Formats docs-verified
- GRIB2
- Access docs-verified
- Registration required; free and paid plans; API credentials issued on subscription; governed by Met Office Weather DataHub Terms and Conditions
Useful for
- Use cases llm-inferred
- Site-specific forecast inputs for a drainage or flood risk assessment · Screening of severe weather warnings (NSWWS) for site visit planning · Land observation records for climatic context in an environmental baseline · Map images for site location and reporting figures
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · environmental consultants · planners · GIS analysts
Limitations
- Constraints docs-verified
- API call plans are limited by daily request quotas · Atmospheric data plans are metered in GB per month (base-1024) · Paid plans require a billing subscription; failed payment blocks subscription · Authentication required via API credentials
United Kingdom · Globalpage reachable
data apiGovernment / regulator69/100Currency E
NatureScot Scottish natural heritage GIS datasets covering protected sites, habitats, species and biodiversity for ecological assessment and environmental planning.
What's in it
- Data offered llm-inferred
- Scottish designated sites
- Coverage llm-inferred
- Scotland
- Access llm-inferred
- Free and open; no authentication required; licence OGL-3.0
Useful for
- Use cases llm-inferred
- Screening a Scottish site for proximity to designated sites during EIA or planning constraints review · Designated-site context for an ecology baseline in Scotland · Identifying designated-site constraints before habitat or BNG survey scoping
- Audience llm-inferred
- ecologists · planners · GIS analysts · environmental consultants
Limitations
- Constraints llm-inferred
- No DOCS text was retrieved, so the datasets, formats, coverage dates and update cadence are unverified · Entry lists only a short description and no tools, so the API surface is unknown
Scotlandpage reachable
datasetGovernment / regulator68.4/100Currency E
A Site of Special Scientific Interest (SSSI) is the land notified as an SSSI under the Wildlife and Countryside Act (1981), as amended. Sites notified under the 1949 Act only are not included in the Data set. SSSI are the finest sites for wildlife and natural features in England, supporting many characteristic, rare and endangered species, habitats and natural features. The data do not include "proposed" sites. Boundaries are generally mapped against Ordnance Survey MasterMap. Attribution statem
What's in it
- Data offered docs-verified
- Sites of Special Scientific Interest (SSSI) boundaries, England
- Coverage docs-verified
- England
- Resolution docs-verified
- Boundaries generally mapped against Ordnance Survey MasterMap; no numeric scale stated
- Update frequency docs-verified
- monthly
- Formats docs-verified
- Shapefile (ZIP) · GeoPackage (ZIP) · GeoJSON (ZIP) · File Geodatabase (ZIP) · ArcGIS layer file (.lyr) · OGC API - Features · WFS · WMS
- Access docs-verified
- Free and open; no public access constraints; Open Government Licence v3.0
Useful for
- Use cases llm-inferred
- Ecological and planning constraints screening for drainage, civils or flood schemes in England · Overlaying SSSI boundaries on BNG habitat baseline maps · Environmental due diligence flagging SSSI proximity for development sites · Site selection GIS layer for ecological constraints
- Audience llm-inferred
- ecologists · planners · GIS analysts · environmental consultants · drainage engineers
Limitations
- Constraints docs-verified
- Sites notified only under the 1949 Act are not included · Proposed SSSI sites are not included · Boundaries are generally, not exactly, mapped against OS MasterMap · Attribution statement required: © Natural England copyright
Englandhealthy
datasetGovernment / regulator68.4/100Currency E
The Impact Risk Zones for Sites of Special Scientific Interest (SSSI IRZs) are for local planning authorities (LPAs) to determine if a proposed development is likely to affect a terrestrial SSSI and when to consult Natural England. The SSSI IRZs are a Geographical Information System (GIS) tool developed by Natural England to make rapid initial assessment of the potential risks posed by development proposals to SSSIs and those Special Areas of Conservation (SACs), Special Protection Areas (SPAs)
What's in it
- Data offered docs-verified
- SSSI impact risk zones (zones around each site reflecting feature sensitivities) · indicators of development types with potential adverse impacts · Natural England statutory advice for certain development types (in certain locations)
- Coverage docs-verified
- England
- Update frequency docs-verified
- monthly
- Formats docs-verified
- Shapefile · GeoPackage · GeoJSON · File Geodatabase · WMS · WFS · OGC API - Features · ESRI REST Feature Service
- Access docs-verified
- Free/open: no public access constraints; Open Government Licence v3.0 with Natural England attribution statement
Useful for
- Use cases llm-inferred
- Planning constraints screening for a development site at pre-application stage · Checking whether a drainage outfall or SuDS scheme may trigger Natural England consultation · Ecological constraints layer for BNG baseline and habitat impact assessment
- Audience llm-inferred
- ecologists · planners · GIS analysts · environmental consultants · drainage engineers
Limitations
- Constraints docs-verified
- Terrestrial SSSIs only (marine sites not covered) · Screening tool for initial assessment only, not a full ecological assessment · Statutory advice included only in certain locations · Attribution statement required
Englandhealthy
datasetGovernment / regulator67.7/100Currency E
The LIDAR point cloud is an archive of hundreds of millions, or sometimes billions of highly accurate 3-dimensional x,y,z points and component attributes produced by the Environment Agency. The environment agecy site specific LIDAR DSM and DTM Time Stamped Tiles gridded raster products are derived from the point cloud. The component attributes a point cloud contains can provide valuable additional information to supplement elevation and can enable the user to make bespoke raster products such as
What's in it
- Data offered docs-verified
- LIDAR point cloud (x,y,z points with component attributes) · LIDAR DSM and DTM time stamped tiles (gridded rasters derived from the point cloud)
- Coverage docs-verified
- England · Site surveys since 1998; point cloud available for surveys going back to 2006
- Update frequency docs-verified
- quarterly
- Formats docs-verified
- LAZ (within ZIP archives) · ZIP · GeoPackage · GeoJSON · Shapefile · File Geodatabase · WFS · WMS
- Access docs-verified
- Free and open download under the Open Government Licence (OGL v3.0); no public access constraints
Useful for
- Use cases llm-inferred
- Bespoke canopy height model or intensity raster from the point cloud for ecological or BNG habitat baselining · Multi-year terrain comparison across survey dates for flood risk or channel change assessment · Point-level ground checks against design surfaces for civils earthworks or drainage strategy
- Audience llm-inferred
- GIS analysts · flood consultants · drainage engineers · civils engineers · ecologists
Limitations
- Constraints docs-verified
- Classified ground points do not match the final manually edited DTM · Not every DSM/DTM tile has a matching point cloud due to historic archiving · Point cloud available only for surveys back to 2006 · Very large archive (hundreds of millions to billions of points) delivered in 5km zip tiles
Englandhealthy
data apiGovernment / regulator67.3/100Currency E
Historic England National Heritage List for England listed buildings and scheduled monuments as statutory heritage planning constraints for development and civil engineering site assessment.
What's in it
- Data offered llm-inferred
- listed buildings
- Coverage llm-inferred
- England
- Access llm-inferred
- free/open, no auth; licence OGL-3.0
Useful for
- Use cases llm-inferred
- Heritage constraint screening for a development site or planning application · Identifying listed buildings near a site for FRA or environmental impact context · Mapping heritage assets for a planning appraisal or GIS constraints layer
- Audience llm-inferred
- planners · heritage consultants · GIS analysts
Englandrestricted
datasetGovernment / regulator65/100Currency E
The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron se
What's in it
- Data offered docs-verified
- daily volumetric soil moisture maps
- Coverage docs-verified
- UK and Ireland · 2016-01-01 to 2023-12-31
- Resolution docs-verified
- 2000 m (2 km) spatial; 1 day temporal
- Update frequency docs-verified
- Near-real-time production, lagging by about one week; daily time steps
- Formats docs-verified
- TIFF
- Access docs-verified
- Open Government Licence (OGL); whole dataset downloadable as a zip package; no authentication listed
Useful for
- Use cases llm-inferred
- Antecedent soil moisture context for FRA runoff and catchment wetness assessment · Soil moisture inputs for peatland or greenhouse gas ecosystem modelling in ecology assessments · Regional wetness baseline for drainage strategy and SuDS infiltration context
- Audience llm-inferred
- flood consultants · hydrologists · ecologists · GIS analysts · drainage engineers
Limitations
- Constraints docs-verified
- NRFA input data cover Great Britain only; estimates in Ireland and continental Europe are less accurate · Gaps in meteorological and remote sensing input time series mean no data for those days · Modelled product, not direct measurement; calibrated on a network of cosmic-ray neutron sensors · Time series ends 2023-12-31 per the stated temporal extent
United Kingdomhealthy
mcpGovernment / regulator64.7/100Currency B
MCP Server for the USGS National Map APIs
What's in it
- Data offered docs-verified
- streams, rivers and canals with stream order, drainage area, slope, elevation, modelled flow (qama, cfs) and velocity (vama, fps) · lakes, ponds, reservoirs, swamps and areal water features (wide rivers, bays, rapids, dams) · stream gages with NWIS linkage and drainage area · springs, waterfalls, dams/weirs, gates, levees, wells and other water features · HUC12 watershed name, code, downstream HUC, type, area and states
- Coverage docs-verified
- United States
- Formats docs-verified
- MCP stdio · MCP HTTP (served at /mcp) · GeoJSON input geometry
- Access docs-verified
- Free, no authentication (public service); underlying USGS data is public domain
Useful for
- Use cases llm-inferred
- FRA baseline flows: find gauges within a buffered site polygon with hydro_find_gages and read drainage area (dasqmi) and NWIS linkage · Drainage strategy context: identify the HUC12 watershed and its downstream HUC for a site with hydro_identify_watershed · Watercourse and waterbody constraint mapping for planning or ecological screening using hydro_find_waterways and hydro_find_waterbodies · Outfall and culvert screening using modelled EROM flow and velocity from flowline attributes
- Audience llm-inferred
- flood consultants · hydrologists · drainage engineers · GIS analysts · ecologists · planners
Limitations
- Constraints docs-verified
- Each layer caps at 2000 records per request; results set truncated: true when the cap is hit · Feature geometry is not returned, so results are attributes only · Tools are geometry-intersection queries; routed upstream/downstream tracing is not yet implemented · Drainage-area units differ: gages use square miles (dasqmi), flowlines and watersheds use square km · Point and line layers need a Polygon or BoundingBox to reliably capture features · Covers the United States only
Some details auto-extracted · unverified
United Stateshealthy
datasetGovernment / regulator62.9/100Currency E
UKCEH Environmental Information Data Centre research datasets on ecology, hydrology, land cover, soils, environmental change and catchment processes.
