Details
| Original language | English |
|---|---|
| Pages (from-to) | 171-176 |
| Number of pages | 6 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 43 |
| Issue number | B3-2021 |
| Publication status | Published - 28 Jun 2021 |
| Event | 2021 24th ISPRS Congress Commission III: Imaging Today, Foreseeing Tomorrow - Nice, France Duration: 5 Jul 2021 → 9 Jul 2021 |
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.
Keywords
- Big data, Cloud platform, Deformation, InSAR, Time series analysis
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 43, No. B3-2021, 28.06.2021, p. 171-176.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Exploring cloud-based platforms for rapid insar time series analysis
AU - Piter, A.
AU - Vassileva, M.
AU - Haghshenas Haghighi, M.
AU - Motagh, M.
N1 - Funding Information: Our future work includes the project SAR4Infra funded by the Federal Ministry of Transport and Digital Infrastructure and DLR. It aims at developing an automated system for assessing the stability of traffic infrastructure in Germany in near real-time. An automated InSAR time series processing chain will be implemented on CODE-DE, as it offers great customizabil-ity and data availability over Germany which is required for the research project. Notably, CODE-DE is primarily dedicated to the operational users of our process chain, the German federal and state authorities, and thus CODE-DE is a key element for the success of the project.
PY - 2021/6/28
Y1 - 2021/6/28
N2 - 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.
AB - 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.
KW - Big data
KW - Cloud platform
KW - Deformation
KW - InSAR
KW - Time series analysis
UR - http://www.scopus.com/inward/record.url?scp=85115829765&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B3-2021-171-2021
DO - 10.5194/isprs-archives-XLIII-B3-2021-171-2021
M3 - Conference article
AN - SCOPUS:85115829765
VL - 43
SP - 171
EP - 176
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - B3-2021
T2 - 2021 24th ISPRS Congress Commission III: Imaging Today, Foreseeing Tomorrow
Y2 - 5 July 2021 through 9 July 2021
ER -