GNSS technology position accuracy prediction in conditions of forest rides | Predikcia polohovej presnosti technológie GNSS v podmienkach lesných priesekov
2010
Kamenský, P., Technical University in Zvolen (Slovak Republic). Faculty of Forestry
Forest stand is frequently characterized by high variability in small area. The forest characteristics variability in space creates different conditions for satellite receipt on various measuring stands by GNSS technology application. Therefore detail investigation of influence of external measuring condition is needed for generalization of forest influence on GNSS technology accuracy at geodetic measurements and for possibility of prediction investigation of mentioned accuracy. By application of rapid static method with 3-minutes observational period at single stands we observed following factors: stocking degree, degree of density, percentage of visible sky, thickness and distance of shading trees, NA VST AR GPS satellites number and GLONASS satellites number. Predictional model was designed by application of multiple regression and correlation analysis. We came to know, that the final position determination accuracy is the most influenced by the satellite number of systems NA VST AR GPS, a next relevant factor is the stocking degree. Predictional model with better applicability can be obtained by using method with longer observational period and by carring out more measurements. An usage of sophisticated method of neural networks can be another alternative.
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