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《REMOTE SENSING TECHNOLOGY AND APPLICATION》 1998-01
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A Review of Hyperspectral Remote Sensing in Vegetation Monitoring

FANG Hongliang (Institute of Geography,The Chinese Academy of Sciences and the State Planning Commission,Beijing 100101) TIAN Qingjiu (Institute of Remote Sensing Application, The Chinese Academy of Sciences,Beijing 100101)  
Hyperspectral remote sensing data,compared with wide band remote sensing data,has the advantage of high spectral resolution.Hyperspectral remote sensing information processing involves radiometric calibration,image enhancement,pixel unmixing,spectral matching,and derivative spectral technology,etc. Hyperspectral remote sensing has been used to analyze Normalized Difference Vegetation Index(NDVI),Leaf Area Index(LAI) and Absorbed Photosynthetically Active Radiation(APAR).In vegetation monitoring,it has been used to detect the canopy biochemical characteristics,to analyze the vegetation parameters and to monitor the vegetation growth state.An detailed review on recent works focused on the above several points is given in the paper.Finally,the authors viewpoint on the future development of image spectrometry in vegetation monitoring is stressed.
【CateGory Index】: TP79
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