摘要
以遥感图像反演的地表温度、表观热惯量为自变量,通过遗传规划方法,找到了区域空气饱和差这一非遥感参数的求算方法。
Global change has been one of the most noticeable problems in the field of environmental science. Regional research is a key method for solving such important problems as the global environmental change. As a synthetical geographical information resource, Remote Sensing (RS) plays an important role in this process. As the physical mechanism retrieved by RS model is limited, the utilization of the accessible RS data to predict the un-retrieved non-RS parameter seems especially important. With the land surface temperature and pseudo thermal inertia as independent variables and by means of Genetic Programming, the authors have found a method to compute regional aerial saturation deficiency.
出处
《国土资源遥感》
CSCD
2004年第1期23-26,共4页
Remote Sensing for Land & Resources
基金
中国科学院地理科学与资源研究所创新课题"温度和地表粗糙度空间反演和扩展模型(CXIOG-D00-02)"资助。
关键词
空气饱和差
遥感图像
反演
表观热惯量
遗传规划
Aerial saturation deficiency
Genetic Programming
Pseudo-thermal-inertia
