摘要
本文通过分析遥感提取植被覆盖度的经验模型法、植被指数法和混合像元分解法,归纳了它们各自的优势、精度和存在的问题,指出了影响应用较广泛的植被指数转换法精度是全植被覆盖像元的选取。在此基础上提出了植被指数转换法的改进模型一利用高分辨率卫星图像的最大NDVI值作为均一像元的NDVI值替换中等分辨率卫星图像的NDVI值,建立植被覆盖度提取模型,从而通过中等分辨率卫星图像获取大范围植被覆盖度的方法。经实践检验,该方法简单、实用,适合于利用中等分辨率卫星图像进行大范围宏观监测。
The paper analyzes three plans on extraction of vegetation cover rate using remote sensing, i.e., experience model plan,vegetation index plan and mix-pix analytical plan and identifies their force, precision and existing problems in actual application. It points out what affects the wide application of precision of vegetation index transform plan abroad is the choose of the maximum NDVI - complete vegetation cover.Based upon this it introduces an improved model of vegetation index transform plan using the maximum NDVI value of the high resolution satellite image as the homogenous pixel's NDVI value to replace the NDVI value of the middle resolution satellite image, set up vegetation cover extraction model so as to develop a method for obtaining large scale vegetation cover with the aid of middle resolution satellite image. Practice proves this method is simple and practical, suitable for large scale macroscopic monitoring by applying middle resolution satellite image.
出处
《地球信息科学》
CSCD
2005年第1期84-86,97,F003,共5页
Geo-information Science
基金
973重大基础研究前期研究专项-干旱半干旱地区的环境动力机制重大理论基础研究(2003CCC01500)世界银行贷款项目-塔里木河流域生态环境遥感监测系统。
关键词
植被覆盖度
遥感
信息提取
模型
vegetation coverage
remote sensing
information extraction
model
