基于GIS和RS技术的高等级公路边坡护坡植被适应性的研究

以涿廊高速公路为例，在GIS的支持下，以2008年Landsat ETM遥感数据和ASTER GDEM为主要数据源，结合气象数据和调查数据，基于主成份分析和层次分析法构建高等级公路边坡植被适应性评价模型进行分析与评价，并根据综合评价结果对研究区的植被适应性进行统计分类。在此基础上，在空间分布上对结果进行定量化分析。结果表明：适应性良好的区域、基本适应区域和基本不适宜用区域所占的比例分别为：49．27％，30．37％和20．35％。在较大尺度范围内，利用GIS和RS技术、基于主成份分析和层次分析法对高等级公路边坡护坡植被适应性的评价是可行的。

The Study on Slope Vegetation Adaptability Evaluation of Highway Based on GIS and RS technology

The study selected Zhuozhou-Langfang Highway as research objection. With the support of GIS （Geographic Information System） technology, the study take remote sensing data of Landsat ETM＋ （ Enhanced Thematic Mapper Plus） image in 2008 and ASTER GDEM （Advanced Spaceborne Thermal Emission and Reflection radiometer-Global Digital Elevation Model） data as the main data sources, combined with meteorological data and survey data. The Principal Component Analysis （PCA）and Analytic Hierarchy Process （A.HP） methods are used to establish the slope vegetation adaptability evaluation model in first-class highway. According to the adaptability evaluation results of the study area, the paper carries on the quantitative analysis in the spatial distribution. The results show that the best adaptive area, the basic adaptative area and adapt the basic inappropriate areas respectively are 49.27%, 30.37% and 20.35%. In the larger scales, GIS and RS technology are used to assess highway slope vegetation based on Principal Component Analysis and Analytic Hierarchy Process methods, which is feasible.