Land cover and forest mapping in boreal zone using polarimetric and interferometric SAR data

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Antropov, Oleg
dc.date.accessioned 2014-01-09T10:00:07Z
dc.date.available 2014-01-09T10:00:07Z
dc.date.issued 2014
dc.identifier.isbn 978-952-60-5523-7 (electronic)
dc.identifier.isbn 978-952-60-5522-0 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/11989
dc.description.abstract Remote sensing offers a wide range of instruments suitable to meet the growing need for consistent, timely and cost-effective monitoring of land cover and forested areas. One of the most important instruments is synthetic aperture radar (SAR) technology, where transfer of advanced SAR imaging techniques from mostly experimental small test-area studies to satellites enables improvements in remote assessment of land cover on a global scale. Globally, forests are very suitable for remote sensing applications due to their large dimensions and relatively poor accessibility in distant areas. In this thesis, several methods were developed utilizing Earth observation data collected using such advanced SAR techniques, as well as their application potential was assessed. The focus was on use of SAR polarimetry and SAR interferometry to improve performance and robustness in assessment of land cover and forest properties in the boreal zone. Particular advances were achieved in land cover classification and estimating several key forest variables, such as forest stem volume and forest tree height. Important results reported in this thesis include: improved polarimetric SAR model-based decomposition approach suitable for use in boreal forest at L-band; development and demonstration of normalization method for fully polarimetric SAR mosaics, resulting in improved classification performance and suitable for wide-area mapping purposes; establishing new inversion procedure for robust forest stem volume retrieval from SAR data; developing semi-empirical method and demonstrating potential for soil type separation (mineral soil, peatland) under forested areas with L-band polarimetric SAR; developing and demonstrating methodology for simultaneous retrieval of forest tree height and radiowave attenuation in forest layer from inter-ferometric SAR data, resulting in improved accuracy and more stable estimation of forest tree height. en
dc.format.extent 165
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 3/2014
dc.relation.haspart [Publication 1]: Oleg Antropov, Yrjö Rauste, Tuomas Häme, “Volume scattering modeling in PolSAR decompositions: Study of ALOS PALSAR data over boreal forest,” IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 10, part 2, pp. 3838–3848, Oct. 2011.
dc.relation.haspart [Publication 2]: Oleg Antropov, Yrjö Rauste, Anne Lönnqvist, Tuomas Häme, “PolSAR mosaic normalization for improved land-cover mapping,” IEEE Geoscience and Remote Sensing Letters, vol. 9, no. 6, pp. 1074–1078, Nov. 2012.
dc.relation.haspart [Publication 3]: Oleg Antropov, Yrjö Rauste, Heikki Ahola, Tuomas Häme, “Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-band,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 1, pp. 35–44, Feb. 2013.
dc.relation.haspart [Publication 4]: Oleg Antropov, Yrjö Rauste, Heikki Astola, Jaan Praks, Tuomas Häme, Martti Hallikainen, “Land cover and soil type mapping from spaceborne PolSAR data at L-band with probabilistic neural network,” IEEE Transactions on Geoscience and Remote Sensing, in press.
dc.relation.haspart [Publication 5]: Jaan Praks, Oleg Antropov, Martti Hallikainen, “LIDAR-aided SAR interferometry studies in boreal forest: Scattering phase center and extinction coefficient at X- and L-band,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 10, pp. 3831–3843, Oct. 2012.
dc.subject.other Space technology en
dc.title Land cover and forest mapping in boreal zone using polarimetric and interferometric SAR data en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Radiotieteen ja -tekniikan laitos fi
dc.contributor.department Department of Radio Science and Engineering en
dc.subject.keyword Synthetic Aperture Radar en
dc.subject.keyword SAR polarimetry en
dc.subject.keyword SAR interferometry en
dc.subject.keyword scattering model en
dc.subject.keyword land cover en
dc.subject.keyword boreal forest en
dc.subject.keyword tree height en
dc.subject.keyword forest stem volume en
dc.identifier.urn URN:ISBN:978-952-60-5523-7
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Hallikainen, Martti, Prof., Aalto University, Department of Radio Science and Engineering, Finland
dc.opn Hajnsek, Irena, Prof., ETH Zürich, Switzerland, and German Aerospace Center (DLR), Germany
dc.date.dateaccepted 2013-12-17
dc.rev Tomppo, Erkki, Prof., Finnish Forest Research Institute (Metla), Finland
dc.rev Siqueira, Paul, Dr., University of Massachusetts, USA
dc.date.defence 2014-01-14


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search archive


Advanced Search

article-iconSubmit a publication

Browse

My Account