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Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Hyyppä, Juha
dc.contributor.author Virtanen, Juho-Pekka
dc.contributor.author Jaakkola, Anttoni
dc.contributor.author Yu, Xiaowei
dc.contributor.author Hyyppä, Hannu
dc.contributor.author Liang, Xinlian
dc.date.accessioned 2018-02-09T10:03:16Z
dc.date.available 2018-02-09T10:03:16Z
dc.date.issued 2018-01
dc.identifier.citation Hyyppä , J , Virtanen , J-P , Jaakkola , A , Yu , X , Hyyppä , H & Liang , X 2018 , ' Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information ' , Forests , vol. 9 , no. 1 , 6 . https://doi.org/10.3390/f9010006 en
dc.identifier.issn 1999-4907
dc.identifier.other PURE UUID: 9dd0165f-1be0-47c9-9970-1d49946155f5
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/feasibility-of-google-tango-and-kinect-for-crowdsourcing-forestry-information(9dd0165f-1be0-47c9-9970-1d49946155f5).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/16829162/forests_09_00006.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/29928
dc.description.abstract In this paper, we demonstrate the feasibility of using the Microsoft Kinect and Google Tango frame-based depth sensors for individual tree stem measurements and reconstruction for the purpose of forest inventory. Conventionally field reference data in forest inventory are collected at tree and sample plot level by means of manual measurements (e.g., a caliper), which are both labor-intensive and time-consuming. In this study, color (i.e., red, green and blue channels, RGB) and range images acquired by a Kinect and Tango systems were processed and used to extract tree diameter measurements for the individual tree stems. For this, 121 reference stem diameter measurements were made with tape and caliper. Kinect-derived tree diameters agreed with tape measurements to a 1.90 cm root-mean-square error (RMSE). The stem curve from the ground to the diameter at breast height agreed with a bias of 0.7 cm and random error of 0.8 cm with respect to the reference trunk. For Tango measurements, the obtained stem diameters matched those from tape measurement with an RMSE of 0.73 cm, having an average bias of 0.3 cm. As highly portable and inexpensive systems, both Kinect and Tango provide an easy way to collect tree stem diameter and stem curve information vital to forest inventory. These inexpensive instruments may in future compete with both terrestrial and mobile laser scanning or conventional fieldwork using calipers or tape. Accuracy is adequate for practical applications in forestry. Measurements made using Kinect and Tango type systems could also be applied in crowdsourcing context. en
dc.format.extent 14
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries FORESTS en
dc.relation.ispartofseries Volume 9, issue 1 en
dc.rights openAccess en
dc.subject.other 113 Computer and information sciences en
dc.title Feasibility of Google Tango and Kinect for Crowdsourcing Forestry Information en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Finnish Geospatial Research Institute
dc.contributor.department Department of Built Environment
dc.subject.keyword laser radar
dc.subject.keyword Remote sensing
dc.subject.keyword Forestry
dc.subject.keyword Kinect
dc.subject.keyword DBH
dc.subject.keyword Point cloud
dc.subject.keyword Mobile laser scanning
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201802091425
dc.identifier.doi 10.3390/f9010006
dc.type.version publishedVersion

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