【作者】 肖斌；

【导师】 沙晋明；

【作者基本信息】 福建师范大学 ， 地图学与地理信息系统， 2008， 硕士

【摘要】 本文首先对EOS遥感卫星数据的特点及应用前景和研究区概况做了简要介绍,通过对国内外地表温度和土壤水分遥感监测的现状分析,阐明了基于遥感数据和信息模型来监测区域地表温度和土壤水分的重要意义;其次,分别以MODIS和ASTER为数据源,分析了各自热红外波段辐射强度与温度(0～70℃)的相关关系,介绍了相关参数的提取,利用改进的单窗算法或劈窗算法对研究区的地表温度进行反演。接着,利用真实地表温度数据对反演结果进行了评价,根据评价结果获取地表温度反演最优算法,对MODIS和ASTER地表温度反演结果进行了相关分析,并对MODIS地表温度反演结果进行了DEM订正。最后,根据研究区的特点和地表温度反演结果,对研究区土壤相对湿度进行了地形纠正,并对其空间分布特征进行了遥感综合分析。更多还原

【Abstract】 This theis firstly simply introduces the characteristics and prospect of EOS Remote Sensing data, and also introduces the general situation of the study area. Through analyzing the domestic and international RS monitoring programs on land surface temperature and soil moisture, the thesis illustrates the significance of retrieving regional land surface temperature and soil moisture based on RS information models and data. Seconde, respectively using MODIS or ASTER data as source data, the thesis analyzes the correlation between the radiant intensity calculated from every thermal infrared band and temperature from 0 degree to 70 degree. The thesis introduces and studies how to estimate critical parameters and to retrieve land surface temperature with the modified mono-window or split-window algorithms. In succession, through evaluating precision of retrieved results against actual land surface temperature, the thesis performs a relative analysis on the results retrieved from MODIS and ASTER respectively with the best algorithms, and also corrects the land surface temperature retrieved from MODIS with the value of DEM in the study area. Finally, according to the characteristics of the study area and the retrieved land surface temperature, the thesis retrieves soil moisture with VSWI, corrects it with the value of DEM, and mkes a comprehensive RS analysis on the spatial distribution features of it.更多还原