Focuses on the convergence of Foundation Models (LVMs) and PINNs with multi-sensor fusion to address global food security. This issue explores digital twins, carbon farming, and the retrieval of critical biophysical traits using advanced fusion techniques.
Dedicated to the fundamental physics of remote sensing. We invite research on Radiative Transfer Models (RTM), BRDF, Geometric Optics, and the rigorous validation of radiation budgets. This issue emphasizes the physical consistency of retrievals over purely data-driven approaches.
Explores the cutting edge of algorithmic innovation in vegetation monitoring. We are looking for submissions utilizing Generative AI (GANs), Reinforcement Learning, Explainable AI (XAI), and Deep Learning for large-scale classification and crop health monitoring.
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