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机译:光谱植被指数估算作物叶面积指数的比较分析
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China,Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310029, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China,Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310029, China;
Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China,National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China;
Leaf Area Index; Spectral Vegetation Indices; Soil Background; Leaf Chlorophyll Concentration; Sensitivity Function;
机译:估计水稻氮营养的新反射光谱植被指数II:估计水稻叶氮浓度的最佳反射光谱植被指数
机译:估算水稻氮营养的新反射光谱植被指数I:使用叶片光谱反射率和SPAD值选择最佳植被指数
机译:从高光谱反射测量得出的植被指数分析,以估计油菜的作物冠层参数
机译:评估夏季大麦叶片叶绿素浓度的高光谱植被指数
机译:利用无人机系统(UAS)多光谱数据估算干旱土地棉作物的叶面积指数
机译:通过无人机测量的多光谱植被指数估算的玉米作物系数
机译:叶片叶绿素含量及植物地位远程估计的高光谱植被指数的比较分析