本文利用陆地卫星图像和航空像片判读,结合地面采样调查,对既能从遥感图像上提取又是影响大熊猫主食竹类生长的环境因子,建立多元回归的数学模型。根据多元回归求算各个地块的得分值,以评价主食竹类的立地质量等级。得出位于中高海拔东北向缓坡下部兼有针阔混交林覆盖的厚土层地段,是主食竹类的最适生长环境和大熊猫的最佳栖息环境。因此,利用遥感技术进行立地质量分类和编制大熊猫环境质量分布图,将对恢复和改善其栖息环境以及管理保护工作起到积极的作用。 In this paper, land satellite imagery and aerial photograph interpretation are used to establish a mathematical model of multiple regression with the ground sampling survey, and the environmental factors that can both extract from the remote sensing images and affect the growth of giant panda bamboo species. Based on multiple regression, the scores of each plots were calculated to evaluate the site quality grade of bamboo staples. It is concluded that the thick soil layer covering the lower part of northeastern gentle slope and mixed coniferous and broad-leaved forest at middle and high elevation is the optimal habitat for giant bamboo and the optimum habitat for giant panda. Therefore, the use of remote sensing technology for site quality classification and compilation of Giant Panda environmental quality maps will play an active role in restoring and improving their habitat and management and protection.