UAV-borne profiling radar for forest research

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Chen, Yuwei
dc.contributor.author Hakala, Teemu
dc.contributor.author Karjalainen, Mika
dc.contributor.author Feng, Ziyi
dc.contributor.author Tang, Jian
dc.contributor.author Litkey, Paula
dc.contributor.author Kukko, Antero
dc.contributor.author Jaakkola, Anttoni
dc.contributor.author Hyyppä, Juha
dc.date.accessioned 2018-05-22T14:40:26Z
dc.date.available 2018-05-22T14:40:26Z
dc.date.issued 2017
dc.identifier.citation Chen , Y , Hakala , T , Karjalainen , M , Feng , Z , Tang , J , Litkey , P , Kukko , A , Jaakkola , A & Hyyppä , J 2017 , ' UAV-borne profiling radar for forest research ' Remote Sensing , vol 9 , no. 1 , 58 . DOI: 10.3390/rs9010058 en
dc.identifier.issn 2072-4292
dc.identifier.other PURE UUID: 7b1b9fed-1813-4a40-a4ff-8d6e503f863c
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/uavborne-profiling-radar-for-forest-research(7b1b9fed-1813-4a40-a4ff-8d6e503f863c).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85010634297&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/20587943/remotesensing_09_00058.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/31000
dc.description.abstract Microwave Radar is an attractive solution for forest mapping and inventories because microwave signals penetrates into the forest canopy and the backscattering signal can provide information regarding the whole forest structure. Satellite-borne and airborne imaging radars have been used in forest resources mapping for many decades. However, their accuracy with respect to the main forest inventory attributes substantially varies depending on the wavelength and techniques used in the estimation. Systems providing canopy backscatter as a function of canopy height are, practically speaking, missing. Therefore, there is a need for a radar system that would enable the scientific community to better understand the radar backscatter response from the forest canopy. Consequently, we undertook a research study to develop an unmanned aerial vehicle (UAV)-borne profiling (i.e., waveform) radar that could be used to improve the understanding of the radar backscatter response for forestry mapping and inventories. A frequency modulation continuous waveform (FMCW) profiling radar, termed FGI-Tomoradar, was introduced, designed and tested. One goal is the total weight of the whole system is less than 7 kg, including the radar system and georeferencing system, with centimetre-level positioning accuracy. Achieving this weight goal would enable the FGI-Tomoradar system to be installed on the Mini-UAV platform. The prototype system had all four linear polarization measuring capabilities, with bistatic configuration in Ku-band. In system performance tests in this study, FGI-Tomoradar was mounted on a manned helicopter together with a Riegl VQ-480-U laser scanner and tested in several flight campaigns performed at the Evo site, Finland. Airborne laser scanning data was simultaneously collected to investigate the differences and similarities of the outputs for the same target area for better understanding the penetration of the microwave signal into the forest canopy. Preliminary analysis confirmed that the profiling radar measures a clear signal from the canopy structure and has substantial potential to improve our understanding of radar forest mapping using the UAV platform. en
dc.format.extent 17
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Remote Sensing en
dc.relation.ispartofseries Volume 9, issue 1 en
dc.rights openAccess en
dc.subject.other Earth and Planetary Sciences(all) en
dc.subject.other 213 Electronic, automation and communications engineering, electronics en
dc.title UAV-borne profiling radar for forest research en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Real Estate, Planning and Geoinformatics
dc.contributor.department Finnish Geospatial Research Institute
dc.contributor.department Aalto University
dc.contributor.department Wuhan University
dc.contributor.department MeMo
dc.contributor.department School services, ENG
dc.contributor.department Department of Communications and Networking en
dc.subject.keyword ALS
dc.subject.keyword Forest inventory
dc.subject.keyword Profile radar
dc.subject.keyword UAV
dc.subject.keyword Earth and Planetary Sciences(all)
dc.subject.keyword 213 Electronic, automation and communications engineering, electronics
dc.identifier.urn URN:NBN:fi:aalto-201805222440
dc.identifier.doi 10.3390/rs9010058
dc.type.version publishedVersion


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