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 |
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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 |
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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 |
|