机译:近红外区(DANIR)的三角洲面积—一种使用野外高光谱数据估算绿色植被分数的新方法
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Regional Remote Sensing Centre—East, Kolkata, India;
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Regional Remote Sensing Centre—East, Kolkata, India;
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Regional Remote Sensing Centre—East, Kolkata, India;
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Regional Remote Sensing Centre—East, Kolkata, India;
National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Regional Remote Sensing Centre—East, Kolkata, India;
Bidhan Chandra Krishi Viswavidyalaya, Kolkata, India;
National Remote Sensing Centre, Hyderabad, India;
Vegetation mapping; Estimation; Soil; Agriculture; Hyperspectral imaging;
机译:从粗糙分辨率Scatsat-1数据使用城市和植被分数覆盖的土壤水分估计方法
机译:基于室内高光谱数据的植被覆盖度估算-以内蒙古草原草原植被为例
机译:利用场反射和Hyperion / EO-1数据选择高光谱窄带(HNB)和高光谱双谱带植被指数(HVI)进行生物物理表征和作物类型区分
机译:利用无人机和Sentinel-2数据估算植被覆盖度的融合方法的开发
机译:使用加利福尼亚州内华达中部地区的高光谱数据量化干旱诱发的绿色植被分数变化和分类精度
机译:通过整合不同时空分辨率的土壤水分和绿色植被分数数据,改进非静水数值除尘模型
机译:利用Landsat 7 ETm +数据估算干旱区绿色植被覆盖度的估算