机译:来自Sentinel-2遥感图像的作物生物物理参数的检索
Univ Technol Sydney Fac Sci Sydney NSW 2007 Australia;
Univ Southampton Sch Geog &
Environm Sci Southampton SO17 1BJ Hants England;
Univ Technol Sydney Fac Sci Sydney NSW 2007 Australia;
Shandong Normal Univ Coll Geog &
Environm Jinan 250358 Shandong Peoples R China;
Southwest Jiaotong Univ Fac Geosci &
Environm Engn Chengdu 610031 Sichuan Peoples R China;
Northeast Normal Univ Sch Geog Sci Changchun 130024 Jilin Peoples R China;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China;
Univ Technol Sydney Fac Sci Sydney NSW 2007 Australia;
Univ Southampton Sch Geog &
Environm Sci Southampton SO17 1BJ Hants England;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China;
Chinese Acad Sci Inst Remote Sensing &
Digital Earth Key Lab Digital Earth Sci Beijing 100094 Peoples R China;
Leaf area index; Chlorophyll content; Artificial neural network; Look-up table; Vegetation index;
机译:来自Sentinel-2遥感图像的作物生物物理参数的检索
机译:具有气象数据的Sentinel-2图像利用遥感和GIS进行了小麦作物的证明生产
机译:Sentinel-2卫星任务背景下的草地生物物理参数遥感
机译:用高斯过程估算远程感测图像的生物物理参数
机译:利用遥感从作物生物物理参数估算玉米单产
机译:通过使用遥感蒸散量和生物物理参数进行空间显式校准可提高水文模型的可预测性
机译:利用植被指数约束的高分辨率遥感影像同时反演反演生物物理植被参数