1Identify Tea Plantations Using Multidimensional Features Based on Multisource Remote Sensing Data: A Case Study of the Northwest Mountainous Area of Hubei Province

作者： Xiao, Pengnan; Qian, Jianping; Yu, Qiangyi; Lin, Xintao; Xu, Jie; Liu, Yujie; SCI

机构： Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arable Land China, Key Lab Agr Remote Sensing AGRIRS,Minist Agr & Rur, Beijing 100081, Peoples R China; Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China; Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China;

来源：REMOTE SENSING

关键词： Google Earth Engine; tea plantation; Sentinel-1; Sentinel-2; feature selection

年份：2025