Google Earth Engine
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.
by European Commission Joint Research Centre
The EC Joint Research Centre's Global Surface Water dataset classifies every 30m Landsat pixel on Earth's surface, monthly, back to 1984, into water/non-water — then rolls that up into occurrence, change, seasonality and recurrence layers spanning four decades. It is one of the most-cited remote-sensing water products in existence, and freely browsable and downloadable with no registration.
For anything asking "how has this reservoir, lake or floodplain's water extent changed" — dam-safety monitoring, reservoir sedimentation screening, wetland assessment — this is the dataset to start with, and it's built directly into the Global Surface Water Explorer and Google Earth Engine.
The satellite and reanalysis datasets H&H engineers actually reach for — DEM to GRACE.
Ranked by the topics, categories and workflow stages they share with JRC Global Surface Water.
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
Python + Google Earth Engine without the pain — interactive mapping and analysis of petabyte-scale water data.
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.
Free 10-20m multispectral imagery, 5-day revisit — the imagery backbone under WorldCover and Dynamic World.
QGIS plugin for exploring mesh model results — animate TUFLOW, Telemac and HEC-RAS 2D outputs in the GIS.