What's in it
- Data offered docs-verified
- Land cover datasets · Hydrology datasets · Water quality datasets · Climate and climate change datasets · Soil datasets · Biodiversity datasets
- Coverage llm-inferred
- United Kingdom
- Formats docs-verified
- CSV · NetCDF · GeoPackage · GeoJSON · Microsoft Excel · PNG · JPEG
- Access llm-inferred
- No authentication required (auth: none); licence varies by dataset (ENTRY licence: Various)
Useful for
- Use cases llm-inferred
- Baseline land cover mapping for habitat or ecological context · Catchment hydrology and climate inputs for flood risk or drainage assessments · Water quality baseline data for consented or monitored sites
- Audience llm-inferred
- ecologists · hydrologists · flood consultants · GIS analysts · environmental consultants · planners
Limitations
- Constraints llm-inferred
- Licence varies by dataset, so terms must be checked per record · Catalogue page gives facet counts only, with no per-dataset resolution, coverage or update details · Entry covers a whole catalogue of thousands of records, so suitability depends on the specific dataset chosen
United Kingdomhealthy
datasetGovernment / regulator61.5/100Currency E
Monthly Historical information for 37 UK Meteorological Stations. Most go back to the early 1900s, but some go back as far as 1853. Data includes: * Mean maximum temperature (tmax) * Mean minimum temperature (tmin) * Days of air frost (af) * Total rainfall (rain) * Total sunshine duration (sun) Station data files are updated on a rolling monthly basis, around 10 days after the end of the month. Data are indicated as provisional until the full network quality control has been carried out. After t
What's in it
- Data offered docs-verified
- monthly mean maximum temperature (tmax) · monthly mean minimum temperature (tmin) · days of air frost (af) · monthly total rainfall (rain) · monthly total sunshine duration (sun)
- Coverage docs-verified
- UK (37 Met Office meteorological stations) · Most stations from the early 1900s; some from 1853
- Resolution docs-verified
- Monthly values per station
- Update frequency docs-verified
- Monthly, rolling, around 10 days after the end of each month
- Formats docs-verified
- TXT
- Access docs-verified
- Free download under UK Open Government Licence (OGL) for the listed stations; data for other stations and associated charges via Met Office Customer Centre
Useful for
- Use cases llm-inferred
- Long-term temperature and rainfall baseline for FRA and drainage design context · Frost-day and temperature trend analysis for freeze-thaw risk in geotechnical assessments · Monthly rainfall and sunshine series for ecological or climate-resilience reporting
- Audience llm-inferred
- flood consultants · hydrologists · drainage engineers · geotechnical engineers · ecologists · climate resilience consultants
Limitations
- Constraints llm-inferred
- Data are provisional until full network quality control is complete · No allowance made for small site changes or instrumentation developments · Only 37 stations in this dataset; other stations are chargeable · Monthly TXT files per station; no API or MCP tools listed in the entry
United Kingdomhealthy
data api61.2/100Currency E
UK species records desk study
What's in it
- Data offered llm-inferred
- UK species occurrence records
- Coverage llm-inferred
- United Kingdom
- Access llm-inferred
- Free/open; no authentication required (auth: none); licence: CC per record
Useful for
- Use cases llm-inferred
- Protected and notable species screening for a planning or development site desk study · Species context for a BNG habitat baseline · Ecological constraints review at the start of a drainage or civils scheme
- Audience llm-inferred
- ecologists · planners · environmental consultants · GIS analysts
Limitations
- Constraints llm-inferred
- No documentation was retrieved, so API endpoints, formats, and record-level detail are unverified · Licence is CC per record, so attribution and licence terms must be checked for each record used · Desk-study records are not a substitute for a field survey; recording effort and gaps are not described
United Kingdompage reachable
datasetGovernment / regulator60.7/100Currency E
The Most Probable Overland Flow Pathway dataset is a polyline GIS vector dataset that describes the likely flow routes of water along with potential accumulations of diffuse pollution and soil erosion features over the land. It is a complete network for the entire country (England) produced from a hydro-enforced LIDAR 1-metre resolution digital terrain model (bare earth DTM) produced from the 2022 LIDAR Composite 1m Digital Terrain Model. Extensive processing on the data using auxiliary datasets
What's in it
- Data offered docs-verified
- Probable Overland Flow Pathways (polyline) · Detailed Watersheds (polygon) · Ponding and Errors (polygon)
- Coverage docs-verified
- England
- Resolution docs-verified
- 1 m source DTM; flow network based on theoretical one-hectare flow accumulations
- Update frequency docs-verified
- As needed (per publisher metadata)
- Formats docs-verified
- GeoJSON (zipped) · GeoPackage (zipped) · File Geodatabase (zipped) · OGC API - Features · WFS · WMS
- Access docs-verified
- Free and open; no public access constraints; Open Government Licence
Useful for
- Use cases llm-inferred
- Identifying likely overland flow routes and accumulation areas for flood risk screening · Locating exceedance flow paths to inform a drainage strategy · Screening catchments for diffuse pollution and soil erosion risk · Mapping slope along flow pathways for site-level surface water assessment
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · GIS analysts · civils engineers
Limitations
- Constraints docs-verified
- Does not consider infiltration; assumes no absorption of water through the soil · Unresolved blockages such as culverts and bridges can create false pathways; flagged with Ponding = 1 and should be disregarded · Use with caution in very flat areas and highly modified drainage systems such as fenlands and the Somerset Levels · Errors may occur at bridges, viaducts and culverts · England only
Englandhealthy
data apiGovernment / regulator60.7/100Currency E
Irish water quality
What's in it
- Data offered docs-verified
- Water quality maps and figures · WFD river waterbodies and sub-basin spatial data · OSI river and lake network (Geometric River Network, Lake Segment) · EPA Hydrometric Gauges Register · Biological Q stations and records · Lake phytoplankton taxonomic data · Lake macrophyte data · EPA licensed facilities · PRTR facilities · NEMN lake monitoring sites
- Coverage docs-verified
- Ireland · varies by dataset, e.g. 2007-2025 (lake macrophyte data), 2019-2024 (water quality maps)
- Resolution docs-verified
- 1:50,000 scale (OSI river and lake GIS data)
- Formats docs-verified
- WMS
- Access llm-inferred
- No authentication; free download (licence CC-BY-4.0 per catalogue metadata)
Useful for
- Use cases llm-inferred
- WFD waterbody and sub-basin context for Irish river or lake projects · Catchment and river network mapping at 1:50,000 for Irish desk studies · Locating nearest Irish hydrometric gauge from the gauges register for baseline context · Water quality map review for Irish environmental impact or diffuse pollution assessments
- Audience llm-inferred
- hydrologists · GIS analysts · environmental consultants · ecologists · planners
Limitations
- Constraints llm-inferred
- Covers Ireland only, not the UK · Update frequency not stated; release dates are per dataset · Download file formats are not specified in the docs · Datasets cover different periods, so there is no single continuous time series · Hydrometric gauges register is a register; the docs do not state that flow or level time series are provided · Catalogue lists no tools, so no MCP interface is indicated
Irelandpage reachable
datasetGovernment / regulator60.1/100Currency E
Environmental Pollution Incident data filtered for Categories 1 and 2. Details of environmental incidents within the remit of the Environment Agency are held on the National Incident Recording System (NIRS2). This dataset only includes substantiated completed and closed Environment Management incidents (predominantly pollution), where the environment impact level is either category 1 (major) or category 2 (significant) to at least 1 media (i.e. water, land or air). It is updated quarterly and pr
What's in it
- Data offered docs-verified
- Environment Agency substantiated, completed and closed pollution incidents (predominantly pollution) at category 1 (major) or category 2 (significant) impact to at least one medium (water, land or air)
- Coverage llm-inferred
- England (Environment Agency remit); extent latitude 49.943 to 55.816, longitude -6.236 to 2.072 · Not stated. Metadata gives dataset reference date (creation) 2001-03-01 and revision 2026-10-09
- Update frequency docs-verified
- quarterly
- Formats docs-verified
- ZIP
- Access docs-verified
- Download via data.gov.uk. Licensed under the Environment Agency Conditional Licence, which has a limited duration of one year and terminates automatically. Conditions apply to personal data. No authentication stated. Price not stated.
Useful for
- Use cases llm-inferred
- Screen a site or catchment for past major or significant EA pollution incidents during due diligence or contaminated land desk studies · Add incident history to water quality baseline context for EIA or Water Framework Directory receptor assessments · Support drainage or civils risk reviews by identifying nearby historic pollution events that may affect permitting or construction
- Audience llm-inferred
- environmental consultants · hydrologists · water quality scientists · contaminated land specialists · EIA and planning consultants · due diligence analysts
Limitations
- Constraints docs-verified
- Only category 1 (major) and category 2 (significant) incidents are included; lower-impact incidents are excluded · Recent incidents may be missing because of recording lag · Records may change after final QA and as further information becomes available · Incident locations do not imply that the site or property owner was responsible · Licence is time-limited to one year and carries personal data compliance conditions · Snapshot of NIRS2 data updated quarterly, not real time
Englandhealthy
Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.
