CAJ | 학술논문

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。
침대HJ-1B성CCD수거，이내몽고초지위연구대상，응용식피지수모형、PROSAIL모형이급열암점지수모형대연구구초지진행협면적지수정량고산연구，동시이용LAI-2000획취적실측수거진행반연결과검험。결과현시：복합형식피지수통계모형적R2＝0.7，물리모형위0.67；이전통식피지수모형R2부위0.61。실험표명열암점식피지수모형비전통식피지수모형경괄우진행내몽고초지LAI정량반연。
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 .