Ji’nan land surface temperature inversion and spatial distribution research based on remote sensing image

Juan Ling

doi:10.1117/12.2282089

21 July 2017 Ji’nan land surface temperature inversion and spatial distribution research based on remote sensing image

Juan Ling

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104203G (2017) https://doi.org/10.1117/12.2282089
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

Land surface temperature is playing a very important role in ground-atmosphere interaction. It is a key parameter in the global change studies. So it becomes one of important tasks in quantitative remote sensing research to make use of satellite remote sensing to retrieve land surface temperature at present. Land surface temperature is a crucial parameter of thermal energy distribution in region, the most efficient way to acquire it is through thermal infrared remote sensing images. On the basis of studies on the land surface temperature. With the support of remote sensing and GIS technology, using the single window algorithm to quantitative inversion of thermal infrared remote sensing image, obtain the spatial distribution of surface temperature change in the study area

Citation Download Citation

Juan Ling "Ji’nan land surface temperature inversion and spatial distribution research based on remote sensing image ", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203G (21 July 2017); https://doi.org/10.1117/12.2282089

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