dataset · Global
Dynamic World V1
Dynamic World is a 10m near-real-time (NRT) Land Use/Land Cover (LULC) dataset that includes class probabilities and label information for nine classes. Dynamic World predictions are available for the Sentinel-2 L1C collection from 2015-06-27 to present. The revisit frequency of Sentinel-2 is between 2-5 days depending on latitude. Dynamic World predictions are generated for Sentinel-2 L1C images with CLOUDY_PIXEL_PERCENTAGE <= 35%. Predictions are masked to remove clouds and cloud shadows using
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Licence: CC-BY-4.0
Evidence quality: 43.7
Listed in gee public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Data offered docs-verified
- Land Use/Land Cover (LULC) class labels, 9 classes · Per-class probability bands (water, trees, grass, flooded_vegetation, crops, shrub_and_scrub, built, bare, snow_and_ice) · Near-real-time 10 m LULC from Sentinel-2 L1C
- Coverage docs-verified
- Global · 2015-06-27 to present
- Resolution docs-verified
- 10 m spatial (all bands)
- Update frequency docs-verified
- Near-real-time (NRT); specific latency or cadence not stated
- Formats docs-verified
- Earth Engine ImageCollection
- Access docs-verified
- Google Earth Engine registration required; Earth Engine free for research, education and nonprofit use; dataset licence CC-BY-4.0 with attribution
Useful for
- Use cases llm-inferred
- Built-up (impermeable) fraction screening for runoff coefficient inputs across a catchment · Broad-scale LULC context for FRA catchment characterisation (trees, grass, water, flooded vegetation) · BNG habitat baseline pre-screening of grass, trees and shrub cover before field survey · Multi-year screening of water and flooded_vegetation probability for flood-extent context
- Audience llm-inferred
- GIS analysts · ecologists · hydrologists · flood consultants · drainage engineers · planners
Limitations
- Constraints llm-inferred
- Top-1 probabilities can be low for crops and other cover defined over time, and for arid, sand or sunglint surfaces; threshold before use · Predictions only for Sentinel-2 L1C images with cloud cover of 35% or less, so some dates have no output · Free use is stated only for research, education and nonprofit; commercial consultancy licensing terms are not stated in the docs · Requires Earth Engine access and a JavaScript or Python environment; no direct file download is documented
Evidence
- ee.ImageCollection('GOOGLE/DYNAMICWORLD/V1')
- https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.