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《Science of Surveying and Mapping》 2016-08
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Research progress of hyperspectral remote sensing monitoring of vegetation biomass assessment

YAO Kuo;GUO Xudong;NAN Ying;LI Kun;JIANG Shufang;SUN Tingting;Key Laboratory of Land Use,Ministry of Land and Resources,China Land Surveying and Planning Institute;Department of Geography,College of Sciences,Yanbian University;Department of Mathematics,College of Sciences,Yanbian University;  
The study of vegetation biomass plays an important role to understand the carbon cycle of terrestrial ecosystem.In recent years,as the rapid development of hyperspectral remote sensing technology,it has been shown how hyperspectral data can provide significant improvements in extracting the relationship between spectral information and the characterization of the earth's surface.In order to take the advantages of hyperspectral remote sensing technology in estimating vegetation biomass for the future researches exactly,this paper reviewed the advances in researches on hyperspectral remote sensing technology in retrieval of vegetation biomass at home and abroad.At first,the data resource of hyperspectral remote sensing was introduced.Subsequently,the characteristics and applications of retrieval methods were discussed in detail.Moreover,the progress of hyperspectral remote sensing technology over multispectral remote sensing technology in vegetation biomass estimation was described.At last,this paper pointed out it should be enhance the research on the development of the retrieval modeling,the fusion of multi-source remote sensing data and the transferability of modeling,in purpose to estimate the vegetation biomass on up-scaling regional domains precisely.
【Fund】: 国家自然科学基金项目(41271200)
【CateGory Index】: Q948;P237
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