1998 Fiscal Year Final Research Report Summary
Development of GPS orbit forecasting system for differential positioning in forest area
| Project/Area Number |
09660154
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
林学
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| Research Institution | The University of Tokyo |
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Principal Investigator |
TSUYUKI Satoshi The University of Tokyo, Graduate School of Agricultural and Life Sciences, Associate Professor, 大学院・農学生命科学研究科, 助教授 (90217381)
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| Project Period (FY) |
1997 – 1998
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| Keywords | GPS / differential positioning / fish-eye photograph / digital image analysis / Tokyo University Forest in Hokkaido / Tokyo University Forest in China |
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| Research Abstract |
GPS positioning is difficult in forest area compared to agricultural field or ocean. The main reason for this supposed to be cut-off of GPS signal by terrain and tree canopies. So, it is needed to make GPS survey plan, by knowing when GPS satellites will pass through tree canopy gap of particular positioning point, to find out when GPS positioning is possible at that point. This research aims to develop GPS orbit forecasting system for differential positioning in forest area, by combining photograph of the point and GPS orbital information. Research fields were set at Tokyo University Forest in Hokkaido and Tokyo University Forest in Chiba. In each positioning point in the forest, a high-resolution fish-eye digital photograph of the sky and GPS signal of more than one hour were taken. Digital fish-eye photograph was analyzed by digital image analysis technic, to classify the elements of the photograph, such as sky, leaves, branches, and ground. Then those elements were converted into "
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openness", which denotes degree of penetration of GPS signal, to generate "openness" image. GPS orbits of the observed satellites were calculated from almanac data, and they were plotted on the "openness" image to extract every 10 seconds' "openness" data. Each GPS satellites' signal were analyzed to calculate signal strength of every 10 seconds. Then "openness" data and signal strength data were combined by using "time" as the key, and relationship of these two data were analyzed. The result showed correlation of "openness" and signal strength on the whole, but does not explain all of fluctuation of signal strength. This owes to uncorrespondance of fish-eye photo and GPS orbit, which caused by bad photographing condition such as unhorizontalness of lens and north position error. But these error may happen usually when taking photographs in forest. So, the program was developed for forecasting number of GPS satellites under user-defined "openness" value and time interval. By using this program, the user can forecast when he (or she) can do GPS positioning at particular point, if he (or she) takes fish-eye photo of that point. This will help greatly to promote use of GPS in the forest area. Less
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Research Products
(2 results)
