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Proceedings Paper

Investigation of the difference between thermal infrared canopy temperature and microwave effective canopy temperature over homogeneous corn canopy
Author(s): Jing Liu; Qinhuo Liu; Hongzhang Ma; Le Yang; Jingjing Peng
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Paper Abstract

Land surface temperature (LST) is an important parameter that modulates land surface process. The combination of infrared temperature and microwave temperature is a trend in the research of LST. Thermal infrared temperature and microwave temperature have different physical significances and values. However, they are always treated as the same temperature nowadays in the research on the combination of infrared temperature and microwave temperature. In this study, the homogeneous canopy is the leaf-dominated crown layer ignoring the effect of branches. Two layers with different temperature, the canopy layer and the soil layer, are considered. MESCAM model based on matrix doubling method has been modified by getting rid of the effects of the main and secondary stems. The effect of multiple scattering at L and C band has been studied by comparing the results of taoomiga model with that of the modified MESCAM model. Tao-omiga model was adopted to compute the canopy brightness temperature at L band and a simple geometric-optical model basing on gap probabilities was used to compute the canopy brightness temperature at thermal infrared band in the same scene. The relationship and the difference between thermal infrared canopy surface physical temperature and L band canopy effective physical temperature with different soil moisture have been analyzed in three different situations of TC (the temperature of the foliage component) and TS (the temperature of the soil component). It is a base of further exploring the cooperative inversion combining thermal infrared remote sensing with passive microwave remote sensing.

Paper Details

Date Published: 19 October 2012
PDF: 9 pages
Proc. SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, 85311Y (19 October 2012); doi: 10.1117/12.971451
Show Author Affiliations
Jing Liu, Institute of Remote Sensing Applications (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Qinhuo Liu, Institute of Remote Sensing Applications (China)
Hongzhang Ma, China Univ. of Petroleum (China)
Le Yang, Institute of Remote Sensing Applications (China)
Jingjing Peng, Institute of Remote Sensing Applications (China)
Graduate Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 8531:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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