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Proceedings Paper

A scaling approach for satellite-derived land surface temperature over terrain area
Author(s): Yuanbo Liu; Tetsuya Hiyama
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Paper Abstract

Accurate representation of land surface temperature (LST) at a large-scale is of great concern in numerous environmental studies. Simply averaging of LST measured at a small-scale into the large-scale may lead to misrepresentation due to spatial variability in LST and uncertainty in surface heterogeneity. The satellite-derived LST may be more comprehensive in large-scale observation, yet it often has the satellite-view biases, which is especially true to terrain area. To account for these factors, an approach for LST scaling was proposed, based on the Stefan-Boltzmann law and terrain correction approach used in remote sensing. It was further modified oriented to satellite-derived LST. A terrain area over the Loss Plateau of China was selected for examination. The Lipton-Ward (L-W) approach, which was originally developed for addressing the satellite-view biases in retrieved LST in mountain area, was also adopted in the examination from the perspective of scaling. Incorporated with 90-m topographical data, 90-m LST and emissivity products from The Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) were scaled up to 900-m using the two approaches. Results showed that the proposed approach smoothed the LST difference and reduced the standard deviation of LST but the L-W approach did not. This was further confirmed from the comparison with the terrain corrected 900-m LST, which was produced from the LST products of The MODerate resolution Imaging Spectroradiometer (MODIS) onboard the same satellite platform with ASTER sensor.

Paper Details

Date Published: 18 October 2005
PDF: 8 pages
Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760O (18 October 2005); doi: 10.1117/12.626990
Show Author Affiliations
Yuanbo Liu, Nagoya Univ. (Japan)
Tetsuya Hiyama, Nagoya Univ. (Japan)

Published in SPIE Proceedings Vol. 5976:
Remote Sensing for Agriculture, Ecosystems, and Hydrology VII
Manfred Owe; Guido D'Urso, Editor(s)

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