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Proceedings Paper

Retrieving spatial-temporal variation of land surface temperature in Tibetan Plateau for the years 2005-2006 from MODIS satellite data
Author(s): Maofang Gao; Zhihao Qin; Jianjun Qiu; Sanchao Liu; Bin Xu; Wenjuan Li; Xiuchun Yang
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Paper Abstract

Tibetan Plateau serves as the sources of several big rivers such as Yangtze River and Yellow River. Due to the high elevation of the plateau, it has profound thermal and dynamical influence on both local and global climate and atmospheric circulation. Land surface temperature (LST) plays a significant role in climate change and glacier melting. In this paper we present our study on mapping land surface temperature variations for the years 2005-2006 in the plateau using MODIS satellite data. Since the plateau has a very rough ground surface that is difficult to estimate the necessary parameters for the mapping, we have developed a practical approach for LST retrieval from the MODIS thermal band data. The approach was alternated from the split window algorithm proposed by Qin et al. (2001) for NOAA-AVHRR data. Detailed methods for atmospheric transmittance and ground emissivity have been presented in the paper. Results from our study indicate that ground temperature in the plateau is featured with obvious spatial and temporal variations. Generally the temperature in winter and spring is less than 0°C and it is also not very high in summer, due to the high altitude. Because of topological form, Chaidamu Basin of the plateau has the highest temperature in summer, usually high up to above 40°C. Our study provides an alternative to understand the environmental changes in the plateau that shape significant impacts on atmospheric dynamics of East Asia and South Asia.

Paper Details

Date Published: 13 October 2008
PDF: 10 pages
Proc. SPIE 7110, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII, 71101A (13 October 2008); doi: 10.1117/12.800098
Show Author Affiliations
Maofang Gao, Institute of Agro-Resources and Regional Planning (China)
Zhihao Qin, Institute of Agro-Resources and Regional Planning (China)
Nanjing Univ. (China)
Jianjun Qiu, Institute of Agro-Resources and Regional Planning (China)
Sanchao Liu, National Disaster Reduction Ctr. (China)
Bin Xu, Institute of Agro-Resources and Regional Planning (China)
Wenjuan Li, Institute of Agro-Resources and Regional Planning (China)
Xiuchun Yang, Institute of Agro-Resources and Regional Planning (China)


Published in SPIE Proceedings Vol. 7110:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
Ulrich Michel; Daniel L. Civco; Manfred Ehlers; Hermann J. Kaufmann, Editor(s)

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