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Proceedings Paper

The satellite-based, forest-water stress detection algorithm
Author(s): Satoshi Tanigawa; Masao Moriyama; Yoshiaki Honda; Koji Kajiwara
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Paper Abstract

The early stage of the water stressed forest shows the higher temperature before the spectral reflectance change. To detect the water stressed forest, the satellite detected surface temperature is utilized. The day and night surface temperature difference is the key factor of the detection, in the case of non-stressed forest the daytime surface temperature suppress the latent heat increase and the nighttime surface temperature is almost same as the air temperature at the surface, so that the water stress makes the daytime temperature increases. The day and night surface temperature difference is primary affected by the forest water stress level. To remove the another effect to the temperature difference such as the nighttime low air temperature in autumn, the modified day and night surface temperature difference is defined for the forest water stress detection index. Using the day night surface temperature product from MODIS and the latent heat flux dataset acquired at some sites of the AMERIFLUX, The water stressed forest is identified using the proposed index. Also the numerical simulation for the sensitivity analysis of the proposed index is made and the effectiveness of the index is clarified.

Paper Details

Date Published: 21 November 2012
PDF: 10 pages
Proc. SPIE 8524, Land Surface Remote Sensing, 85241V (21 November 2012); doi: 10.1117/12.977225
Show Author Affiliations
Satoshi Tanigawa, Nagasaki Univ. (Japan)
Masao Moriyama, Nagasaki Univ. (Japan)
Yoshiaki Honda, Chiba Univ. (Japan)
Koji Kajiwara, Chiba Univ. (Japan)


Published in SPIE Proceedings Vol. 8524:
Land Surface Remote Sensing
Dara Entekhabi; Yoshiaki Honda; Haruo Sawada; Jiancheng Shi; Taikan Oki, Editor(s)

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