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ReaLSAT, a global dataset of reservoir and lake surface area variations

Reservoir and Lake Surface Area Timeseries (ReaLSAT) dataset provides an unprecedented reconstruction of surface area variations of lakes and reservoirs at a global scale using Earth Observation (EO) data and novel machine learning techniques. The dataset provides monthly scale surface area variations (1984 to 2020) of 681,137 water bodies below 50°N and sizes greater than 0.1 square kilometers.  The dataset contains the following files: 1) ReaLSAT.zip: A shapefile that contains t

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cc-by-4.0
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Last successful page check
16/10/2026
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Provenance & evidence

Listed in zenodo public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)