Share Email Print
cover

Proceedings Paper

Inversion land surface temperature by using TM data
Author(s): Jianmao Guo; Junyi Shi; Xiangyun Han; Tengfei Zheng; Qi Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The land surface temperature (LST) plays an important role in the process of interaction between surface and atmosphere. It is widely need in meteorology, geology, hydrology, ecological and many other fields. This article uses the ETM+ data of February 16th, 2002 and August 27th, 2002, using the single window algorithm to retrieve the LST in the southern area of Gansu province. First step is removing cloud for image. Secondly, classifies the type of surface by dividing into three types of water surface, snow surfaces (winter) and natural surface. Then, estimate the emissivity according to the classification in order to calculate surface temperature. Through the analysis of spatial distribution of land surface temperature in the study area, the result shows QinZhiHao's single window algorithm is consistent with the reality.

Paper Details

Date Published: 24 October 2012
PDF: 9 pages
Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130D (24 October 2012); doi: 10.1117/12.930428
Show Author Affiliations
Jianmao Guo, Lanzhou Arid Meteorological Institute of China Meteorological Adiministration (China)
Nanjing Univ. of Information Science & Technology (China)
Junyi Shi, Nanjing Univ. of Information Science & Technology (China)
Xiangyun Han, Nanjing Univ. of Information Science & Technology (China)
Tengfei Zheng, Nanjing Univ. of Information Science & Technology (China)
Qi Wang, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 8513:
Remote Sensing and Modeling of Ecosystems for Sustainability IX
Wei Gao; Thomas J. Jackson, Editor(s)

© SPIE. Terms of Use
Back to Top