基于RS和GIS的黄河故道地区土地沙质贫瘠化评价——以河南省中牟县为例  

Arenaceous Land Leanness of Abandoned Channel of Yellow River Based on RS and GIS——a Case in Zhongmu County of Henan Province

作　　者：刘鹏飞[1] 杜丽平[1] 齐贞[1] 刘晓冰[1] 宋轩[1] 

机构地区：[1]郑州大学水利与环境学院,郑州450001

出　　处：《气象与环境科学》2011年第3期21-25,共5页Meteorological and Environmental Sciences

基　　金：国家自然科学基金(40971128);国家科技支撑计划重点项目(2007BAD87B09)资助

摘　　要：土地沙质贫瘠化是土地沙漠化在黄河故道地区的典型表现形式,对该区域的生态环境和人类可持续发展构成了巨大威胁。利用Landsat TM数据,在遥感与地理信息建模技术支持下,构建了像元为尺度的土地沙质贫瘠化定量化评价模型。通过对模型中的植被盖度、地表温度和裸沙占地百分比等3个关键因子的遥感反演,可实现对研究区土地沙质贫瘠化程度的自动化评价,并对其空间分布进行制图输出。Arenaceous land leanness is a typical form of desertification in the abandoned channel of Yellow River,which poses a great threat to the regional ecological environment and sustainable human development.Based on remote sensing and geographical modeling technology,the quantitative evaluation model is built at pixel scale of arenaceous land leanness.By use of Landsat TM data,the auto-evaluation of arenaceous land leanness and mapping output of its spatial distribution are achieved by remote sensing inversion of vegetable cover and surface temperature and the percentage area of bare sand.

关 键 词：土地沙漠化 遥感 线性光谱分解 植被盖度 地表温度 裸沙占地百分比 

分 类 号：S159[农业科学—土壤学] TP79[农业科学—农业基础科学]