Estimate of GNSS rapid static method precision in forest enviroment | Odhad presnosti rýchlej statickej metódy GNSS v lesnom prostredí
2011
Kamenský, P., Technical University in Zvolen (Slovak Republic). Faculty of Forestry | Žíhlavník, Š.
The forest characteristics variability causes different conditions for satellite signal reception at various measuring stands at Global Navigation Satellite Systems (GNSS) application. Detail investigation of external measuring conditions is therefore appropriate for generalization of forest influence on GNSS technology precision at position determination by terrain measurements. We observed the influence of the following factors: stocking degree, trees height, percentage of visible sky, shading trees distance and their thickness, observed satellites number, HDOP, vegetation aspect and stand type, slope and exposure by application of rapid static method with survey-grade GNSS receiver TOPCON Hiper GGD. For data analysis we used regression and correlation analysis, ANOVA and neural networks method. We came to know that the final position determination accuracy is the most influenced by the shading trees distance and their thickness, observed satellites number and vegetation aspect in deciduous forest. The constructed predictional models are unfit for practical usage. The varying level of signal noise at multiple measurements measured at the same stands is the supposed reason for the low percentage of resolved variability values, by which are characterized position accuracy with predictional models. Potentially better results can be obtained by mapping-grade GNSS receivers of the new generation, which have sophisticatcd algoritbms of position determination in difficult conditions of surveying. The difficult surveying conditions are typically for forest enviroment.
اظهر المزيد [+] اقل [-]الكلمات المفتاحية الخاصة بالمكنز الزراعي (أجروفوك)
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