【摘要】 以内蒙古锡林河流域典型草地为研究样区,基于新一代微卫星CHRIS/PROBA高光谱遥感数据,利用双层冠层反射率模型(A two-layer Canopy Reflectance Model,ACRM)定量反演叶面积指数(LAI)。首先对高光谱数据进行预处理和统计分析,并结合反演结果对角度信息的敏感性进行分析,确定适于该区的最优波段组合和参数,实现了区域尺度的草地叶面积指数定量反演;然后利用该区多年实测数据的统计结果对ACRM模型进行检验,并将反演结果与MODIS的LAI数据进行相互校验分析。结果表明,CHRIS/PROBA数据用于反演稀疏草地的LAI是可行的,且利用多角度信息可以改善稀疏植被覆盖情况下LAI低估问题。本研究可为草地生态系统研究提供更精确的参数,具有一定的实际意义。更多还原

【Abstract】 Based on the CHRIS/PROBA hyperspectral remote sensing data,the authors retrieved the leaf area index(LAI) by A two-layer Canopy Reflectance Model(ACRM).The process consists of three main steps: Firstly,the high-spectral data was preprocessed and statistically analyzed.Secondly,sensitivity of the model to observing directions was analyzed.And finally,the best combinations of bands and parameters for the study area were chosen.The process was used to study the LAI of typical grass plots of Xilin River basin in Inner Mongolia.The results show that the application of CHRIS/PROBA data to the inversion of sparse grassland LAI is practical,and the multi-angle information of CHRIS/PROBA data has the potential advantages in decreasing the extent of LAI underestimation.更多还原