Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation

Show simple item record

dc.contributor.author Wang, Yunsheng
dc.contributor.author Kukko, Antero
dc.contributor.author Hyyppä, Eric
dc.contributor.author Hakala, Teemu
dc.contributor.author Pyörälä, Jiri
dc.contributor.author Lehtomäki, Matti
dc.contributor.author El Issaoui, Aimad
dc.contributor.author Yu, Xiaowei
dc.contributor.author Kaartinen, Harri
dc.contributor.author Liang, Xinlian
dc.contributor.author Hyyppä, Juha
dc.date.accessioned 2021-03-04T10:02:01Z
dc.date.available 2021-03-04T10:02:01Z
dc.date.issued 2021-02-07
dc.identifier.citation Wang , Y , Kukko , A , Hyyppä , E , Hakala , T , Pyörälä , J , Lehtomäki , M , El Issaoui , A , Yu , X , Kaartinen , H , Liang , X & Hyyppä , J 2021 , ' Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation ' , Forest Ecosystems , vol. 8 , 10 . https://doi.org/10.1186/s40663-021-00290-3
dc.identifier.other PURE: 160884226
dc.identifier.other PURE UUID: 34cce8f2-b7c5-4e9a-8944-5e6fdce0db90
dc.identifier.other WOS: 000617442200001
dc.identifier.uri http://hdl.handle.net/10138/327496
dc.description.abstract BackgroundCurrent automated forest investigation is facing a dilemma over how to achieve high tree- and plot-level completeness while maintaining a high cost and labor efficiency. This study tackles the challenge by exploring a new concept that enables an efficient fusion of aerial and terrestrial perspectives for digitizing and characterizing individual trees in forests through an Unmanned Aerial Vehicle (UAV) that flies above and under canopies in a single operation. The advantage of such concept is that the aerial perspective from the above-canopy UAV and the terrestrial perspective from the under-canopy UAV can be seamlessly integrated in one flight, thus grants the access to simultaneous high completeness, high efficiency, and low cost.ResultsIn the experiment, an approximately 0.5ha forest was covered in ca. 10min from takeoff to landing. The GNSS-IMU based positioning supports a geometric accuracy of the produced point cloud that is equivalent to that of the mobile mapping systems, which leads to a 2-4cm RMSE of the diameter at the breast height estimates, and a 4-7cm RMSE of the stem curve estimates.ConclusionsResults of the experiment suggested that the integrated flight is capable of combining the high completeness of upper canopies from the above-canopy perspective and the high completeness of stems from the terrestrial perspective. Thus, it is a solution to combine the advantages of the terrestrial static, the mobile, and the above-canopy UAV observations, which is a promising step forward to achieve a fully autonomous in situ forest inventory. Future studies should be aimed to further improve the platform positioning, and to automatize the UAV operation. en
dc.format.extent 15
dc.language.iso eng
dc.relation.ispartof Forest Ecosystems
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Forest
dc.subject In situ
dc.subject Inventory
dc.subject Above canopy
dc.subject Under canopy
dc.subject Unmanned aerial vehicle
dc.subject Laser scanning
dc.subject Point cloud
dc.subject Close range remote sensing
dc.subject 4112 Forestry
dc.title Seamless integration of above- and under-canopy unmanned aerial vehicle laser scanning for forest investigation en
dc.type Article
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization Laboratory of Forest Resources Management and Geo-information Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1186/s40663-021-00290-3
dc.relation.issn 2095-6355
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

Files in this item

Total number of downloads: Loading...

Files Size Format View
s40663_021_00290_3.pdf 1.955Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record