The Open Cybernetics & Systemics Journal

2015, 9 : 228-235
Published online 2015 April 17. DOI: 10.2174/1874110X01509010228
Publisher ID: TOCSJ-9-228

Land Surface Temperature Retrieval Based on Landsat ETM+/TM-- Taking Xi’an City as an Example

Chen Qiuji and Li Chuting
College of Geomatics, Xi’an University of Science and Technology, Xi‘an, 710054, P.R. China.

ABSTRACT

The development of remote sensing technology and geographic information systems provides a new research tool for people to quickly access urban heat environmental information and analysis the evolution of space. Combined with urban development planning data related information of Xi'an, then the LST of Xi'an urban area was successfully retrieved by the mono-window algorithm based on 2002 ETM + and 2010 TM images. The results indicated that there was a weak heat island effect in most districts of Xi'an, only a small portion of the region where there was a strong heat island effect. In 2002, the temperature between suburbs district and urban district in Xi'an was about 24°C-30°C, the same as 2010. But in 2010, the area of heat island effect was much smaller than 2002. Finally, the correlation between NDVI and LST was also analyzed, and results concluded that the LST retrieved from the ETM+/TM data had a strong negative correlation with NDVI. Therefore, increasing vegetation area in urban can help alleviate the heat island effect.

Keywords:

Heat island effect , land surface temperature, landsat ETM+/TM, mono-window algorithm .