Seasonality dominates changes in lake-surface extent and aligns with human residence
Year: 2025
Type: article
Abstract: The mapping of lake surfaces globally has been constrained by the limitations of single-source satellite data. A spatio-temporal fusion approach now enables high-resolution mapping of more than 1.4 million lakes, revealing seasonality as the main factor driving changes in the spread of lake surfaces, with links between seasonality and human residence. A spatio-temporal fusion of multi-source satellite data has enabled high-resolution mapping of 1.4 million lakes worldwide.
Source: Nature
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: hybrid
Estimated APC paid: $12,690
OpenAlex ID: W4411210028