Accuracy Comparison of BJ-1, HJ and Landsat Data in the Retrieval of Grassland Vegetation Coverage, Leaf Area Index and above Ground Biomass
WANG Hong-yan1, LI Xiao-song2, ZHANG Jin2, GAO Zhi-hai1*
1. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China 2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing 100094, China
Abstract：Domestic satellites BJ-1, HJ and the most widely used satellite Landsat TM were selected to systematically compare their abilities and differences on the estimation of the biophysical parameters of grassland in sandstorm source region in Beijing and Tianjin, with the combination of field-measured fractional coverage, leaf area index and aboveground biomass data. The result shows: (1) In terms of the surface reflectance, HJ-1B and Landsat TM have a higher correlation with biophysical parameters in red band, compared with BJ-1, while BJ-1’s near infra-red band was obviously superior to HJ-1B and Landsat TM，(2) with respect to the vegetation indices, Landsat TM performed best, HJ-1B was the second, and BJ-1 was the worst, (3) compared with vegetation indices, multiple regression model can raise the estimation accuracy, BJ-1 based model improved significantly, while Landsat TM and HJ-1B based models were less obvious. Among them, the highest accuracy was acquired for leaf area index estimation through the BJ-1 based model (R2=0.61，RMSEP=0.15). In general, domestic satellites have their own unique features, which remain a huge potential to be further tapped.
Key words：Sandstorm source region in Beijing and Tianjin;BJ-1;HJ;Fractional coverage;Leaf area index;Aboveground biomass
王红岩1，李晓松2，张 瑾2，高志海1* . 北京一号，环境星，Landsat TM传感器估算草地覆盖度、叶面积指数、地上生物量比较研究 [J]. 光谱学与光谱分析, 2013, 33(10): 2803-2808.
WANG Hong-yan1, LI Xiao-song2, ZHANG Jin2, GAO Zhi-hai1* . Accuracy Comparison of BJ-1, HJ and Landsat Data in the Retrieval of Grassland Vegetation Coverage, Leaf Area Index and above Ground Biomass . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(10): 2803-2808.
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