Integration of Remotely Sensed Images and Electromagnetic Models into a Bayesian Approach for Soil Moisture Content Retrieval: Methodology and Effect of Prior Information
نویسندگان
چکیده
Among these variables, soil moisture (SM) is one of the most requested ones [1]. This envi‐ ronmental variable is considered important to many ecological processes that occur on Earth's surface, from its relationship to climate events to its importance in terms of water availability for agricultural crops. In fact, it is considered an essential climate variable domain for the Global Earth Observation Climate (GCOS) [2]
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