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Mapping one million small reservoirs in Brazil highlights widespread environmental and policy implications
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Abstract
Small dams and reservoirs disrupt hydrological connectivity and increase evaporative water loss across Brazil, yet most remain unmapped. Applying deep learning to Sentinel satellite data from 2021, we created a comprehensive map of 1.1 million small on-stream reservoirs (smaller than 50 ha). Their 7,597 km^2 cumulative surface area surpasses the combined area of Brazil’s three largest mega-dam impoundments. Especially concentrated in areas with high cattle herd densities and precipitation variability, 78% are found in headwater sub-basins, which are vital for downstream water quality and ecosystem health. The reservoirs lose an extra 4.2 km^3yr^-1 to surface evaporation—equivalent to 29% of total annual urban water use in Brazil. Our findings highlight the overlooked socio-environmental consequences of small reservoirs for land and water management.
DOI
https://doi.org/10.31223/X5Z20S
Subjects
Water Resource Management
Keywords
deep learning, remote sensing, water management
Dates
Published: 2026-08-21 18:26
Last Updated: 2026-08-21 18:26
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
Data Availability:
The complete reservoir dataset is available at: https://doi.org/10.5281/zenodo.14927227. The annotated training data, trained model weights, and manually validated reservoir detections are available at: https://doi.org/10.5281/zenodo.14927196.
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