山东省黄河流域森林蓄积量遥感定量估测模型研究

Study on Quantitative Estimation Modeling of Forest Volume Based on Remote Sensing in the Yellow River Basin of Shandong Province

采用2006年的TM遥感影像作为研究区的基本数据源,利用GPS、全站仪等仪器,采用典型随机抽样方法采集了378个抽样点的外业数据;借助MATLAB、SPSS、SAS、ERDAS等工具,运用主成分分析法、多元线性逐步回归法,结合RS、GPS和GIS技术,借助数学和物理理论,建立以像元为单位的山东省黄河流域森林蓄积量定量估测模型,为实现流域森林生态系统的平衡,最大限度地发挥森林的生态、经济和社会效益提供科学依据。

TM images in 2006 were selected as the basic data sources,378 sample points were collected with the method of typical and random sampling by GPS and the total station.With the help of the statistical analysis software like MATLAB,SPSS,SAS,as well as the tools for modeling and spatial analysis like ERDAS,with the technology of remote sensing,globe positioning system and geographical information system,using mathematical and physical theories to establish the prediction model of forest volume with pixel as the basic unit,quantitative estimation modeling of forest volume were based on the methods included principal component analysis and multi-element linear regression.The purpose of the model is to make the forest ecological system of the basin in balance and provide the scientific basis for exerting the best function of the ecological,economy and social benefits.