Proceedings of the 2015 International Conference on Environmental Engineering and Remote Sensing

Simulation and Monitoring Brightness Temperature from LANDSAT TM Images in Urban Area

Authors
Fu Chen, Jing Ma, Min Tan, Yuanwen Zeng
Corresponding Author
Fu Chen
Available Online September 2015.
DOI
10.2991/eers-15.2015.20How to use a DOI?
Keywords
brightness temperature; normalized difference vegetation index; normalized difference built-up index; LANDSAT TM image
Abstract

Brightness temperature (Tb), an effectively reflect the real surface temperature index, were quantitatively derived from LANDSAT TM images in Xuzhou city, China. Normalized difference vegetation index (NDVI) spatial model and normalized difference built-up index (NDBI) spatial model were also established in accordance with circular feature profiles using the technologies of RS and GIS. The results showed that: (1) there was a significantly negative correlation between NDVI and Tb, and a significantly positive correlation between NDBI and Tb, increasing of the correlation coefficient with the profile radius expanded; (2) The correlation between NDVI and Tb is greater than that between NDBI and Tb, but the contribution of Tb to NDVI is less than NDBI; and (3) The relationship between NDBI and Tb was more affected by land use structures, more complicated land use structure makes the relationship between NDBI and Tb stronger. This study effectively reveals the correlation between Tb and NDBI or NDVI in spatial distribution, and has a good application prospective in urban planning and ecological construction planning.

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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Volume Title
Proceedings of the 2015 International Conference on Environmental Engineering and Remote Sensing
Series
Advances in Computer Science Research
Publication Date
September 2015
ISBN
978-94-6252-106-3
ISSN
2352-538X
DOI
10.2991/eers-15.2015.20How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Fu Chen
AU  - Jing Ma
AU  - Min Tan
AU  - Yuanwen Zeng
PY  - 2015/09
DA  - 2015/09
TI  - Simulation and Monitoring Brightness Temperature from LANDSAT TM Images in Urban Area
BT  - Proceedings of the 2015 International Conference on Environmental Engineering and Remote Sensing
PB  - Atlantis Press
SP  - 77
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/eers-15.2015.20
DO  - 10.2991/eers-15.2015.20
ID  - Chen2015/09
ER  -