What's in it
- Data offered docs-verified
- Vector datasets from uploaded files, created datasets, or registered PostGIS tables · Feature-service snapshots from WFS, ArcGIS FeatureServer, or OGC API Features (one-shot copies) · Remote STAC assets as live references · Catalog metadata with fuzzy and optional semantic search
- Formats docs-verified
- Shapefile · GeoPackage · GeoJSON · GeoParquet · FlatGeobuf · KML · KMZ · zipped File Geodatabase · CSV · XLSX
- Access docs-verified
- Free and open source under Apache-2.0, self-hosted via Docker Compose; API calls use a JWT bearer token from admin login
Useful for
- Use cases llm-inferred
- Index shared-drive shapefiles and PostGIS tables for a flood-risk or drainage project data room, searchable by metadata · Publish a shared map of survey or site-investigation layers as a link or embed for client review · Serve catalogued vector layers to QGIS or ArcGIS via OGC API Features for FRA or environmental baseline work · Run buffer, clip, and intersect analysis on consultancy layers, such as constraint buffers around watercourses
- Audience llm-inferred
- GIS analysts · flood consultants · drainage engineers · ecologists · planners
Limitations
- Constraints docs-verified
- Read-only MCP server for coding agents (per docs) · Self-hosted: requires a running GeoLens stack of six containers (about 1.3 GB resident) · WFS, ArcGIS, and OGC API Features imports are one-shot copies, not live · Map previews capped at 500 features; dissolve is materialize-only · GeoLens's own REST API can change between minor releases; standards APIs track their specifications · Semantic search needs an embedding provider and admin setup · No MCP tool names are given in the metadata or docs
Globalhealthy
datasetGovernment / regulator59/100Currency E
The Development Management Procedure Order (2015) requires that the Environment Agency is consulted on developments within Areas with Critical Drainage Problems (ACDPs). This layer displays the geographical coverage of ACDPs across England. ACDPs are currently only located in Devon and Cornwall. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved.
What's in it
- Data offered docs-verified
- Areas with Critical Drainage Problems (ACDP) geographical coverage layer
- Coverage docs-verified
- Devon and Cornwall
- Update frequency docs-verified
- quarterly
- Formats docs-verified
- ZIP
- Access docs-verified
- Open: no public access constraints; Open Government Licence
Useful for
- Use cases llm-inferred
- Screen a site against ACDP boundaries to decide whether Environment Agency consultation is needed (Devon and Cornwall) · Overlay ACDP coverage on constraints maps for drainage strategy scoping · Flag ACDP status in flood risk assessment desk studies for Devon and Cornwall sites
- Audience llm-inferred
- flood consultants · drainage engineers · planners · GIS analysts
Limitations
- Constraints llm-inferred
- Only Devon and Cornwall currently have ACDPs, so most of England will return no features · Dataset created 2016-06-10 and last revised 2025-07-25; boundary currency should be checked against the publisher · Distributed as a ZIP; the geodata format inside the archive is not stated in the docs · Coordinates are in EPSG:27700 (British National Grid), so reprojection may be needed for web mapping · Attribution required: © Environment Agency copyright and/or database right 2016. All rights reserved.
Englandhealthy
datasetGovernment / regulator58.2/100Currency E
scope 1-3 factors
What's in it
- Data offered docs-verified
- Greenhouse gas conversion factors for Scope 1, 2 and 3 emissions, applied to activity data such as fuel volume, kWh of electricity purchased, or distance travelled
- Coverage docs-verified
- United Kingdom · 2002 to 2026 (annual publications)
- Update frequency docs-verified
- Annual
- Access llm-inferred
- Free, no authentication (ENTRY auth: none); licence OGL-3.0 per catalogue metadata
Useful for
- Use cases llm-inferred
- Scope 1-3 GHG inventory from fuel, electricity and business travel activity data for UK operations · SECR-aligned annual emissions reporting · Carbon footprint inputs for environmental or civils project reporting
- Audience llm-inferred
- environmental consultants · sustainability and carbon analysts · UK-based organisations of all sizes reporting emissions · international organisations reporting on their UK operations
Limitations
- Constraints docs-verified
- Factors are for activity-based calculation; Defra spend-based multipliers are a separate method and differ from these factors · Use for purposes other than emissions reporting is at the user's own risk · Factors are published as an annual web collection; no API or file format is stated in the docs
United Kingdomhealthy
data apiGovernment / regulator58.1/100Currency E
UKCEH Land Cover Maps: UK land cover classes (based on UK BAP Broad Habitats) from satellite imagery, 1990 to 2025; vector land parcels and 10m/20m/25m/1km rasters; WMS viewer.
What's in it
- Data offered docs-verified
- UK land cover classes (UK BAP Broad Habitats) · vector land parcels (minimum mappable unit 0.5 ha) · 25m raster · 20m raster (LCM2017-2019 only) · 10m raster (LCM2020-2023 only) · 1km dominant cover raster · Land Cover Change 1990-2015 · UK Land Cover Statistics (2025, due 2026) · UKCEH Land Cover plus: Crops, Fertilisers, Pesticides
- Coverage docs-verified
- United Kingdom (vector non-commercial access is Great Britain only) · 1990 to 2025 (series; not every year is published)
- Resolution docs-verified
- Vector land parcels: minimum mappable unit 0.5 ha. Rasters: 10m, 20m, 25m or 1km pixels.
- Update frequency docs-verified
- Annual Land Cover Maps; LCM2025 10m pixel dataset due by end of August 2026, LCM2025 25m raster, land parcels and statistics due in 2026
- Formats docs-verified
- vector land parcels · raster (10m, 20m, 25m, 1km) · WMS (Web Mapping Service, view only)
- Access docs-verified
- Licensed, depending on use. Free for UK academic research and education via an EDINA Digimap subscription. Free raster download for non-commercial organisations and their contractors via EIDC. Non-commercial vector under licence with a £300 plus VAT admin fee and a usage-reporting condition. Commercial internal business use under a paid licence. Free innovation licence, with a value-added reseller agreement possible. Defra family of agencies: vector at no extra cost.
Useful for
- Use cases llm-inferred
- Flood risk modelling inputs: land cover roughness and runoff classes for an FRA or drainage model, using the 25m raster · Diffuse pollution and runoff risk mapping for catchment management, combining land cover with rainfall and terrain data · Habitat baseline mapping using UK BAP Broad Habitat classes for biodiversity net gain or ecological assessment · Historic land cover change analysis (1990 to 2025) for baseline or trend evidence in planning and environmental impact work
- Audience llm-inferred
- flood consultants · hydrologists · ecologists · GIS analysts · planners · catchment and water quality specialists
Limitations
- Constraints llm-inferred
- Commercial internal business use requires a paid licence; value-added reselling needs a separate agreement · Non-commercial vector access is for Great Britain only and carries an admin fee and a usage-reporting condition · Free raster download is limited to non-commercial organisations and their contractors · Map viewer and WMS are view-only; high-resolution data cannot be downloaded from them · WMS covers selected years only; Northern Ireland is viewable only for the 1km 2007 and 2015 rasters · Raster resolution varies by year: 20m only for 2017-2019, 10m only for 2020-2023, 1km not listed for 2016, 2024 or 2025 · LCM2025 10m and other 2025 products were due in 2026; availability is not confirmed by these docs · Land Cover Change dataset covers 1990-2015 only; new 1990-2015 mapping is in progress · Docs do not name file formats (for example shapefile or GeoTIFF); GIS layer files are provided for symbology · Access requires a data request or licence application; the docs describe downloads and WMS but no API · Published images must be acknowledged, and the docs give citation guidance
United Kingdompage reachable
datasetGovernment / regulator58/100Currency E
This is a high resolution spatial dataset of Digital Surface Model (DSM) data in South West England. It is a part of outcomes from the CEH South West (SW) Project. There is also a Digital Terrain Model (DTM) dataset covering the same areas available from the SW project. Both DTM and DSM cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if p
What's in it
- Data offered docs-verified
- LiDAR-derived Digital Surface Model (DSM) heights, including buildings and vegetation where present
- Coverage docs-verified
- South West England: all land west of Exmouth (west of circa 3°21' W), 9424 km2 · Survey acquired 2013-07-01 to 2013-08-31
- Resolution docs-verified
- 1 m grid cell; average vertical height accuracy 25 cm
- Formats docs-verified
- ESRI grid
- Access docs-verified
- Open Government Licence (OGL). Free download is not explicitly stated. Browser download, WMS, or scripted bulk download (wget/curl) using a personal access token as a Bearer header.
Useful for
- Use cases llm-inferred
- Drainage strategy: 1 m surface heights for overland flow routing and catchment checks in SW England · FRA topographic input: surface height checks along flow paths in the South West · Civils earthworks: pre-development surface baseline for cut/fill estimates · Ecology or habitat screening: vegetation and canopy heights from the surface layer
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · GIS analysts · civils engineers · ecologists
Limitations
- Constraints llm-inferred
- Survey dates from July–August 2013; no update frequency stated · Coverage limited to South West England west of Exmouth · DSM includes buildings and vegetation, so it is not a bare-earth ground model; the separate DTM is needed for ground levels · Average vertical accuracy is 25 cm · Scripted bulk download requires a personal access token
Englandhealthy
datasetGovernment / regulator57.8/100Currency E
This dataset consists of a 25m resolution raster version of the Land Cover Map 2007 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Br
What's in it
- Data offered docs-verified
- land cover class per 25m pixel (JNCC Broad Habitats nomenclature)
- Coverage llm-inferred
- Great Britain · 2005-09-02 to 2008-07-18
- Resolution docs-verified
- 25 m spatial; no temporal resolution stated
- Formats docs-verified
- TIFF
- Access docs-verified
- Licence terms and conditions apply (non-open, per catalogue licence field); download via NERC EIDC; WMS available; no API key or auth stated
Useful for
- Use cases llm-inferred
- Baseline land cover and broad habitat context for a GB site in ecological impact assessment or BNG desk studies · Land cover inputs (e.g. runoff coefficients) for catchment hydrological or drainage modelling in Great Britain · Desk-based habitat and land use screening for planning and environmental consultancy
- Audience llm-inferred
- ecologists · GIS analysts · hydrologists · drainage engineers · planners
Limitations
- Constraints llm-inferred
- Snapshot of 2005-2008 land cover; likely outdated for current land use · Covers Great Britain only; Northern Ireland not included · Licence terms apply, so redistribution and commercial use need checking · Access is by download or WMS only; no API is described
United Kingdomhealthy
Secure MCP gateway for AI agents — deny-wins ACLs, IFC, in-process ML safety, 138 Kani proofs
What's in it
- Data offered docs-verified
- MCP gateway · Information Flow Control · deny-wins ACLs · credential brokering · audit blackbox · agent SDK · multi-agent flow orchestration
- Formats docs-verified
- MCP streamable HTTP · MCP stdio · MCP WebSocket · MCP Unix socket
- Access docs-verified
- Free and open source under Apache-2.0; self-hosted, built from source with cargo
Useful for
- Use cases llm-inferred
- Put a permission-controlled gateway in front of MCP tools used by agents on a client engagement, so file and domain access is denied by default · Keep a tamper-evident audit log of AI agent tool calls for engagement QA records · Expose an internal OpenAPI-described environmental or asset API to agents as MCP tools, with OAuth
- Audience llm-inferred
- AI platform engineers · security and IT engineers · Rust developers · IT governance teams
Limitations
- Constraints llm-inferred
- Not a data source: no water, civils, GIS, hydrology, BIM or environmental datasets are described in DOCS · Catalogue category civils_bim is not supported by DOCS · No geographic or temporal coverage is described; ENTRY region 'Global' is metadata only · Requires a Rust toolchain and building from source (Quickstart) · The '138 Kani proofs' count in the ENTRY description does not appear in DOCS · Much of the feature set (ML safety filters, model serving, voice, vision) is irrelevant to data-retrieval use
Some details auto-extracted · unverified
Globalhealthy
software57.7/100Currency A
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
What's in it
- Data offered docs-verified
- AI weather/climate model inference (e.g. FourCastNet3, ECMWF AIFS, GraphCast) · Input data sources (e.g. GFS, IFS, ERA5) · Forecast output to Zarr stores · Statistical operations and pipeline composition
- Coverage llm-inferred
- Depends on model/data source: several global models (e.g. FourCastNet3, GraphCast); CorrDiff ERA5-HRRR covers the contiguous United States
- Formats docs-verified
- Python package · Zarr (via ZarrBackend)
- Access docs-verified
- Free and open source under Apache-2.0. Underlying model checkpoints and datasets are licensed by their providers and must be checked individually.
