dc.contributor.author | Talbot, Bruce | |
dc.contributor.author | Rahlf, Johannes | |
dc.contributor.author | Astrup, Rasmus Andreas | |
dc.date.accessioned | 2018-05-16T10:01:56Z | |
dc.date.available | 2018-05-16T10:01:56Z | |
dc.date.created | 2017-12-22T13:32:10Z | |
dc.date.issued | 2018-01-16 | |
dc.identifier.citation | Scandinavian Journal of Forest Research. 2018, 33 (4), 387-396. | nb_NO |
dc.identifier.issn | 0282-7581 | |
dc.identifier.uri | http://hdl.handle.net/11250/2498347 | |
dc.description.abstract | The effectiveness of generating virtual transects on unmanned aerial vehicle-derived orthomosaics was evaluated in estimating the extent of soil disturbance by severity class. Combinations of 4 transect lengths (5–50 m) and five sampling intensities (1–20 transects per ha) were used in assessing traffic intensity and the severity of soil disturbance on six post-harvest, cut-to-length (CTL) clearfell sites. In total, 15% of the 33 ha studied showed some trace of vehicle traffic. Of this, 63% of was categorized as light (no visible surface disturbance). Traffic intensity varied from 787 to 1256 m ha−1, with a weighted mean of 956 m ha−1, approximately twice the geometrical minimum achievable with CTL technology under perfect conditions. An overall weighted mean of 4.7% of the total site area was compromised by severe rutting. A high sampling intensity, increasing with decreasing incidence of soil disturbance, is required if mean estimation error is to be kept below 20%. The paper presents a methodology that can be generally applied in forest management or in similar land-use evaluations. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Taylor & Francis Group | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | drone | nb_NO |
dc.subject | aerial survey | nb_NO |
dc.subject | post-harvest | nb_NO |
dc.subject | logging | nb_NO |
dc.subject | wheel rutting | nb_NO |
dc.subject | site impact | nb_NO |
dc.title | An operational UAV-based approach for stand-level assessment of soil disturbance after forest harvesting | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | publishedVersion | nb_NO |
dc.rights.holder | © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group | nb_NO |
dc.source.pagenumber | 387-396 | nb_NO |
dc.source.volume | 33 | nb_NO |
dc.source.journal | Scandinavian Journal of Forest Research | nb_NO |
dc.source.issue | 4 | nb_NO |
dc.identifier.doi | 10.1080/02827581.2017.1418421 | |
dc.identifier.cristin | 1531557 | |
dc.relation.project | EC/H2020/720757 | nb_NO |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |