基于HJ-1B影像的内蒙古草地叶面积指数反演

Research on leaf area index quantitative inversion of grassland in Inner Mongolia based on HJ-1B data

针对HJ-1B星CCD数据,以内蒙古草地为研究对象,应用植被指数模型、PROSAIL模型以及热暗点指数模型对研究区草地进行叶面积指数定量估算研究,同时利用LAI-2000获取的实测数据进行反演结果检验。结果显示:复合型植被指数统计模型的R2=0.7,物理模型为0.67;而传统植被指数模型R2仅为0.61。实验表明热暗点植被指数模型比传统植被指数模型更适于进行内蒙古草地LAI定量反演。

To inverse the LAI ,it takes the grassland in Inner Mongolia as the research object ,and remote sensing image of HJ-1B satellite as data .And the vegetation index statistical model ,PROSAIL model and the hot dark point （HDS） vegetation index model are used in this paper .The results are validated with measured data .Experiments show that the value of R2 by traditional vegetation index statistical model is only 0.61 ,the physical model is 0.67 ,and the HDS vegetation index model is 0.7 .T he results indicate that for LAI quantitative inversion in Inner Mongolia grassland ,the HDS vegetation index model is better than traditional vegetation index .