Useful for
- Use cases llm-inferred
- Pull ERA5 surface winds for a historical event as meteorological context for an environmental or civils assessment · Run a short deterministic forecast (e.g. FourCastNet3) to inform short-range weather-risk planning for site works · Bulk-fetch GFS or IFS fields into Zarr as preprocessing for hydrological or drainage model inputs · Prototype AI downscaling (e.g. CorrDiff ERA5-HRRR) for US-based comparison studies
- Audience llm-inferred
- Hydrologists · Climate and meteorological scientists · Python developers · GIS analysts
Limitations
- Constraints llm-inferred
- Model-specific installation steps are required · Python 3.11 to 3.14 per the badge in the README · Third-party model and dataset licences apply and must be checked per asset · Framework only; no UK-specific datasets or regional coverage are described in the docs · Requires a Python environment; not a plug-and-play MCP server
Some details auto-extracted · unverified
Globalhealthy
Free, open-source MCP server giving AI assistants 17 weather tools — a one-call weather summary plus forecasts, alerts, air quality, marine, radar, lightning, rivers, wildfires, and historical data back to 1940. Ask by city name or coordinates. Built on free public APIs (NOAA, Open-Meteo). No API keys, no signup.
What's in it
- Data offered
- forecasts · current conditions · alerts · air quality · marine conditions · lightning · radar · rivers · wildfires · historical weather
- Coverage
- Global for most tools; US data richest and some tools US-only · 1940 to present (historical observations)
- Resolution
- 15-minute temporal for precipitation nowcast (2-hour horizon, North America and Central Europe); spatial resolution not stated
- Formats
- MCP stdio
- Access docs-verified
- Free and open source (MIT); no API key or signup required; optional API keys unlock extras
Useful for
- Use cases
- FRA baseline weather and river-level context for a GB site, using Environment Agency gauge levels against typical range · Historical weather review back to 1940 for drainage or flood event investigations · Forecast, lightning and alert checks to support site visit and fieldwork planning · Air quality and pollen checks for ecological or construction site work in Europe
- Audience
- flood consultants · hydrologists · drainage engineers · environmental consultants
Limitations
- Constraints docs-verified
- Open-Meteo public access is for non-commercial use; consultants must check commercial subscription/licence requirements. Forecasts and modelled discharge are not statutory flood maps or FEH design inputs. · EA observed river levels cover England; do not infer full Great Britain gauge coverage from the upstream README.
Globalrestricted
datasetGovernment / regulator57.6/100Currency E
The data provide critical loads of acidity, and of nutrient nitrogen for the distributions of UK habitats sensitive to acidification and/or eutrophication. Critical loads have been calculated and applied to UK natural and semi-natural habitats sensitive to acidification and/or eutrophication (excess nitrogen as a nutrient). Critical loads data are available for these habitat types at 1x1 km resolution for the UK. In addition, acidity critical loads are available for 1752 selected freshwater site
What's in it
- Data offered docs-verified
- critical loads of acidity for UK habitats · critical loads of nutrient nitrogen for UK habitats · acidity critical loads for 1752 selected freshwater sites
- Coverage docs-verified
- United Kingdom · 2004-01-01 to 2011-12-31
- Resolution docs-verified
- 1 km (1x1 km grid; 1000 m spatial resolution)
- Update frequency docs-verified
- No update schedule stated; acidity last revised 2004, nutrient nitrogen updated 2011
- Formats docs-verified
- CSV
- Access docs-verified
- Open Government Licence; download from NERC EIDC, scripted bulk download uses a personal access token
Useful for
- Use cases llm-inferred
- Habitat sensitivity screening for acid and nitrogen deposition in ecological baseline or HRA screening · Freshwater acidity baseline using FAB-derived critical loads for surface waters in acid-sensitive regions · Nitrogen and acid deposition sensitivity context for planning applications affecting semi-natural habitats
- Audience llm-inferred
- ecologists · environmental consultants · planners · GIS analysts · hydrologists
Limitations
- Constraints llm-inferred
- Data dated: acidity critical loads last revised 2004, nutrient nitrogen 2011 · Habitat maps cover only areas where critical loads can be calculated and may differ from other national habitat maps · Habitat distributions based on CEH Land Cover Map 2000 plus ancillary data · Freshwater acidity critical loads cover only 1752 selected sites, not all UK surface waters · Tabular CSV (text) rather than a spatial file; grid referenced to OSGB 1936 / British National Grid · Scripted bulk download requires a personal access token
United Kingdomhealthy
datasetGovernment / regulator57.3/100Currency E
This high resolution (1m) spatial dataset provides elevation and terrain information for England and Wales. It includes a digital terrain model (DTM) and a digital surface model (DSM), created by merging LiDAR-based, 1m DTMs and DSMs published by the Environmental Agency in 2023 (England) and Natural Resources Wales in 2024 (Wales). These source data are originally distributed as many small, region‑specific files; this dataset consolidates them into unified, seamless DTM and DSM products for the
What's in it
- Data offered docs-verified
- DTM (bare-earth elevation), 1 m · DSM (surface elevation including buildings and vegetation), 1 m
- Coverage docs-verified
- England and Wales · 2000-06-06 to 2022-04-02
- Resolution docs-verified
- 1 m spatial resolution
- Formats docs-verified
- GeoTIFF
- Access docs-verified
- Open Government Licence (per DOCS). Bulk download via EIDC datastore with a personal access token (Bearer auth) using wget/curl; files are very large, so DOCS recommend the Jupyter notebook code instead.
Useful for
- Use cases llm-inferred
- Catchment terrain analysis (slope, flow direction, flow accumulation) for flood risk or hydrological model inputs · Surface water drainage strategy: overland flow path and depression analysis from the DTM · Canopy height estimation from DSM minus DTM for ecological or biodiversity net gain vegetation baselines · Topographic base surfaces for civils earthworks and levels design
- Audience llm-inferred
- flood consultants · hydrologists · drainage engineers · GIS analysts · ecologists · civils engineers
Limitations
- Constraints llm-inferred
- Very large: total approx. 572.8 GB, with individual files over 250 GB, so the Jupyter notebook subsetting workflow is recommended · Entry licence field says 'Non-Open government licence' but DOCS state Open Government Licence; verify before reuse · Stated temporal extent (2000-06-06 to 2022-04-02) predates the source LiDAR publication dates (England 2023, Wales 2024); clarify what the extent refers to · Scripted download requires a personal access token · No update frequency or vertical accuracy stated in DOCS · Canopy and hydrological analysis are provided only as external Python/Jupyter code, not as a tool or API
United Kingdomhealthy
datasetGovernment / regulator57.3/100Currency E
NDVI is an indicator of the greenness of the biomes. Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.
What's in it
- Data offered docs-verified
- NDVI (ndvi band) · NDVI uncertainty (unc band) · number of observations (nobs band) · quality flag (qflag band)
- Coverage docs-verified
- Global · January 2014 to present
- Resolution docs-verified
- About 300 m spatial; 10-daily temporal composites
- Update frequency docs-verified
- Every 10 days, near real time
- Formats docs-verified
- GeoTIFF (cloud-optimized COG)
- Access docs-verified
- Licence 'other' under the Copernicus Land Monitoring Service data policy; assets reference OIDC authentication and S3 access via the Copernicus Data Space Ecosystem (CDSE).
