Remote Sensing Stream Flow Discharge & Soil Classification by Using Reflected GPS Observations, L1 & L2 Reflectivity and Digital Terrain Model

Lie-Chung Shen, Y-H. Chen, C-H. Cheng, Ching-Liang Tseng, Jyh-Ching Juang, and Ching-Lang Tsai

Abstract:	In the paper, Application and development of a highly integrated GPS receiver with reflected GPS signals for Ground Object Detection and stream flow will be described. Several application considerations have been analyzed in order to successfully acquire and track weak, reflected GPS signals from ground surface. First of all, both RHCP and LHCP antennas are employed so that direct and reflected signals can be acquired simultaneously. The direction of arrival of the signals may be along the reflected signal path or even along the line-of-sight of a particular satellite. Unlike most existing GPS reflection experiment, the goal of the study is to exploit the carrier phase, reflectivity of L1/L2 SNR components of the reflected signals and direct signals for stream clam water, disturbed water, dry soil, wet soil, grass, tree, bare soil and concrete road object detection with surface. The stream flow modeling is predicted by using Doppler shifts due to surface reflection as a moving surface. The discharge model of stream & reservoir is developed by digital terrain elevation data and 3D spatial analysis with couture & soil-sediment correction model in the integrated software. An integer ambiguity resolution algorithm has also been implemented. During the development and test stage, the DTED and visual elements of satellite´s images has been used and mapped with the integrated software. But the results predict the difference of reflected altitude and DTED level 2 height data (pixel resolution ~ 30 m, altitude´s resolution~ 10 m) are among -0.1 m and -3.5 m for the reflected area of water body, dry and wet soil sediment. The Effective capacity and DTED level 3 of stream & dam area have been generated and predicted by the reflected GPS foot-print area model at Tsengwen Reservoir, Southern Region Water Resources Office, Taiwan.
Published in:	Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007) September 25 - 28, 2007 Fort Worth Convention Center Fort Worth, TX
Pages:	1643 - 1650
Cite this article:	Shen, Lie-Chung, Chen, Y-H., Cheng, C-H., Tseng, Ching-Liang, Juang, Jyh-Ching, Tsai, Ching-Lang, "Remote Sensing Stream Flow Discharge & Soil Classification by Using Reflected GPS Observations, L1 & L2 Reflectivity and Digital Terrain Model," Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), Fort Worth, TX, September 2007, pp. 1643-1650.
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