基于MODIS的沙漠化地区植被覆盖度提取模型的研究  

Model establishment of vegetation coverage extraction in sandy desertification area based on MODIS image data

作　　者：霍艾迪[1] 康相武[2] 王国梁[3] 武苏里[3] 魏洁琼[3] 

机构地区：[1]长安大学环境科学与工程学院,陕西西安710064 [2]中国科学技术信息研究所,北京100097 [3]西北农林科技大学,陕西杨凌712100

出　　处：《干旱地区农业研究》2008年第6期217-223,共7页Agricultural Research in the Arid Areas

基　　金：中国科学院资源环境领域野外台站研究基金项目;西北农林科技大学人才基金

摘　　要：目前常用的植被覆盖度遥感反演模型,受限条件较多,所用系数精度不高。针对上述问题,提出了利用研究区域的实测最大和最小植被覆盖度确定反演模型系数的方法和基于MODIS影像数据的地面实测验证方法。经用该方法对毛乌素沙地沙漠化地区的植被覆盖度进行反演,并同步监测该区域的地表覆盖度对反演结果进行验证,结果表明地面同步实测植被覆盖度与反演的误差绝对值平均值为0.04,反演方法精度较高。研究表明本文提出的利用MODIS影像数据反演沙漠化地区地表覆盖度的模型、地面验证方法切实可行,适合对沙漠化地区地表植被覆盖度大范围且快速的遥感监测。Because complex parameters of vegetation information, extracted from MODIS data, lack appropriate validation method and have low accuracy at present, a method was proposed using the maximum and the minimum vegetation coverage to determine the parameters of vegetation coverage inversion based on the MODIS data. According to the comparison between vegetation parameters extracted from MODIS data and the synchronous ground data in Mu Us sandy land, it was found that the model accuracy was pretty high, and the correlation between the extracted parameters and the ground data is significant and the correlation coefficient reached 0.93. The results shown the model introduced in this paper is suitable for vegetation coverage extraction and it could be used for vegetation dynamic monitoring in large-scale region by MODIS data.

关 键 词：植被覆盖度 植被指数 遥感 

分 类 号：P228[天文地球—大地测量学与测量工程] TP75[天文地球—测绘科学与技术]