Useful for
- Use cases llm-inferred
- Multi-year NDVI baseline for vegetation greenness at a site or catchment for ecological baseline reporting · Seasonal NDVI time series for land-cover or vegetation context in drainage and flood risk assessments · Screening NDVI for vegetation condition using the uncertainty and quality flag bands before use in analysis
- Audience llm-inferred
- ecologists · GIS analysts · environmental consultants · hydrologists
Limitations
- Constraints docs-verified
- Pixels above 55°N are class 252 'unknown' (NOBS=0, BRDF priors interpolated) · Special values 252 (unknown), 253 (snow), 254 (water) and 255 (missing) occupy NDVI pixel values and must be handled in analysis · BRDF priors may be gap filled by linear interpolation (qflag bit 7) · Licence is 'other'; use is governed by the Copernicus Land Monitoring Service data policy · Assets reference OIDC authentication; CREODIAS S3 storage is requester-pays
Globalhealthy
datasetGovernment / regulator57.2/100Currency E
This dataset contains peak river flow allowances showing the anticipated changes to peak flow by management catchment. It contains information generated by UK Centre for Ecology and Hydrology using UK Climate projections. The Environment Agency uses peak river flow allowances as benchmarks for the advice it gives as a statutory consultee for flood risk assessments and strategic flood risk assessments (https://www.gov.uk/guidance/flood-risk-assessments-climate-change-allowances). The Environment
What's in it
- Data offered docs-verified
- peak river flow allowances by management catchment · anticipated changes to peak flow for the 2020's, 2050's and 2080's epochs · central, higher central and upper end peak flow allowances (50th, 70th and 95th percentiles)
- Coverage docs-verified
- Bounding box 49.943° to 55.816° N, 6.236° W to 2.072° E; catalogue region England · Epochs 2015 to 2125: 2020's (2015-2039), 2050's (2040-2069), 2080's (2070-2125)
- Resolution docs-verified
- Per management catchment; no cell size or pixel resolution stated
- Update frequency docs-verified
- Irregular
- Formats docs-verified
- OGC API - Features · WFS · WMS · Shapefile (zip) · GeoPackage (zip) · GeoJSON (zip) · File Geodatabase (zip) · ArcGIS layer file (.lyr) · TXT
- Access docs-verified
- Free, open access; Open Government Licence
Useful for
- Use cases llm-inferred
- FRA climate-change uplift of peak flows using the 2050's and 2080's epochs for a catchment in England · FCERM grant-in-aid project benchmarking against Environment Agency peak flow allowances by management catchment · GIS overlay of catchment-level peak flow allowances on a site's management catchment for drainage or flood-risk sensitivity tests
- Audience llm-inferred
- flood risk consultants · hydrologists · drainage engineers · GIS analysts
Limitations
- Constraints docs-verified
- Updated irregularly · Dataset reference date is 2020-12-09 while the page shows an update on 18 September 2026 · Provides peak flow allowances only, not gauged flow records or time series · Allowances are benchmarks for advice and are not design flows in themselves · Catalogue region is England only
Englandhealthy
data apiGovernment / regulator57.2/100Currency E
The BGS has been commissioned by Defra to provide guidance on what are 'normal' levels of contaminant concentrations in English soils in support of the revision of the Part 2A Contaminated Land Statutory Guidance. The domain polygons and other data produced by this work are served as WMS here.
What's in it
- Data offered docs-verified
- domain polygons for normal background concentrations of contaminants in English soils · other BGS datasets produced by the normal background work, served as WMS
- Coverage docs-verified
- England (English soils)
- Update frequency docs-verified
- monthly (dataset metadata; last updated 2 October 2026)
- Formats docs-verified
- WMS
- Access docs-verified
- Public WMS listed on data.gov.uk; no authentication stated. Licence: NERC/BGS access constraints apply (no reproduction or transmission without BGS permission). Site content otherwise under OGL v3.0.
Useful for
- Use cases llm-inferred
- Part 2A contaminated land assessments: compare site soil results against BGS normal background domains · Phase 1/2 site investigation reporting: check whether reported metal concentrations exceed regional background · GIS mapping of background domains as a layer in site or regional geo-environmental reports
- Audience llm-inferred
- contaminated land consultants · geo-environmental engineers · environmental consultants · GIS analysts
Limitations
- Constraints llm-inferred
- WMS is a map-image service; the docs do not state any download, GetFeatureInfo or numeric-value access, so underlying concentration values may not be retrievable · Access constraints: NERC copyright; no reproduction or transmission without BGS permission · NERC/BGS gives no warranty on quality or accuracy and accepts no liability; use is at the customer's own risk · Metadata extent (49.28 to 61.41 N, -9.01 to 3.34 E) is wider than England; confirm the WMS footprint before relying on it for English sites · Dataset reference date is 2012-07-11 but the entry is marked updated 2 October 2026 with monthly update frequency; confirm currency against the revised Part 2A guidance · No resolution or scale is stated in the docs
Englandpage reachable
datasetGovernment / regulator57.2/100Currency E
A Special Area of Conservation (SAC) is the land designated under Directive 92/43/EEC on the Conservation of Natural Habitats and of Wild Fauna and Flora. Data supplied has the status of "Candidate". The data does not include "proposed" Sites. Boundaries are mapped against Ordnance Survey MasterMap. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Attribution statement: © Natural England copyright. Contains Ordnance Su
What's in it
- Data offered docs-verified
- Special Areas of Conservation (SAC) boundaries
- Coverage docs-verified
- England
- Update frequency docs-verified
- Not planned (no scheduled updates)
- Formats docs-verified
- SHP (zipped) · GPKG (zipped) · GeoJSON (zipped) · GDB (zipped) · OGC API - Features · ESRI REST · WFS · WMS · LYR
- Access docs-verified
- Free/open. Open Government Licence v3.0; no public access constraints
Useful for
- Use cases llm-inferred
- Ecological designation screening for drainage or civils scheme boundaries in England · Habitats Regulations and EIA constraints mapping for development sites near SACs · GIS overlay of SAC proximity for planning constraints layers
- Audience llm-inferred
- ecologists · planners · environmental consultants · GIS analysts · civils engineers
Limitations
- Constraints docs-verified
- Candidate status: data is not the final designated SAC dataset · Proposed sites are not included · No scheduled updates
Englandhealthy
datasetGovernment / regulator57.2/100Currency E
A Special Protection Area (SPA) is the land classified under Directive 79/409 on the Conservation of Wild Birds. Data supplied has the status "Classified". The data does not include "proposed" sites. Boundaries are mapped against Ordnance Survey MasterMap. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].
What's in it
- Data offered docs-verified
- Special Protection Area boundaries (classified sites)
- Coverage docs-verified
- England
- Update frequency docs-verified
- notPlanned (no scheduled update frequency)
- Formats docs-verified
- ESRI REST Feature Service · OGC API - Features · WMS · WFS · Shapefile (ZIP) · GeoPackage (ZIP) · GeoJSON (ZIP) · File Geodatabase (ZIP) · ArcGIS layer file (.lyr)
- Access docs-verified
- Free/open: no public access constraints; use subject to the Open Government Licence v3.0
Useful for
- Use cases llm-inferred
- Habitats Regulations Assessment screening: check whether a development site or search area intersects or lies near an SPA · Ecology constraints layer for site appraisal and planning GIS · Drainage or outfall route screening against designated bird sites · Baseline designated-site mapping for EIA scoping reports
- Audience llm-inferred
- ecologists · GIS analysts · planners · environmental consultants
Limitations
- Constraints docs-verified
- Only sites with 'Classified' status; proposed sites are excluded · No scheduled updates (update frequency notPlanned); last revision dated 2025-02-15, so recent designation changes may be missing · Boundaries are mapped against Ordnance Survey MasterMap · Attribution statement required when reusing the data
Englandhealthy
data apiGovernment / regulator57.2/100Currency E
Defined as the height, in meters above the geoid, of the reflecting surface of continental water bodies. It is observed by space radar altimeters and data are available at global scale in near real time in vector format with the temporal extent from 1992 to present.
What's in it
- Data offered docs-verified
- lake and reservoir water level (height above geoid, m) · continental water body surface height from space radar altimeters
- Coverage docs-verified
- Global scale; STAC bbox [-154.9, -50.33, 170.17, 71.48] · 1992-09-26 to present (open-ended)
- Resolution docs-verified
- Daily (temporal); spatial resolution not stated
- Update frequency docs-verified
- Near real time; exact update cadence not stated
- Formats docs-verified
- GeoJSON
- Access docs-verified
- Licence 'other' under the Copernicus Land Monitoring Service data policy. HTTPS assets use CDSE OpenID Connect auth; S3 storage is available (CDSE S3 not requester-pays, CREODIAS S3 requester-pays). Free or paid status not stated.
Useful for
- Use cases llm-inferred
- Lake and reservoir level trend analysis for water-resource desk studies outside gauged areas · Remote water level context for flood risk or drought assessments on large lakes · Time-series screening of water body levels in GIS for environmental baseline reporting
- Audience llm-inferred
- hydrologists · water resources engineers · GIS analysts · environmental consultants
Limitations
- Constraints llm-inferred
- Spatial extent is a bounding box (lat -50.33 to 71.48), not all land areas · No spatial resolution stated in docs · HTTPS access requires CDSE OpenID Connect authentication, although catalogue auth is listed as null · CREODIAS S3 storage is requester-pays · Licence is 'other', so reuse terms need checking against the Copernicus data policy
Globalpage reachable
datasetGovernment / regulator57/100Currency E
Priority Habitat Chalk Rivers, based on Environment Agency Detailed River Network v3. Data prepared Autumn 2021. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].
