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Abstract: Remote Sensing-based Soil Moisture Estimation in the Irrigation District by Integrating Crop-Specific Differences through a Hybrid Deep Learning-based Approach (AGU25)

Remote Sensing-based Soil Moisture Estimation in the Irrigation District by Integrating Crop-Specific Differences through a Hybrid Deep Learning-based Approach

Shuai Du1, Yuanyuan Zha2, Yuzhe Ji3, Yue Wang2, Xiangsen Xu2, Yuhan Liu2, Meijun Zheng2, Yang Zhang2, Shenshen Wu2 and Tiantian Yang4, (1)Wuhan University; University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (2)Wuhan University, Wuhan, China, (3)Wuhan Univeristy, Wuhan, China, (4)University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science, Norman, United States
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