Dubinin, Moshe ， Gitelson, Anatoly ， Osem, Yagil ， Yakir, Dan ， Paz-Kagan, Tarin
2025 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025 63(卷), null(期), (null页)
Vegetation gross primary production (GPP) is mainly influenced by the amount of absorbed photosynthetically active radiation (PAR), making absorption by photosynthetic pigments a key determinant of photosynthetic capacity. This study explores the use of the chlorophyll absorption coefficient derived from Sentinel-2 and VEN mu S satellite data for GPP estimation across three dryland forests in Israel and California between 2017 and 2020. Results indicate high accuracy of GPP estimation using chlorophyll absorption coefficients within the PAR (400-700 nm) and the red-edge (690-740 nm) spectral regions. Sentinel-2-based estimations explained over 91% of GPP variation, while VEN mu S data accounted for more than 95%. Normalized RMSE values were below 22% for Sentinel-2 and 18% for VEN mu S without model recalibration across different sites.