What's in it
- Data offered docs-verified
- Priority Habitat Chalk Rivers (England)
- Coverage docs-verified
- England (extent lat 49.943° to 55.816°, lon -6.236° to 2.072°, EPSG:27700) · Data prepared Autumn 2021
- Update frequency docs-verified
- Not planned (metadata frequency: notPlanned); last revision 2025-07-25
- Formats docs-verified
- Shapefile (zip) · GeoPackage (zip) · GeoJSON (zip) · File Geodatabase (zip) · OGC API - Features · ESRI REST Feature Server · ESRI REST Map Server · WMS · WFS · ArcGIS layer files (.lyr, .lyrx)
- Access docs-verified
- Free, open access under the Open Government Licence v3.0; no public access constraints
Useful for
- Use cases llm-inferred
- Screen FRA and drainage proposals for proximity to chalk river habitat · Constraints mapping for river restoration and Biodiversity Net Gain baselines on chalk streams · Overlay with EA river network and site boundaries in GIS for ecological desk studies
- Audience llm-inferred
- ecologists · GIS analysts · planners · flood consultants · hydrologists
Limitations
- Constraints llm-inferred
- Based on EA Detailed River Network v3 with data prepared in autumn 2021; may not reflect later channel changes · No planned update schedule · Attribution statement contains an unfilled '[year]' placeholder that must be completed when citing · Habitat designation layer only; not a hydrometric or flow dataset
Englandhealthy
datasetGovernment / regulator57/100Currency E
The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segmen
What's in it
- Data offered docs-verified
- habitat probability map (modelled broad habitat classes)
- Coverage docs-verified
- England · Training data from 2021 (with historic data layers); dataset reference date 2022-03-31
- Update frequency docs-verified
- Not planned (no scheduled updates); last updated 18 November 2025
- Formats docs-verified
- GeoJSON (zipped) · GeoPackage (zipped) · File Geodatabase (zipped) · OGC API - Features · ESRI REST Feature Server · ESRI REST Map Server · WMS · WFS · ArcGIS layer file (.lyr)
- Access docs-verified
- Free and open; Open Government Licence v3.0; no public access constraints (use subject to the licence)
Useful for
- Use cases llm-inferred
- Desk-based habitat context for ecology constraints and BNG baseline screening on England sites · Habitat baseline for natural capital assessments and ELM-related land-use appraisal · Regional habitat mapping for planning and EIA scoping where field survey data is unavailable
- Audience llm-inferred
- ecologists · GIS analysts · environmental consultants · planners · natural capital assessors
Limitations
- Constraints llm-inferred
- Modelled probability map of broad habitat classes, not site-level field-verified data · Trained on 2021 earth observation and survey data; no updates planned · Methodology intended to be standardised in later phases, so future versions may differ · Attribution statement required for use
Englandhealthy
datasetGovernment / regulator57/100Currency E
This is a spatial dataset showing the extent and location of surface water catchment area of relevant designated sites, constituting Nutrient Neutrality catchments. Extracted from N2K Diffuse Water Pollution Plans Catchments data alongside WFD catchment data, River Basin Management Plans and Surface Water Catchment mapping in consultation with Area Teams, LPAs and Environment Agency. Attribution statement: © Natural England copyright and/or database right 2023. All rights reserved. Contains data
What's in it
- Data offered docs-verified
- Nutrient Neutrality catchment boundaries (surface water catchments of relevant designated sites)
- Coverage docs-verified
- England
- Update frequency docs-verified
- As needed (asNeeded)
- Formats docs-verified
- GeoPackage · Shapefile · GeoJSON · File Geodatabase · ESRI REST Feature Service · OGC API - Features · WMS · WFS · ArcGIS layer file (.lyr)
- Access docs-verified
- Free/open. Open Government Licence v3.0, no access conditions.
Useful for
- Use cases llm-inferred
- Nutrient neutrality screening: check whether a development site lies within a designated-site surface water catchment · Water quality constraints mapping for local plan or planning application site appraisals · Overlaying development boundaries and drainage outfalls on catchments in British National Grid GIS
- Audience llm-inferred
- planning consultants · drainage engineers · water quality and environmental consultants · GIS analysts
Limitations
- Constraints llm-inferred
- Resolution and mapping scale are not stated in the docs · Compiled from several source datasets and local consultation, so it is not a substitute for a formal Natural England or local planning authority determination · Created 2024-02-15 and revised 2026-04-15; confirm currency before use · Attribution to Natural England, Ordnance Survey, Environment Agency and other listed bodies is required
Englandhealthy
datasetGovernment / regulator57/100Currency E
The Priority Habitat Inventory is a spatial dataset that maps priority habitats identified in the UK Biodiversity Action Plan and listed as being of principal importance for the purpose of conserving or enhancing biodiversity, under Section 41 of the Natural Environment and Rural Communities Act (2006). The PHI is updated twice a year and where possible habitats are mapped to polygons in OS Mastermap. These polygons are merged or split where necessary to create resulting habitat patches. The PHI
What's in it
- Data offered docs-verified
- priority habitat polygons (27 terrestrial and freshwater habitat types, e.g. blanket bog, lowland heathland, reedbeds, lakes, ponds) · secondary habitat classes (fragmented heath, grass moorland, good quality semi-improved grassland, no main habitat) · feature codes for priority ponds/lakes, woodland, grassland, heathland and coastal dunes
- Coverage docs-verified
- England · Dataset reference date (creation) 2014-11-24; revision 2025-10-23
- Resolution docs-verified
- Polygons, mapped to OS MasterMap where possible; merged or split to form habitat patches
- Update frequency docs-verified
- Twice a year (summary); metadata states frequency of update as notPlanned
- Formats docs-verified
- GeoJSON · GeoPackage · File Geodatabase · OGC API - Features · WFS · WMS · ESRI REST Feature Service · PDF · XLSX · LYRX
- Access docs-verified
- Free / open: no public access constraints; use subject to Open Government Licence v3.0. Some content also under CC BY 4.0 (Cumbria Wildlife Trust grassland extract).
Useful for
- Use cases llm-inferred
- Screen development boundaries for priority habitat overlap in FRA and ecology constraints reports · Priority habitat baseline for BNG habitat mapping and trading-rule checks · Map priority ponds, lakes and wetland habitats near drainage or SuDS outfall options · Identify priority habitats along road, rail or pipeline corridors during route options appraisal
- Audience llm-inferred
- ecologists · environmental consultants · planners · GIS analysts · flood consultants
Limitations
- Constraints llm-inferred
- England only · Mapping is only to OS MasterMap polygons where possible, so some habitats are not polygon-accurate · Update frequency is inconsistent between summary (twice a year) and metadata (notPlanned) · Attribution statement required (Natural England and Ordnance Survey) · Some secondary classes are not priority habitats and need ecological interpretation · Priority habitat status requires ecological survey verification for planning use
Englandhealthy
datasetGovernment / regulator57/100Currency E
"One of the two datasets that make up the Priority River Habitat Map. Consists of rivers and streams that exhibit a high degree of naturalness. The naturalness classification used to map priority river habitat is based on recent work to review the river SSSI series. It evaluates four main components of habitat integrity: hydrological, physical, physico-chemical (water quality) and biological. An additional classification of the naturalness of headwaters (defined as streams with a catchment area
What's in it
- Data offered docs-verified
- priority river habitat: rivers and streams classified by degree of naturalness (hydrological, physical, physico-chemical and biological integrity) · headwater naturalness classification (streams with catchment <10km²)
- Coverage docs-verified
- England (extent 50° to 55.8° N, -5.7° to 1.8° E)
- Update frequency docs-verified
- not planned (no scheduled updates)
- Formats docs-verified
- SHP (ZIP) · GeoPackage (ZIP) · GeoJSON (ZIP) · File Geodatabase (ZIP) · OGC API - Features · WFS · WMS · ESRI REST Feature Server · ArcGIS layer file
- Access docs-verified
- Free/open; Open Government Licence v3.0; no public access constraints
Useful for
- Use cases llm-inferred
- River habitat constraints screening for a riverside site in England (planning and FRA context) · Ecological baseline for river habitat condition near a development, supporting BNG or WFD assessments · Identifying near-natural reaches before bank, culvert or channel works that may affect priority habitat
- Audience llm-inferred
- ecologists · hydrologists · planners · GIS analysts · environmental consultants
Limitations
- Constraints llm-inferred
- Covers England only · Only one of the two datasets that make up the Priority River Habitat Map; the other dataset is needed for the full map · Headwater naturalness relies on land cover as a proxy for habitat condition rather than direct measurement · No scheduled update frequency, so currency depends on the publisher
Englandhealthy
datasetGovernment / regulator57/100Currency E
Site Units are divisions of SSSIs. based on habitat, tenure and management, and are the basis for recording all information on SSSI Condition and management. They range in Area from 0.004ha up to 18,000ha and only overlap where SSSIs overlap. Boundaries are generally mapped against Ordnance Survey MasterMap. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].
What's in it
- Data offered docs-verified
- SSSI Unit boundaries (England)
- Coverage docs-verified
- England
- Update frequency docs-verified
- as needed (no fixed schedule)
- Formats docs-verified
- OGC API - Features · WFS · WMS · ArcGIS REST Feature Service · SHP (zipped) · GPKG (zipped) · GeoJSON (zipped) · FileGDB (zipped)
- Access docs-verified
- Free and open download; no public access constraints; use subject to the Open Government Licence (OGL) v3.0
Useful for
- Use cases llm-inferred
- Screen development red-line boundaries for overlap with SSSI units in planning and EIA scoping · Add designated-site context to ecological baseline and BNG habitat assessments · Check drainage or outfall routes for proximity to SSSI units in GIS overlays
- Audience llm-inferred
- ecologists · planners · environmental consultants · GIS analysts · EIA practitioners
Limitations
- Constraints llm-inferred
- Boundaries are generally, not uniformly, mapped against OS MasterMap · Updated as needed, so no fixed refresh schedule · Attribution statement contains an unfilled '[year]' placeholder that must be completed when citing · Area ranges from 0.004 ha to 18,000 ha, so very small units may need care in overlay analysis
Englandhealthy
datasetGovernment / regulator57/100Currency E
Statutory Main Rivers Map is a spatial (polyline) dataset that defines statutory watercourses in England designated as Main Rivers by the Environment Agency. Watercourses designated as ‘main river’ are generally the larger arterial watercourses. The Environment Agency has permissive powers, but not a duty, to carry out maintenance, improvement or construction work on designated main rivers. All other open water courses in England are determined by statute as an ‘ordinary watercourse’. On these w
What's in it
- Data offered docs-verified
- statutory Main River watercourse lines (polyline) in England
- Coverage docs-verified
- England
- Update frequency docs-verified
- irregular
- Formats docs-verified
- Shapefile · GeoJSON · GeoPackage · File Geodatabase · OGC API - Features · WFS · WMS
- Access docs-verified
- Free and open; no public access constraints; Open Government Licence
Useful for
- Use cases llm-inferred
- FRA screening: check whether a site or reach lies on a designated Main River before scoping flood risk assessments · Identify whether the Environment Agency or the LLFA/Internal Drainage Board holds maintenance powers for a watercourse before scoping site works or consents · Map Main River reaches as a GIS constraint layer for drainage strategy and outfall siting
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · planners · GIS analysts · civils engineers
Limitations
- Constraints llm-inferred
- Covers only statutory Main Rivers; other watercourses are ordinary watercourses and are not included · Designation does not imply a maintenance duty: the Environment Agency has permissive powers, not a duty · Update frequency is irregular, so check the Updated date before relying on it · Creation reference date is 2005-01-01, so geometry may not reflect recent changes
Englandhealthy
datasetGovernment / regulator57/100Currency E
This is a polygon dataset showing Water Framework Directive (WFD) Groundwater Bodies. It shows major groundwater bodies (aquifers). This dataset provides attribution relating to the 2025 classification results, as well as other relevant information and data about each groundwater body. Article 2, clause 2 of the WFD defines groundwater bodies as '…all water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil'. For the purposes of repor
What's in it
- Data offered docs-verified
- WFD groundwater body polygons (major aquifers) · 2025 WFD classification results and attributes per groundwater body · Quantitative class per groundwater body (via layer file)
- Coverage llm-inferred
- England · 2025 classification results (WFD Cycle 4)
- Resolution docs-verified
- Primary input at 1:625K scale; geometry simplified for web mapping
- Update frequency docs-verified
- As needed (no fixed schedule)
- Formats docs-verified
- GeoPackage · Shapefile · GeoJSON · File Geodatabase · CSV · OGC API - Features · WFS · WMS · ArcGIS layer file (.lyrx)
- Access docs-verified
- Free and open under the Open Government Licence v3.0; no public access constraints
Useful for
- Use cases llm-inferred
- WFD groundwater status baseline for site-based environmental assessments · Aquifer type and quantitative class screening for dewatering or abstraction risk · Groundwater constraints overlay for drainage and SuDS infiltration screening
- Audience llm-inferred
- hydrogeologists · environmental consultants · GIS analysts · planners · civils and drainage engineers
Limitations
- Constraints llm-inferred
- Geometry is simplified for web mapping; full-resolution version is a separate dataset · Shapefile format has documented limitations · Classification applies to WFD Cycle 4 only · Some localised boundaries use 1:50K solid geology rather than the 1:625K base
Englandhealthy
data api56.7/100Currency E
This dataset contains the [Sentinel-2 Level 3 Quarterly Cloudless Mosaics](https://documentation.dataspace.copernicus.eu/Data/SentinelMissions/Sentinel2.html#sentinel-2-level-3-quarterly-mosaics) from [CDSE](https://dataspace.copernicus.eu/) rehosted by Taylor Geospatial.
