Inversion of Surface Temperature Based on MODIS and ASTER Imagery

نویسندگان

  • Shenghui Fang
  • Yuanyong Dian
  • Yuanchao Fan
چکیده

In this paper, on the basis of summarizing the main algorithms of retrieval of land surface temperature, the principle of temperature retrieval algorithm based on multi-channel data is described and factors affecting the accuracy of retrieval are analyzed. In addition, mixed pixel emissivity is discussed and the relevant estimation method using the results of classification of visible-band images is put forward. Experimental retrieval of land surface temperature is conducted by making use of MODIS and ASTER imagery in local Wuhan areas, with the empirical results analyzed.

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تاریخ انتشار 2008