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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:本文分析了四川省中国亚马斯县的亚热带森林植被,土地基于地形数据的生物量的相关性。首先,通过使用现场库存数据计算每个森林子组件的生物量,并根据林地地图建立生物量GIS数据库。其次,通过使用主成分分析,流苏帽变换和植被指数分析和带的比例来源于衍生物数据。第三,数据包括Landsat TM数据及其衍生数据,如DEM,方面和斜率等地形数据被引用到生物量GIS数据库的相同投影和协调。第四,分析了Landsat TM及其推导数据,地形数据,冠层密度和生物质之间的相关性。结果表明,热带森林植被的生物量最明显与TM1,TM2,TM3,TM4,TM5,TM7,DVI,NDVI,RVI,VI3,PVI,Sarvi,Tsavi,明亮,绿色,潮湿,DEM和冠层密度为0.01自信水平。分别在DESCend中排列的相关性,用于DEM,TM1,冠层密度,NDVI,TSAVI和RVI,分别为0.263,-0.226,0.18,-0.205,-0.203和-0.198。

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