What's in it
- Data offered docs-verified
- Quarterly cloud-free Sentinel-2 surface reflectance mosaic (int16, scale 0.0001) · Bands: B02 Blue, B03 Green, B04 Red, B08 NIR
- Coverage llm-inferred
- Global (per upstream product name; ENTRY lists Europe) · 2017 Q1 to 2025 Q4 (36 quarters)
- Resolution docs-verified
- 10 m spatial; one composite per quarter
- Update frequency llm-inferred
- Quarterly composites; 2026 Q1 and Q2 are staged in the bucket but not yet catalogued
- Formats docs-verified
- COG (Cloud-Optimized GeoTIFF, DEFLATE) · STAC catalog · Parquet manifests
- Access docs-verified
- Free and open, anonymous HTTPS/S3 with no API key or account; licence: Copernicus Sentinel data Legal Notice (free, full and open use including commercial use and redistribution; attribute as 'Copernicus Sentinel data 2017–2025')
Useful for
- Use cases llm-inferred
- Multi-year (2017–2025) land-cover and vegetation change context for ecological or planning baselines · NDVI from B04 and B08 for habitat or greenness baseline mapping · Windowed reads of tiles via /vsicurl for GIS basemaps without bulk download · Pre- and post-event vegetation or surface comparison for drainage or flood study context
- Audience llm-inferred
- GIS analysts · ecologists · planners · hydrologists · civils engineers
Limitations
- Constraints llm-inferred
- Values are int16 scaled by 10000 and the scale factor is not stored in the files; multiply by 0.0001 · Pixels with no valid observation are nodata (-32768) · Full dataset is about 607.5 TB across 1,017,575 tiles; use windowed reads · Upstream reprocesses old quarters, so finished quarters are snapshots · 2026 Q1 and Q2 are in the bucket but not in the catalog; filter year <= 2025 for catalogued quarters · Copy omits upstream observations.tif, userdata.json and the zipped Product asset · Derived products must state they contain modified Copernicus Sentinel data · Third-party mirror hosted by Taylor Geospatial on Source Cooperative; ongoing maintenance not guaranteed
Europepage reachable
datasetGovernment / regulator56.5/100Currency E
This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire Un
What's in it
- Data offered docs-verified
- land cover dominant aggregate class (1 km raster) · JNCC Broad Habitats-based land cover classes
- Coverage docs-verified
- Great Britain · 2005-09-02 to 2008-07-18
- Resolution docs-verified
- 1000 m (1 km) raster, OSGB 1936 / British National Grid
- Formats docs-verified
- TIFF
- Access docs-verified
- Zip download of whole dataset and WMS access via NERC EIDC; Non-Open Government Licence (ENTRY metadata); terms and conditions apply; citation required
Useful for
- Use cases llm-inferred
- Broad habitat baseline for ecological appraisal of a site or study area · Land cover context for flood risk or drainage assessments (e.g. rural vs urban cover) · Screening-level BNG habitat baseline for large areas before parcel-level survey
- Audience llm-inferred
- ecologists · planners · GIS analysts · hydrologists · flood consultants
Limitations
- Constraints llm-inferred
- 2005–2008 imagery: land cover may be outdated · 1 km dominant-class aggregation hides finer parcel-level detail · Non-Open Government Licence; terms and conditions apply · Citation required in publications
United Kingdomhealthy
Search and explore the Registry of Open Data on AWS — 1,000+ public S3 datasets incl. satellite imagery, climate & weather: tag/org/licence search, STAC-endpoint discovery, bucket preview and file sampling
What's in it
- Data offered llm-inferred
- public S3 dataset registry search and metadata · 1,000+ public datasets · satellite imagery datasets · climate and weather datasets · STAC endpoint discovery · bucket preview and file sampling
- Coverage llm-inferred
- Global
- Formats docs-verified
- MCP stdio
- Access docs-verified
- Open source under Apache-2.0 licence; no authentication required (per entry)
Useful for
- Use cases llm-inferred
- Locate satellite imagery or climate/weather S3 datasets to support a flood-risk or drainage study · Discover open geospatial STAC endpoints for BNG habitat baseline mapping · Find public rainfall or environmental datasets on AWS as inputs to a drainage strategy
- Audience llm-inferred
- GIS analysts · hydrologists · ecologists · flood consultants
Limitations
- Constraints docs-verified
- Repo is still maintained, but AWS recommends Agent Toolkit for AWS for production work; useful projects may move there over time · MCP servers in this repository are designed for stdio transport only
Some details auto-extracted · unverified
Globalhealthy
datasetGovernment / regulator55.9/100Currency E
The Water and Ice Cover by Sentinel-1 and Sentinel-2 (WIC S1+S2) product is generated in near real-time at European scale. It results from the combination of WIC S1 and WIC S2 which are respectively water and ice cover data based on synthetic aperture radar data from the Sentinel-1 constellation and on optical satellite data from the Sentinel-2 constellation. The product provides the river and lake area covered by snow-covered or snow-free ice with a spatial resolution of 20 m x 20 m.
What's in it
- Data offered docs-verified
- river and lake water extent (open water) · river and lake ice cover (snow-covered or snow-free) · water/ice classification raster (WIC) · quality layer (WIC-QA) · pixel quality flags (QAFLAGS)
- Coverage docs-verified
- Europe (bbox approx. -32,27 to 46,72 lon/lat; includes the UK) · 2016-08-01 to present (open-ended)
- Resolution docs-verified
- 20 m x 20 m (spatial); daily temporal per title
- Update frequency docs-verified
- Near real-time, daily (product timeliness PT12H)
- Formats docs-verified
- GeoTIFF (cloud-optimized) · ZIP (zipped product archive) · XML (product metadata) · STAC 1.1.0 catalogue
- Access docs-verified
- Licence 'other': Copernicus Land Monitoring Service legal notice (https://land.copernicus.eu/en/data-policy). No auth in entry. creodias-s3 storage is requester-pays; cdse-s3 is not.
Useful for
- Use cases llm-inferred
- Flood risk: compare observed river and lake water extent against modelled flood extents for calibration or validation · Hydrometric QA: flag river and lake ice-cover periods that may affect gauge records · Ecology and BNG: map lake and river surface extent for waterbody habitat baselines · Event checks: use Sentinel-1 radar-derived water extent when cloud blocks optical imagery
- Audience llm-inferred
- flood consultants · hydrologists · GIS analysts · ecologists
Limitations
- Constraints llm-inferred
- Entry name and docs title say 'raster 60 m' but the description gives 20 m x 20 m; confirm the resolution before use · Licence is 'other' (CLMS legal notice); check reuse terms for commercial consultancy work · creodias-s3 storage is requester-pays, which may add cost · Optical pixels can be obscured by cloud or shadow; radar pixels have geometric-distortion classes; use the QA layers to filter · Provides surface water and ice extent only, with no depth, level or flow values · Data is tiled across UTM zones (EPSG:32625 to 32638), so mosaicking is needed for regional work · Near-real-time product at processing version v1.0; values may be revised, which is inferred rather than stated · Not an API or MCP tool; access is by raster/STAC download from S3-compatible storage
Europehealthy
data apiGovernment / regulator55.8/100Currency E
The hydrogeological map indicates aquifer potential in generalised terms using a threefold division of geological formations: those in which intergranular flow in the saturated zone is dominant, those in which flow is controlled by fissures or discontinuities and less permeable formations including aquifers concealed at depth beneath covering layers. Highly productive aquifers are distinguished from those that are only of local importance or have no significant groundwater. Within each of these
What's in it
- Data offered docs-verified
- aquifer potential (generalised hydrogeological map: intergranular, fissure/discontinuity and less permeable classes; productive vs local vs no significant groundwater)
- Coverage docs-verified
- UK bounding box: 49.77° to 60.86° N, 8.65° W to 1.78° E
- Resolution docs-verified
- 1:625,000 scale (regional/national guide only)
- Update frequency docs-verified
- monthly
- Formats docs-verified
- WMS
- Access docs-verified
- No authentication listed in catalogue entry. Licence restricted: NERC copyright; reproduction or transmission requires prior permission from BGS IPR Manager.
