Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals

dc.contributor.authorBrach, Michał
dc.contributor.authorStereńczak, Krzysztof
dc.contributor.authorBolibok, Leszek
dc.contributor.authorKwaśny, Łukasz
dc.contributor.authorKrok, Grzegorz
dc.contributor.authorLaszkowski, Michał
dc.date.accessioned2022-11-30T02:00:43Z
dc.date.available2022-11-30T02:00:43Z
dc.date.issued2019-05-04
dc.description© 2019 Michał Brach et al., published by Sciendo. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License - https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode . The Version of Scholarly Record of this Article is published in Folia Forestalia Polonica, Series A – Forestry, 2019, Vol. 61 (1), 3–21, available online at: https://sciendo.com/article/10.2478/ffp-2019-0001. Keywords: GNSS; multipath; random forest; Borut; forest structure; LiDAR; Europe; Poland.
dc.description.abstractThe GNSS (Global Navigation Satellite System) receivers are commonly used in forest management in order to determine objects coordinates, area or length assessment and many other tasks which need accurate positioning. Unfortunately, the forest structure strongly limits access to satellite signals, which makes the positioning accuracy much weak comparing to the open areas. The main reason for this issue is the multipath phenomenon of satellite signal. It causes radio waves reflections from surrounding obstacles so the signal do not reach directly to the GNSS receiver’s antenna. Around 50% of error in GNSS positioning in the forest is because of multipath effect. In this research study, an attempt was made to quantify the forest stand features that may influence the multipath variability. The ground truth data was collected in six Forest Districts located in different part of Poland. The total amount of data was processed for over 2,700 study inventory plots with performed GNSS measurements. On every plot over 25 forest metrics were calculated and over 25 minutes of raw GNSS observations (1500 epochs) were captured. The main goal of this study was to find the way of multipath quantification and search the relationship between multipath variability and forest structure. It was reported that forest stand merchantable volume is the most important factor which influence the multipath phenomenon. Even though the similar geodetic class GNSS receivers were used it was observed significant difference of multipath values in similar conditions.
dc.description.sponsorshipThis research was funded by REMBIOFOR project titled “Remote sensing estimation of tree biomass and coal resource in forests” and co-financed by resources provided by the National Centre for Research and Development, as part of the program titled “Natural environment, agriculture and forestry” BIOSTRATEG, as stated in agreement number BIOSTRATEG1/267755/4/NCBR/2015.
dc.identifier.citationBrach, M., Stereńczak, K., Bolibok, L. ,Kwaśny, Ł., Krok, G. & Laszkowski, M. (2019). Impacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals. Folia Forestalia Polonica, 61(1) 3-21. https://doi.org/10.2478/ffp-2019-0001
dc.identifier.otherhttps://doi.org/10.2478/ffp-2019-0001
dc.identifier.urihttps://hdl.handle.net/20.500.14096/107
dc.language.isoen
dc.publisherSciendo (De Gruyter)
dc.titleImpacts of forest spatial structure on variation of the multipath phenomenon of navigation satellite signals
dc.typeArticle
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