EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS
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 homo...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/171/2021/isprs-archives-XLIII-B3-2021-171-2021.pdf |
| _version_ | 1818602659281633280 |
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| author | A. Piter M. Vassileva M. Vassileva M. Haghshenas Haghighi M. Motagh M. Motagh |
| author_facet | A. Piter M. Vassileva M. Vassileva M. Haghshenas Haghighi M. Motagh M. Motagh |
| author_sort | A. Piter |
| collection | DOAJ |
| description | 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 Multi-Temporal Interferometric SAR (MTI) analysis and discuss their opportunities and limitations. |
| first_indexed | 2024-12-16T13:10:47Z |
| format | Article |
| id | doaj.art-da0b24b5b260404f97e0e1d5d64bb4ae |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-16T13:10:47Z |
| publishDate | 2021-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-da0b24b5b260404f97e0e1d5d64bb4ae2022-12-21T22:30:37ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-06-01XLIII-B3-202117117610.5194/isprs-archives-XLIII-B3-2021-171-2021EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSISA. Piter0M. Vassileva1M. Vassileva2M. Haghshenas Haghighi3M. Motagh4M. Motagh5Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, GermanyInstitute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, GermanyGFZ German Research Centre for Geosciences, Section of Remote Sensing and Geoinformatics, 14473 Potsdam, GermanyInstitute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, GermanyInstitute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, GermanyGFZ German Research Centre for Geosciences, Section of Remote Sensing and Geoinformatics, 14473 Potsdam, GermanyThe 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 Multi-Temporal Interferometric SAR (MTI) analysis and discuss their opportunities and limitations.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/171/2021/isprs-archives-XLIII-B3-2021-171-2021.pdf |
| spellingShingle | A. Piter M. Vassileva M. Vassileva M. Haghshenas Haghighi M. Motagh M. Motagh EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS |
| title_full | EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS |
| title_fullStr | EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS |
| title_full_unstemmed | EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS |
| title_short | EXPLORING CLOUD-BASED PLATFORMS FOR RAPID INSAR TIME SERIES ANALYSIS |
| title_sort | exploring cloud based platforms for rapid insar time series analysis |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/171/2021/isprs-archives-XLIII-B3-2021-171-2021.pdf |
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