Efficient soil moisture estimation on the Qinghai-Xizang Plateau via machine learning and optimized feature selection
Efficient soil moisture estimation on the Qinghai-Xizang Plateau via machine learning and optimized feature selection
摘要
关键词
soil moisture/machine learning/feature selection/radar and optical remote sensing/polarization decomposition/CatBoost model/Qinghai-Xizang PlateauKey words
soil moisture/machine learning/feature selection/radar and optical remote sensing/polarization decomposition/CatBoost model/Qinghai-Xizang Plateau引用本文复制引用
JIA Shichao,SUN Wen,WEI Sihao,SUN Rui..Efficient soil moisture estimation on the Qinghai-Xizang Plateau via machine learning and optimized feature selection[J].干旱区科学,2025,17(8):1147-1167,21.基金项目
This work was supported by the Scientific Research Foundation for High-level Talents of Anhui University of Science and Technology(13230550),the Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring,Anhui University of Science and Technology(KSXTJC202305),the State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology(SKLGED2023-5-1),and the China Postdoctoral Science Foundation(2023M733604).We thank Mr.WANG Kun,Mr.FAN Chengyan,and Mr.CHU Hongyi for their help in the field.We gratefully acknowledge the European Space Agency(https://scihub.copernicus.eu/)and the United States Geological Survey(https://lpdaac.usgs.gov/products/nasadem_hgtv001/)for providing remote sensing imagery used in this study.Additional thanks are extended to LocaSpace Viewer(www.tuxingis.com)for image support.We thank all the anonymous reviewers and editors for providing helpful comments for this manuscript. （13230550）
