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Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico., , , , , and . Remote Sensing, 10 (8): 1277 (2018)Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems., , , , , , , , , and 8 other author(s). Remote. Sens., 10 (8): 1293 (2018)Deep learning and process understanding for data-driven Earth system science., , , , , , and . Nat., 566 (7743): 195-204 (2019)Double machine learning for causal hybrid modeling - applications in the Earth sciences., , , , and . CoRR, (2024)EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts., , , , and . CoRR, (2020)The imprint of plants on ecosystem functioning: A data-driven approach., , , , , , , , , and 1 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2015)Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks, , , , , and . Frontiers in Big Data, (2019)Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs., , , , , , and . CoRR, (2022)ADVANCING DEEP LEARNING FOR EARTH SCIENCES: FROM HYBRID MODELING TO INTERPRETABILITY., , , and . IGARSS, page 3979-3982. IEEE, (2020)Discovering Differential Equations from Earth Observation Data., , , , , , and . IGARSS, page 3999-4002. IEEE, (2020)