文章基本信息

标题：Comparison of Land Surface Temperature Mapping Using MODIS and ASTER Images in Semi-Arid Area
本地全文：下载
作者：M. Akhoondzadeh ; M.R. Saradjian
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII-B8
页码：873-876
出版社：Copernicus Publications
摘要：This paper presents application of the Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) thermal infrared bands for Land Surface Temperature (LST) retrieval. A brief summary of the Generalized split-window algorithm discuss and then LST map of Iran was calculated from Terra-MODIS 1km resolution images. For a given MODIS pixel, the split- window LST algorithm requires emissivities in band 31 and 32. These values are estimated by determining the MODIS/IGBP class and looking up the emissivity value in a table. After geometric correction of the image, LST of clear-sky pixels in MODIS scenes is retrieved from brightness temperatures in bands 31 and 32 in generalized split-window algorithm. The coefficient used in the split window algorithm are given by a LUT (Look-up table). Results compared using ASTER data acquired with same date and time. One study site selected: a semi-arid area located in south of Iran. The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm. The MODIS and ASTER temperature retrievals were in good agreement. It was shown that Classification-based emissivity is a good way for retrieval of temperature is Iran if Land-cover map would be refined with more information in the classification look-up scheme. In conclusion, the MODIS infrared images, because of their radiometric and spectral resolution and extensive swath width band can be useful for retrieval of LST map from Iran in different time periods for scientist studies
关键词：MODIS; ASTER; Land Surface Temperature (LST); Emissivity