Google Earth Engine
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
Near-real-time 10m land cover from Google/WRI, updated every Sentinel-2 pass — land cover that keeps up.
by Google / World Resources Institute
Dynamic World, built by Google and the World Resources Institute, runs a deep-learning classifier over every Sentinel-2 image as it is captured to produce 10m, 9-class land cover with a 2-5 day revisit — the first global land cover product updated in near-real-time rather than as an annual or multi-year release. Probabilistic per-pixel outputs let users threshold confidence rather than accept a single hard classification.
Its currency is the differentiator: for rapidly changing catchments — active construction, deforestation, seasonal cropping — Dynamic World tracks land-cover change as it happens, where WorldCover and CCI Land Cover only offer periodic snapshots. Runs natively in Google Earth Engine.
Ranked by the topics, categories and workflow stages they share with Dynamic World.
Planetary-scale geospatial analysis in the cloud — the data catalogue and compute behind modern water remote sensing.
Global 10m land cover from Sentinel-1/2 — the highest-resolution free global land cover map available.
Pixel-level surface water history since 1984, built from the entire Landsat archive — where water has been, and when.
Python + Google Earth Engine without the pain — interactive mapping and analysis of petabyte-scale water data.
A consistent annual global land cover record at 300m from 1992 — long enough to trend land-use change against.
Free 10-20m multispectral imagery, 5-day revisit — the imagery backbone under WorldCover and Dynamic World.