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EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts., , , , and . CoRR, (2020)Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico., , , , , and . Remote. Sens., 10 (8): 1277 (2018)AI for Extreme Event Modeling and Understanding: Methodologies and Challenges., , , , , , , , , and 15 other author(s). CoRR, (2024)Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks, , , , , and . Frontiers in Big Data, (2019)EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task., , , , and . CVPR Workshops, page 1132-1142. Computer Vision Foundation / IEEE, (2021)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)Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations, , , , , , , , , and 14 other author(s). Journal of Geophysical Research: Biogeosciences, (2011)\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2010JG001566.Identifying dynamic memory effects on vegetation state using recurrent neural networks, , , , , and . Frontiers in big Data, (2019)Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks., , , , , and . Frontiers Big Data, (2019)