Seasonal effects on the estimation of height of boreal and deciduous forests from interferometric TanDEM-X coherence data

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorOlesk, Aireen_US
dc.contributor.authorVoormansik, Kaupoen_US
dc.contributor.authorTamm, Tanelen_US
dc.contributor.authorNoorma, Marten_US
dc.contributor.authorPraks, Jaanen_US
dc.contributor.departmentTartu Observatoryen_US
dc.contributor.departmentUniversity of Tartuen_US
dc.contributor.departmentDepartment of Radio Science and Engineeringen_US
dc.contributor.editorMichel, Ulrichen_US
dc.contributor.editorSchulz, Karstenen_US
dc.contributor.editorEhlers, Manfreden_US
dc.contributor.editorNikolakopoulos, Konstantinos G.en_US
dc.contributor.editorCivco, Danielen_US
dc.date.accessioned2018-12-10T10:12:17Z
dc.date.available2018-12-10T10:12:17Z
dc.date.issued2015en_US
dc.description.abstractThe aim of this study is to assess the performance of single-pass X-band bistatic SAR interferometric forest height estimation of boreal and temperate deciduous forests under variable seasonal conditions. For this, twelve acquisitions of single-and dual-polarized TanDEM-X coherence images over 118 forest stands were analyzed and compared against LiDAR forest height maps. Strong correlations were found between interferometric coherence magnitude and LiDAR derived forest stand height for pine forests (r2=0.94) and spruce forest (r2=0.87) as well as for deciduous trees (r2=0.94) during leaf-off conditions with temperatures below 0°C. It was found that coherence magnitude based forest height estimation is influenced by leaf-on and leaf-off conditions as well as daily temperature fluctuations, height of ambiguity and effective baseline. These factors alter the correlation and should be taken into account for accurate coherence-based height retrieval. Despite the influence of the mentioned factors, generally a strong relationship in regression analysis between X-band SAR coherence and LiDAR derived forest stand height can be found. Moreover, a simple semi empirical model, derived from Random Volume over Ground model, is presented. The model takes into account all imaging geometry dependent parameters and allows to derive tree height estimate without a priori knowledge. Our results show that X-band SAR interferometry can be used to estimate forest canopy height for boreal and deciduous forests in both summer and winter, but the conditions should be stable.en
dc.description.versionPeer revieweden
dc.format.extent1-8
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationOlesk , A , Voormansik , K , Tamm , T , Noorma , M & Praks , J 2015 , Seasonal effects on the estimation of height of boreal and deciduous forests from interferometric TanDEM-X coherence data . in U Michel , K Schulz , M Ehlers , K G Nikolakopoulos & D Civco (eds) , Earth Resources and Environmental Remote Sensing/GIS Applications VI : Proceedings of SPIE . , 964406 , SPIE - International Society for Optical Engineering. Proceedings , vol. 9644 , SPIE , pp. 1-8 , Earth Resources and Environmental Remote Sensing/GIS Applications , Toulouse , France , 22/09/2015 . https://doi.org/10.1117/12.2194340en
dc.identifier.doi10.1117/12.2194340en_US
dc.identifier.isbn9781628418545
dc.identifier.issn0277-786X
dc.identifier.otherPURE UUID: 2489d2ce-bfe0-45d2-a3d5-bd8eb23ecda3en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/2489d2ce-bfe0-45d2-a3d5-bd8eb23ecda3en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=84957082753&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/27194288/964406.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/34960
dc.identifier.urnURN:NBN:fi:aalto-201812105975
dc.language.isoenen
dc.publisherSPIE
dc.relation.ispartofEarth Resources and Environmental Remote Sensing/GIS Applicationsen
dc.relation.ispartofseriesEarth Resources and Environmental Remote Sensing/GIS Applications VIen
dc.relation.ispartofseriesSPIE - International Society for Optical Engineering. Proceedingsen
dc.relation.ispartofseriesVolume 9644en
dc.rightsopenAccessen
dc.subject.keywordForest heighten_US
dc.subject.keywordradar interferometryen_US
dc.subject.keywordsynthetic aperture radar (SAR)en_US
dc.subject.keywordTanDEM-Xen_US
dc.subject.keywordvegetation mappingen_US
dc.subject.keywordXbanden_US
dc.titleSeasonal effects on the estimation of height of boreal and deciduous forests from interferometric TanDEM-X coherence dataen
dc.typeConference article in proceedingsfi
dc.type.versionpublishedVersion
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