An Interpretable Deep Learning Framework for Spatial Prediction of Soil Salinity Using Multi-Source Remote Sensing and Environmental Data: A Case Study of Cangzhou, Hebei Province, China
构建融合多源遥感与环境变量的可解释深度学习框架，预测沧州土壤盐分空间分布。
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Develop a methodology for mapping and characterization of salt-affected soils in coastal and inland plains of Gujarat state (India) using remote sensing, field, and laboratory soil studies
Develop a methodology for mapping and characterization of salt-affected soils in coastal and inland plains of Gujarat state (India) using remote sensing, field, and laboratory soil studies。Research Square
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