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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51667

Title: Reanalysis of L-band brightness predicted by the LSPR model for prairie grassland Incorporation of the IEM model
Authors: Y. A. Liou
K. S. Chen
T. D. Wu
Contributors: 國立臺灣海洋大學:電機工程學系
Keywords: L-band
Predictive models
Land surface
Rough surfaces
Surface roughness
Surface treatment
Land surface temperature
Date: 2001-06
Issue Date: 2018-12-14T08:00:07Z
Publisher: IEEE Transactions on Geoscience and Remote Sensing
Abstract: Abstract: L-band brightness predicted by the land surface process/radiobrightness (LSP/R) model for prairie grassland appears to be somewhat lower than expected. A crucial reason for the underestimate of the L-band brightness is that the soil surface was treated as smooth. In this paper, surface scattering of the soil determined by the IEM model is incorporated into the LSP/R model to examine its impact on the predicted L-band brightness. Eight sets of surface parameters, two correlation lengths (L) of 3 and 6 cm/spl times/4 root mean squared (RMS) heights (/spl sigma/) of 0.3, 0.6, 0.8, and 1.0 cm, are utilized to characterize the emission of the soil surface. It is found that H-polarized, L-band brightness is expectedly increased by different levels for all of the eight rough surface cases compared to the smooth surface case. The increase in the average of the H-polarized, L-band brightness is by as much as 13.2 K for the case with L=3 cm and /spl sigma/=1.0 cm. In addition, L-band's sensitivity to soil moisture is found to be approximately equal with and without the scattering effects. An increase in H-polarized, L-band brightness by about 12 K at the end of a 14-day simulation by the LSP/R model is in response to a decrease in soil moisture by 7% for all of the nine cases of concern (eight rough plus one smooth soil surfaces).
Relation: 39(1) pp.129-135
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51667
Appears in Collections:[電機工程學系] 期刊論文

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