Useful for
- Use cases llm-inferred
- Regional aquifer context map for groundwater screening in FRA or desk-study scoping · Hydrogeological setting overlay in GIS for early-stage site investigation planning · National or regional groundwater vulnerability context for civils and environmental report baselines
- Audience llm-inferred
- hydrogeologists · geotechnical engineers · environmental consultants · GIS analysts · planners
Limitations
- Constraints docs-verified
- 1:625,000 scale: not suitable for local information · Copyright restricted; reproduction requires BGS permission · No warranty on accuracy or suitability; use at customer's own risk · Dataset reference (creation) date is 2012-07-11
United Kingdompage reachable
dataset55.7/100Currency E
The United Kingdom Composite, Surface Rain Rate Estimate is an international radar composite produced by Met Office (UK). This is a composite, radar reflectivity derived, surface rain rate estimate product in HDF5 code from stations covering the United Kingdom.
What's in it
- Data offered docs-verified
- surface rain rate estimate (radar composite, derived from radar reflectivity)
- Coverage docs-verified
- United Kingdom · 2-year rolling archive
- Resolution docs-verified
- 15-minute temporal cadence; spatial resolution not stated
- Update frequency docs-verified
- Four images per hour (every 15 minutes); available within 20 minutes of validity time
- Formats docs-verified
- HDF5
- Access docs-verified
- Open data on AWS S3 (eu-west-2), anonymous access with no AWS account needed; licence: British Crown copyright 2024-2025, the Met Office, licensed under CC BY-SA
Useful for
- Use cases llm-inferred
- Storm event rainfall reconstruction for flood risk assessment (FRA) and calibration of hydrological models · Recent-storm rainfall context for drainage strategy checks and sewer performance review · Spatial rainfall mapping for site-specific water and environmental baseline reporting
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · GIS analysts
Limitations
- Constraints llm-inferred
- Rolling 2-year archive only, so not a long-term rainfall record · Rain rate is radar-derived, not gauge-verified · Spatial resolution is not stated in the docs · Non-operational service: support enquiries answered within 3-5 business days · Service desk available Mon-Fri 09:00-17:00 UTC only
United Kingdomhealthy
data apiGovernment / regulator55.7/100Currency E
This dataset contains national scale maps on several characteristics of soils and landscapes across Great Britain, circa 2020. Key soil parent material categories featured here include texture, drainage, depth, organic matter and calcium carbonate contents. Terrain information includes landform classes, topographic wetness index, and indices of valley bottom flatness and ridge top flatness. Our maps were derived from components of the BGS's Depth to Groundwater and Parent Material Models, digita
What's in it
- Data offered docs-verified
- soil parent material texture · soil drainage · soil depth · soil organic matter · soil calcium carbonate content · landform classes · topographic wetness index · valley bottom flatness index · ridge top flatness index · 13 soil natural capital units
- Coverage docs-verified
- Great Britain (England, Scotland and Wales; Northern Ireland excluded) · 2020-01-01 to 2020-12-31
- Resolution docs-verified
- 50 m raster (50 x 50 m grid, OSGB 1936 / British National Grid)
- Formats docs-verified
- TIFF
- Access docs-verified
- Download (zip package of whole dataset); Non-Commercial Government Licence v2; no API key or authentication stated
Useful for
- Use cases llm-inferred
- Catchment-scale soil drainage and parent material screening for flood risk or SuDS feasibility · Soil natural capital baseline for ecological or land-use assessments at whole-field to national scale · Topographic wetness index and landform inputs for hydrological screening across river catchments
- Audience llm-inferred
- hydrologists · flood consultants · drainage engineers · ecologists · GIS analysts · geotechnical engineers
Limitations
- Constraints docs-verified
- Non-Commercial Government Licence restricts commercial use; confirm licence position before using in paid consultancy deliverables · 1 km smoothing blurs detail; not suitable for sub-field scales (docs advise whole-field or larger domains) · Northern Ireland excluded from the dataset · Agreement with reference maps: 63% (drainage vs HOST), 53% (texture), 72% (physico-chemical) · Snapshot representative of 2020; texture, depth, calcium carbonate and drainage reflect longer-term conditions
United Kingdompage reachable
datasetGovernment / regulator55.5/100Currency E
This is a polyline dataset showing Water Framework Directive (WFD) River, Canal, and Surface Water Transfer Water Bodies. River centrelines represent the official river water body definition for the WFD. This dataset provides attribution relating to the 2025 classification results, as well as other relevant information and data about each river, canal, and surface water transfer water body. See the Environment Agency's Water Hub for more information (link below). Attribution statement: © Environ
What's in it
- Data offered docs-verified
- river water body centrelines (polyline) · canal water bodies · surface water transfer (SWT) water bodies · 2025 WFD classification attribution · related water body information
- Coverage docs-verified
- Bounding box 49.86°N to 55.81°N, 6.42°W to 1.76°E · 2025 classification results (WFD Cycle 4)
- Update frequency docs-verified
- as needed (no fixed schedule)
- Formats docs-verified
- SHP · GeoJSON · GPKG · GDB · CSV · OGC API - Features · WMS · WFS
- Access docs-verified
- Free and open under Open Government Licence v3.0; no public access constraints
Useful for
- Use cases llm-inferred
- WFD waterbody status context for a flood risk assessment or drainage baseline on a river reach · Identifying the WFD water body and 2025 classification for a watercourse near a development site · Screening canal and surface water transfer water bodies for discharge or abstraction consent work · Overlaying WFD water body centrelines on GIS basemaps for ecology and planning reports
- Audience llm-inferred
- flood consultants · drainage engineers · hydrologists · ecologists · planners · GIS analysts
Limitations
- Constraints llm-inferred
- Title says 'Simplified', so geometry is likely generalised; check the full dataset where precision matters · Update frequency is as needed, so currency depends on publisher releases · Classification detail and methodology sit in the Water Hub and accompanying DOCX, not in the polyline attributes · Use is subject to the licence and attribution statement
Englandhealthy
PermitAI NEPA MCP Toolkit: MCP servers for federal environmental data, regulatory research, and geospatial screening to support permitting workflows.
What's in it
- Data offered docs-verified
- National Flood Hazard Layer flood zones, levees, and water areas · ESA-listed salmon and steelhead ranges by HUC-12 watershed · SSURGO soil map units and farmland classifications · ACS 5-Year socioeconomic indicators · EPA Air Quality System monitoring data · IPaC species, critical habitat, migratory birds, wetlands
- Coverage llm-inferred
- United States only (federal and some nonfederal sources); no UK coverage stated
- Formats docs-verified
- GeoJSON · HTML
- Access docs-verified
- No credentials needed for 20 servers; census requires CENSUS_API_KEY; epa_aqs requires EPA_AQS_EMAIL and EPA_AQS_API_KEY; BSD-3-Clause licence
Useful for
- Use cases llm-inferred
- Flood-zone constraint screening for a project area using fema_nfhl · Soil and farmland siting indicators for drainage or SuDS options using nrcs_soils · Species and critical-habitat screening for early ecological constraints using ipac · Composite constraints map of a project area for early site appraisal using map_composer
- Audience llm-inferred
- GIS analysts · flood consultants · ecologists · planners · civils and BIM engineers
Limitations
- Constraints docs-verified
- Screening and research aid only; does not make legal or agency determinations or replace agency or Tribal consultation · Does not guarantee that upstream datasets are complete or current · map_composer queries public GIS services at request time, so results depend on those services being available · census and epa_aqs return no data until their credentials are set
Example tool calls docs-verified
Retrieve IPaC species and critical-habitat records for early ecological constraints
{
"tool": "ipac",
"arguments": {
"roi": "<project-area geometry; parameter name not stated in DOCS>"
}
}Some details auto-extracted · unverified
United Stateshealthy
dataset55.5/100Currency E
Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The Integrated Multi-satellitE Retrievals for GPM (IMERG) IMERG is a NASA product estimating global surface precipitation rates at a high resolution of 0.1° every half-hour beginning 2000. It is part of the joint NASA-JAXA Global Precipitation Measurement (GPM) mission, using the GPM Core Observatory satellite as the standard to combine precipitation observations
What's in it
- Data offered docs-verified
- daily mean precipitation rate (mm/day), combined microwave-IR-gauge ('precipitation') · microwave-only daily precipitation rate ('MWprecipitation') · daily valid-sample counts ('precipitation_cnt', 'MWprecipitation_cnt') · daily precipitation random error estimate (mm/day)
- Coverage docs-verified
- Global · 1998-01-01 to ongoing
- Resolution docs-verified
- Spatial: 0.1 degree x 0.1 degree grid (per product title; docs body says 10 x 10 km). Temporal: daily.
- Update frequency docs-verified
- Monthly batch delivery of the half-hourly input; the Final Daily product follows with up to 4 months' latency plus about 24 hours.
- Formats docs-verified
- NetCDF · OPeNDAP · AWS S3 bucket
- Access docs-verified
- Controlled access: AWS credentials are required to retrieve the data, per the docs. Licence: Creative Commons BY 4.0. Entry metadata lists auth as null.
Useful for
- Use cases llm-inferred
- Long-term daily rainfall baseline for FRA catchments where local gauges are sparse or short · Multi-year daily precipitation series as water balance or drainage strategy inputs, checked against local gauge records · Regional wet-day and seasonal rainfall context for environmental impact assessments
- Audience llm-inferred
- hydrologists · flood consultants · drainage engineers · environmental consultants · GIS analysts
Limitations
- Constraints docs-verified
- Daily product latency is months, not near-real-time: monthly batch delivery with up to 4 months' latency plus about 24 hours. · Satellite precipitation estimates are expected to have lower skill over frozen surfaces, complex terrain, and coastal zones. · The changing GPM satellite constellation may introduce artifacts that affect multi-year change studies. · Daily rates for the microwave-only variable depend on the valid-sample counts, which must be checked for significance. · Access requires AWS credentials, although the entry metadata lists auth as null. · The docs describe the grid as 10 x 10 km, while the product title says 0.1 degree x 0.1 degree, and the IMERG product is described as beginning in 2000 while the dataset range starts 1998-01-01.
Globalhealthy