1A Time-Constrained and Spatially Explicit AI Model for Soil Moisture Inversion Using CYGNSS Data

作者： Yang, Changzhi; Mao, Kebiao; Shi, Jiancheng; Guo, Zhonghua; Bateni, Sayed M.; SCIE（2025版） EI（2025版）

机构： Ningxia Univ, Sch Phys, Yinchuan 750021, Peoples R China; Ningxia Univ, Sch Civil & Hydraul Engn, Yinchuan 750021, Peoples R China; Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agriinformat, Beijing, Peoples R China; Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China; Ningxia Univ, Sch Elect & Elect Engn, Yinchuan 750021, Peoples R China; Univ Hawaii Manoa, Dept Civil & Environm Engn, Honolulu, HI 96822 USA; Univ Hawaii Manoa, Water Resources Res Ctr, Honolulu, HI 96822 USA;

来源：IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

关键词： Data models Satellites Vegetation mapping Soil moisture Reflectivity Monitoring Mathematical models Accuracy Land surface Microwave theory and techniques Cyclone-GNSS (CYGNSS) global navigation satellite system-reflectometry (GNSS-R) soil moisture (SM) soil moisture active passive (SMAP) time-constrained and spatially explicit artificial intelligence (TCSE-AI) model

年份：2025