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MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4

Data from the Moderate Resolution Imaging Spectroradiometer (MODIS), managed by the U.S. Geological Survey and NASA. Five products are included: MCD43A4 (MODIS/Terra and Aqua Nadir BRDF-Adjusted Reflectance Daily L3 Global 500 m SIN Grid), MOD11A1 (MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid), MYD11A1 (MODIS/Aqua Land Surface Temperature/Emissivity Daily L3 Global 1 km SIN Grid), MOD13A1 (MODIS/Terra Vegetation Indices 16-Day L3 Global 500 m SIN Grid), and MYD13

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Source details

Licence: There are no restrictions on the use of data, unless expressly identified prior to or at the time of receipt.

Evidence quality: 42.9

Listed in aws-odr 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
MCD43A4 nadir BRDF-adjusted daily surface reflectance, 500 m · MOD11A1 / MYD11A1 daily land surface temperature and emissivity, 1 km · MOD13A1 / MYD13A1 16-day vegetation indices, 500 m
Coverage docs-verified
Global · MCD43A4 ~21 years (all time); MOD11A1, MYD11A1, MOD13A1, MYD13A1 ~11 years
Resolution docs-verified
Spatial: 500 m for MCD43A4, MOD13A1, MYD13A1; 1 km for MOD11A1, MYD11A1 (SIN grid). Temporal: daily for reflectance and LST; 16-day for vegetation indices
Update frequency docs-verified
Daily (new scenes added daily)
Formats docs-verified
COG (single-band cloud-optimized GeoTIFF)
Access docs-verified
Open licence: no restrictions on use unless expressly identified at or before receipt. No API key or auth in the entry. Data is in an AWS S3 bucket (astraea-opendata, us-west-2) that is Requester Pays, so an AWS account is needed to download

Useful for

Use cases llm-inferred
Vegetation greenness (NDVI/EVI) baseline and seasonal trend for ecological condition context, e.g. BNG habitat baseline support · Land surface temperature context for urban heat or drainage-catchment screening assessments · Multi-year surface reflectance time series for land-cover change baselining on catchment or regional scales
Audience llm-inferred
ecologists · GIS analysts · hydrologists · environmental consultants · remote sensing analysts

Limitations

Constraints llm-inferred
1 km LST and 500 m reflectance/vegetation grids are too coarse for site-scale assessment · Most products cover ~11 years, so long-term baselines need MCD43A4 (~21 years) · Requester Pays S3 bucket requires an AWS account and incurs access charges · No MCP or API tooling listed; data must be pulled from S3 and processed by the user

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.