基于MODIS 的沙漠化地区植被覆盖度提取模型的研究

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。

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

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.