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首页> 外文会议>Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International >The comparison of the estimation of the biomass of tropical forest vegetation with the different forest vegetation type by using multi-variant liner regression
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The comparison of the estimation of the biomass of tropical forest vegetation with the different forest vegetation type by using multi-variant liner regression

机译：多元线性回归估算不同森林植被类型热带森林植被生物量的比较

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The estimation of the biomass of tropical forest vegetation is very important for global change research. The estimation is explored by using multi-variant linear regression in Xishuangbanna, Yunnan province, P.R. of China. It includes four steps. Firstly, the biomass for each sample is calculated by using the field inventory data of each sample. Secondly, the remote sensing data including Landsat TM data and its derived data, the topographic data such as DEM, slope and aspect, and the climatic data such as temperature and precipitation are referenced to the same projection and coordination. Thirdly, all of the data are stratified as the lithocarpus forest, the other hard broad-leaf forest and the other broad-leaf forest. Finally, The multi-variant regression analysis is used to estimate the biomass for each forest type. It is shown that the higher accuracy can be obtained for the hard broad-leaf forest compared to the lithocarpus and the other broad-leaf forest.
机译：热带森林植被生物量的估计对于全球变化研究非常重要。该估计是通过使用多元线性回归在中国云南省西双版纳市进行的。它包括四个步骤。首先，通过使用每个样品的现场库存数据来计算每个样品的生物量。其次，将包括Landsat TM数据及其派生数据的遥感数据，DEM，坡度和坡度等地形数据以及温度和降水等气候数据参考相同的投影和坐标。第三，所有数据都分为石果林，其他硬阔叶林和其他阔叶林。最后，多元回归分析用于估算每种森林类型的生物量。结果表明，与石果皮和其他阔叶林相比，硬阔叶林可以获得更高的精度。

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