针对MODIS数据的大气水汽含量反演及31和32波段透过率计算

 针对MODIS的波段特征,首先,用近红外波段反演大气水汽含量; 然后,通过LOWTRAN模拟大气水汽含量与MODIS 31和32热红 外波段透过率的统计关系; 最后,计算31和32波段的透过率。该方法克服了以往一景图像只用1个透过率的局限性,使得透过率的求 算精确到每1个像元,同时保证参数获取的实时性。

LOWTRAN RETRIEVAL OF ATMOSPHERIC WATER CONTENT AND TRANSMITTANCE COMPUTATION OF MODIS BANDS 31 AND 32

Remote sensing for landslides in China as a main means for regional landslide investigation has a history of more than 20 years, and has made important contributions to survey, mitigation and prevention of landslide disasters in large-scale engineering construction of mountainous areas. With the adoption of "digital landslide" technique and high resolution remote sensing data since the end of the 20th Century, Remote sensing for landslides has acquired the capacity for more exact qualitative and quantitative landslide survey, even for detailed survey and monitoring of large-size independent landslides. The realization of"digital landslide"technique depends on the support of remote sensing, digital photogrammetry and image-processing, GIS and computer technique. The"digital landslide"technique can be divided into three parts, i.e., acquisition of basic landslide information, information storage and management, and thematic service technique. With Tiantaixiang landslide, Three Gorges area, Jinglong Mountain landslide remote sensing investigation and Yigong landslide remote sensing monitoring as examples, this paper deals with the thematic service technique of "digital landslide".