CHIRPS
Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
18 tools · Topic
Satellites now observe surface water extent, soil moisture, snow, ET and even river discharge. Indexed here are the processing toolkits and access layers that turn those observations into engineering inputs — much of it free through Earth Engine and open archives.
Gauge-blended satellite rainfall at 0.05°, daily, since 1981 — the standard for drainage work in data-sparse regions.
Near-real-time 10m land cover from Google/WRI, updated every Sentinel-2 pass — land cover that keeps up.
Global 10m land cover from Sentinel-1/2 — the highest-resolution free global land cover map available.
NASA's 30-minute, 0.1° global precipitation record — the highest time resolution of any satellite rainfall product.
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
Pixel-level surface water history since 1984, built from the entire Landsat archive — where water has been, and when.
Global actual ET from MODIS, 500m, 8-day/monthly/annual — a Penman-Monteith water-balance term, ready-made.
1km daily/8-day land surface temperature from MODIS — the standard thermal input for energy-balance ET and snowmelt.
500m daily/8-day global snow-cover extent from MODIS — the standard optical snow product for basin-scale tracking.
A STAC API and Jupyter environment over petabytes of satellite data — Sentinel, Landsat, MODIS, ERA5, CHIRPS and more.
The unified search portal across every NASA Earth-observation archive — SRTM, MODIS, SMAP, GPM, GRACE and more.
Free viewer and exporter for NEXRAD radar, satellite and climate data — out to GeoTIFF, Shapefile and NetCDF.
A neural-network satellite rainfall climate data record, daily, 0.25°, purpose-built for long-term trend studies.
NASA's L-band radiometer soil moisture mission — 9km/36km near-surface moisture, daily, since 2015.
USGS operational ET at Landsat resolution — 30m actual evapotranspiration for water-rights and irrigation accounting.
Free 10-20m multispectral imagery, 5-day revisit — the imagery backbone under WorldCover and Dynamic World.
Python + Google Earth Engine without the pain — interactive mapping and analysis of petabyte-scale water data.
The open library for weather-radar rainfall processing — from raw volumes to engineering-ready rainfall fields.