Advancing Ecosystem Monitoring: Global Annual Maps of Biophysical Vegetation Properties (LAIe, FAPAR, FCOVER) for 2019-2025

Published April 1, 2026 | Version v2

Dataset Open

1. Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zurich, Switzerland
2. Montana State University, Department of Land Resources and Environmental Sciences, Bozeman, MT, United States
3. TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, Montpellier, France
4. Department of Geography, King's College London, London, WC2R 2LS, United Kingdom
5. Swiss Federal Research Institute WSL, Birmensdorf, 8903 Switzerland
6. School of Science, Engineering & Environment, University of Salford, Manchester, M5 4WT, United Kingdom
7. ACRI-ST, F-06904, Sophia-Antipolis, France
8. Plants and Ecosystems (PLECO), Department of Biology, University of Antwerp, B-2610, Wilrijk, Belgium
9. Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia

Standard deviation LAIe predictions for 2023 at 100m resolution. See base deposition for more information: 10.5281/zenodo.19366930

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