TY - GEN
T1 - Remote sensing stream flow discharge & soil classification by using reflected GPS observations, L1 & L2 reflectivity and digital terrain model
AU - Shen, Lie Chung
AU - Chen, Y. H.
AU - Cheng, C. H.
AU - Tseng, Ching Liang
AU - Juang, Jyh Ching
AU - Tsai, Ching Lang
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:58449135753
SN - 9781605600697
T3 - 20th International Technical Meeting of the Satellite Division of The Institute of Navigation 2007 ION GNSS 2007
SP - 1643
EP - 1650
BT - 20th International Technical Meeting of the Satellite Division of The Institute of Navigation 2007, ION GNSS 2007
PB - Institute of Navigation (ION)
T2 - 20th International Technical Meeting of the Satellite Division of The Institute of Navigation 2007 ION GNSS 2007
Y2 - 25 September 2007 through 28 September 2007
ER -