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MODIS数据陆面温度反演研究 被引量:9

Retrieving Land Surface Temperature from MODIS Data
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摘要 陆面温度(LST,landsurfacetemperature)是研究地表和大气之间物质交换和能量交换的重要参数。基于推广的分裂窗算法,运用MODIS数据,在青海湖地区(200km*200km)进行了陆面温度反演研究。在实验区,推广的分裂窗算法传感器高度角大于40°,将原分裂窗的区间进行了细化,与分裂窗方法相比,传感器高度角在40°~50°,大气柱水汽含量小于1.5cm时,反演精度较高,小于1K;与分裂窗方法类似,该方法对比辐射率和传感器仪器质量的误差不甚敏感。 Land surface temperature (LST) is one of the key parameters in the physics of land-surface processes on regional and global scales, combining the results of all surface-atmosphere interactions and energy fluxes between the atmosphere and the ground. Land surface temperatures were retrieved in QingHai lake district (high plateau district) over 200 km*200 km from MODIS data based on the advanced generalized split-window algorithm. The theoretical basis of LST retrieving, split-window algorithm, advanced generalized split-window algorithm was stated in the article. In order to reduce the error of LST, the radiance value of channel 31 and 32 of MODIS data, temperature of the atmosphere lower boundary, atmosphere column water vapor, land surface emissivity, sensor zenith angle of each pixel was obtained. Subranges were divided among 40°~51° of the sensor zenith angle especially which reduces the error of retrieved LST. As the development of the generalized split-window algorithm, It not only retrieves LST more accurately, but is also less sensitive to uncertainty in emissivity and to the instrument quantization error.
作者 杨青生 刘闯
出处 《遥感技术与应用》 CSCD 2004年第2期90-94,共5页 Remote Sensing Technology and Application
关键词 陆面温度 分裂窗算法 反演 MODIS数据 Land surface temperature, Advanced generalized split-window algorithm, Retrieve, MODIS data
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参考文献13

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