Land Surface Temperature Remote Sensing Inversion of Black Soil Area and Spatial Variation Analysis based on Landsat TM6

DOI

10.2991/mebe-15.2015.166How to use a DOI?

Keywords

Temperature; Mono-window Algorithm; Inverse; Difference.

Abstract

Using Chagan Lake area as the study area and based on the DN value of sixth band of the Landsat 5 TM image of the region in 2011, this paper uses mono window algorithm to inverse the real surface temperature of the study area under the regional thermal radiation condition and curtained atmospheric transmissivity atmospheric transmission rate and emissivity. Then the inversion data and actual measured data are compared and analyzed. It is shown that the mono-window inversion algorithm achieved a high accuracy, and can better reflect the distribution of surface temperatures. On this basis, the temperature distribution of the region and its influencing factors are analyzed.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guang-yu Zhang
AU  - Wei Shen
AU  - Zhao-zhuo Ouyang
AU  - Fu-chao Na
AU  - Fang Yang
PY  - 2015/04
DA  - 2015/04
TI  - Land Surface Temperature Remote Sensing Inversion of Black Soil Area and Spatial Variation Analysis based on Landsat TM6
BT  - Proceedings of the 2015 International Conference on Materials, Environmental and Biological Engineering
PB  - Atlantis Press
SP  - 737
EP  - 742
SN  - 2352-5401
UR  - https://doi.org/10.2991/mebe-15.2015.166
DO  - 10.2991/mebe-15.2015.166
ID  - Zhang2015/04
ER  -