1Quantifying key vegetation parameters from Sentinel-3 and MODIS over the eastern Eurasian steppe with a Bayesian geostatistical model

作者： Li, Zhenwang; Liu, Tao; Sun, Chengming; Li, Zhenwang; Liu, Tao; Sun, Chengming; Ding, Lei; Shen, Beibei; Xu, Dawei; Wang, Xu; Xin, Xiaoping; Chen, Jiquan; Fang, Wei; Pulatov, Alim; Kussainova, Maira; Amarjargal, Amartuvshin; Isaev, Erkin; SCI

机构： Yangzhou Univ, Agr Coll, Jiangsu Key Lab Crop Genet & Physiol, Jiangsu Key Lab Crop Cultivat & Physiol, Yangzhou 225009, Peoples R China; Yangzhou Univ, Jiangsu Coinnovat Ctr Modern Prod Technol Grain Cr, Yangzhou 225009, Peoples R China; Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China; Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China; Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA; Pace Univ, Dept Biol, New York, NY 10038 USA; Natl Res Univ, Tashkent Inst Irrigat & Agr Mechanizat Engineers N, EcoGIS Ctr, Tashkent 100000, Uzbekistan; Kazakh Natl Agrarian Res Univ, Sustainable Agr Ctr, Alma Ata 050010, Kazakhstan; Univ Humanities, Ulaanbaatar, Mongolia; Univ Cent Asia, Mt Soc Res Inst, Bishkek 720001, Kyrgyzstan;

来源：SCIENCE OF THE TOTAL ENVIRONMENT

关键词： Biophysical parameter; Remote sensing; Bayesian modeling; Sentinel-3; MODIS; Grassland

年份：2024