一种空气饱和差区域分布的推算方法

doi:10.6046/gtzyyg.2004.01.06

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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。

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Abstract：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.

收稿日期: 2003-07-29 出版日期: 2011-08-02

基金资助:

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。

作者简介: 孙英君(1976-),女,在读博士,2001年6月硕士毕业于山东科技大学,现在中国科学院地理资源与环境研究所资源与环境信息系统国家重点实验室攻读博士学位,主要从事GIS空间分析、遥感尺度扩展方面的研究工作.

引用本文:

孙英君, 王劲峰. 一种空气饱和差区域分布的推算方法[J]. 国土资源遥感, 2004, 16(1): 23-26.
SUN Ying-jun, WANG Jin-feng . A METHOD FOR COMPUTATION OF REGIONAL AERIAL SATURATION DEFICIENCY. REMOTE SENSING FOR LAND & RESOURCES, 2004, 16(1): 23-26.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2004.01.06 或 https://www.gtzyyg.com/CN/Y2004/V16/I1/23

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