Exploring cloud-based platforms for rapid insar time series analysis

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dc.identifier.uri http://dx.doi.org/10.15488/14352
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/14469
dc.contributor.author Piter, A.
dc.contributor.author Vassileva, M.
dc.contributor.author Haghshenas Haghighi, M.
dc.contributor.author Motagh, M.
dc.contributor.editor Paparoditis, N.
dc.contributor.editor Mallet, C.
dc.contributor.editor Lafarge, F.
dc.contributor.editor Yang, M.Y.
dc.contributor.editor Jiang, J.
dc.contributor.editor Shaker, A.
dc.contributor.editor Zhang, H.
dc.contributor.editor Liang, X.
dc.contributor.editor Osmanoglu, B.
dc.contributor.editor Soergel, U.
dc.contributor.editor Honkavaara, E.
dc.contributor.editor Scaioni, M.
dc.contributor.editor Zhang, J.
dc.contributor.editor Peled, A.
dc.contributor.editor Wu, L.
dc.contributor.editor Li, R.
dc.contributor.editor Yoshimura, M.
dc.contributor.editor Di, K.
dc.contributor.editor Altan, O.
dc.contributor.editor Abdulmuttalib, H.M.
dc.contributor.editor Faruque, F.S.
dc.date.accessioned 2023-07-28T06:35:45Z
dc.date.available 2023-07-28T06:35:45Z
dc.date.issued 2021
dc.identifier.citation Piter, A.; Vassileva, M.; Haghshenas Haghighi, M.; Motagh, M.: Exploring cloud-based platforms for rapid insar time series analysis. In: Paparoditis, N.; Mallet, C.; Lafarge, F.; Yang, M.Y.; Jiang, J. et al. (Eds.): XXIV ISPRS Congress "Imaging today, foreseeing tomorrow", Commission III. Katlenburg-Lindau : Copernicus Publications, 2021 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B3-2021), S. 171-176. DOI: https://doi.org/10.5194/isprs-archives-xliii-b3-2021-171-2021
dc.description.abstract The idea of near real-time deformation analysis using Synthetic Aperture Radar (SAR) data as a response to natural and anthropogenic disasters has been an interesting topic in the last years. A major limiting factor for this purpose has been the non-availability of both spatially and temporally homogeneous SAR datasets. This has now been resolved thanks to the SAR data provided by the Sentinel-1A/B missions, freely available at a global scale via the Copernicus program of the European Space Agency (ESA). Efficient InSAR analysis in the era of Sentinel demands working with cloud-based platforms to tackle problems posed by large volumes of data. In this study, we explore a variety of existing cloud-based platforms for Multioral Interferometric SAR (MTI) analysis and discuss their opportunities and limitations. eng
dc.language.iso eng
dc.publisher Katlenburg-Lindau : Copernicus Publications
dc.relation.ispartof XXIV ISPRS Congress "Imaging today, foreseeing tomorrow", Commission III
dc.relation.ispartofseries The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B3-2021
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Big data eng
dc.subject Cloud platform eng
dc.subject Deformation eng
dc.subject InSAR eng
dc.subject Time series analysis eng
dc.subject.classification Konferenzschrift ger]
dc.subject.ddc 550 | Geowissenschaften
dc.title Exploring cloud-based platforms for rapid insar time series analysis eng
dc.type BookPart
dc.type Text
dc.relation.essn 2194-9034
dc.relation.doi https://doi.org/10.5194/isprs-archives-xliii-b3-2021-171-2021
dc.bibliographicCitation.volume XLIII-B3-2021
dc.bibliographicCitation.firstPage 171
dc.bibliographicCitation.lastPage 176
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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