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Correlation analysis of the biomass of the Subtropical forest vegetation, LANDSAT TM data And topographical data

机译:亚热带森林植被生物量的相关分析,LANDSAT TM数据和地形数据

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This paper analyzed the correlations among the biomass of the subtropical forest vegetation, LANDSAT TM data and topographical data taking Shimian County of China's in Sichuan Province as an example. Firstly , the biomass for each forest subcompartment was calculated by using the field inventory data, and the biomass GIS database was established according to the forest map. Secondly, the derivative data were derived from the LANDSAT TM images by using principal component analysis, tasseled cap transform and vegetation index analysis and the ratio of bands. Thirdly, the data including LANDSAT TM data and its derivative data, the topographical data such as DEM, aspect and slope were referenced to the same projection and coordination of the biomass GIS database. Fourth, the correlation between the LANDSAT TM and its derived data, topographical data ,Canopy density and the biomass were analyzed. It was shown that the biomass of the tropical forest vegetation was most obviously correlated with TM1, TM2, TM3, TM4, TM5, TM7, DVI, NDVI, RVI, VI3, PVI, SARVI, TSAVI, BRIGHT, GREEN, WET, DEM and Canopy density at 0.01 confident level. The correlations arranged in descend respectively for DEM, TM1,canopy density, NDVI,TSAVI and RVI, which were respectively 0.263,-0.226,0.218,-0.205,-0.203, and -0.198.
机译:以四川省石棉县为例,分析了亚热带森林植被生物量,LANDSAT TM数据和地形数据之间的相关性。首先,利用实地盘点数据计算出每个森林小室的生物量,并根据森林图建立生物量GIS数据库。其次,利用主成分分析,tasseled cap变换和植被指数分析以及谱带比率,从LANDSAT TM图像中获得导数数据。第三,将包括LANDSAT TM数据及其派生数据,DEM,坡度和坡度等地形数据参考到生物质GIS数据库的相同投影和协调。第四,分析了LANDSAT TM与其衍生数据,地形数据,盖层密度和生物量之间的相关性。结果表明,热带森林植被生物量与TM1,TM2,TM3,TM4,TM5,TM7,DVI,NDVI,RVI,VI3,PVI,SARVI,TSAVI,BRIGHT,GREEN,WET,DEM和冠层密度为0.01置信水平。 DEM,TM1,树冠密度,NDVI,TSAVI和RVI的相关性分别降序排列,分别为0.263,-0.226、0.218,-0.205,-0.203和-0.198。

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