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与传统遥感观测相比,多角度对地观测通过对林木多个方向的观察,可得到丰富的森林三维空结构信息,为定量遥感提供新的途径。本文根据不同遥感数据选择合适的模型并建立相应的查找表。TM/ETM+数据采用混合像元分解模型,CHRIS数据考虑不同森林场景选择不同的遥感物理模型,在选择合适的模型基础上,根据模型的不同敏感参数和试验区选择的特点设计查找表参数,并由模型正演建立查找表,再根据插值的方法由遥感图像的反射率值反演LAI。两种数据反演得到的LAI与MODIS 15A2 LAI产品比较分析。结果表明多角度遥感反演准确率有一定的提高,具有一定的理论研究和实际应用价值。
Compared with the traditional remote sensing observations, the multi-angle observation of the earth can obtain abundant three-dimensional empty structure information of forests by observing multiple directions of forest trees, and provide a new way for quantitative remote sensing. In this paper, according to different remote sensing data to select the appropriate model and the establishment of the corresponding look-up table. TM / ETM + data is mixed pixel decomposition model. CHRIS data considers different remote sensing physical models of different forest scenarios. Based on the selection of suitable models, the lookup table parameters are designed according to the different sensitive parameters of the model and the characteristics of the test area selection The look-up table is established by forward modeling, and then the LAI is retrieved from the reflectance values of remote sensing images according to the interpolation method. Comparative Analysis of LAI and MODIS 15A2 LAI Products Derived from Two Kinds of Data. The results show that the accuracy of multi-angle remote sensing inversion has been improved to a certain extent, with some theoretical research and practical application value.