Google Earth Engine
Freemium
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
MODIS NDVI/EVI (MOD13Q1)
Active250m, 16-day global vegetation index composites — the standard input to crop-coefficient ET and drought indices.
by NASA / LP DAAC
- Pricing
- Gov-Public
- License
- US Government (public domain)
- Commercial use
- Permitted
- Ecosystem
- Google Earth Engine, Python
- Platform
- Windows, macOS, Linux
About MODIS NDVI/EVI (MOD13Q1)
MOD13Q1 delivers atmospherically-corrected NDVI and EVI vegetation index composites at 250m resolution every 16 days, globally, from 2000 to present, distributed through LP DAAC. EVI improves on classic NDVI in high-biomass and atmospherically-hazy conditions, which matters for tropical and heavily-vegetated catchments.
Vegetation index time series feed crop-coefficient-based ET estimation, vegetation-drought indices (VCI, VHI) and land-cover classification training data — a quiet workhorse behind a lot of remote-sensing-based water balance work.
Where it fits in the workflow
TerrainCatchmentRainfallRunoffRoutingHydraulicsMappingReporting
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