UAV-borne profiling radar for forest research

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorChen, Yuwei
dc.contributor.authorHakala, Teemu
dc.contributor.authorKarjalainen, Mika
dc.contributor.authorFeng, Ziyi
dc.contributor.authorTang, Jian
dc.contributor.authorLitkey, Paula
dc.contributor.authorKukko, Antero
dc.contributor.authorJaakkola, Anttoni
dc.contributor.authorHyyppä, Juha
dc.contributor.departmentFinnish Geospatial Research Institute
dc.contributor.departmentAalto University
dc.contributor.departmentWuhan University
dc.contributor.departmentMeMo
dc.contributor.departmentDepartment of Communications and Networkingen
dc.date.accessioned2018-05-22T14:40:26Z
dc.date.available2018-05-22T14:40:26Z
dc.date.issued2017
dc.description.abstractMicrowave 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.description.versionPeer revieweden
dc.format.extent17
dc.format.mimetypeapplication/pdf
dc.identifier.citationChen , 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 . https://doi.org/10.3390/rs9010058en
dc.identifier.doi10.3390/rs9010058
dc.identifier.issn2072-4292
dc.identifier.otherPURE UUID: 7b1b9fed-1813-4a40-a4ff-8d6e503f863c
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/7b1b9fed-1813-4a40-a4ff-8d6e503f863c
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85010634297&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/20587943/remotesensing_09_00058.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/31000
dc.identifier.urnURN:NBN:fi:aalto-201805222440
dc.language.isoenen
dc.relation.ispartofseriesRemote Sensingen
dc.relation.ispartofseriesVolume 9, issue 1en
dc.rightsopenAccessen
dc.subject.keywordALS
dc.subject.keywordForest inventory
dc.subject.keywordProfile radar
dc.subject.keywordUAV
dc.titleUAV-borne profiling radar for forest researchen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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