Coseismic displacement analysis of the 12 november 2017 mw 7.3 sarpol-e zahab (iran) earthquake from sar interferometry, burst overlap interferometry and offset tracking

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Vajedian, S.; Motagh, M.: Coseismic displacement analysis of the 12 november 2017 mw 7.3 sarpol-e zahab (iran) earthquake from sar interferometry, burst overlap interferometry and offset tracking. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4 (2018), Nr. 3, S. 205-209. DOI: https://doi.org/10.5194/isprs-annals-IV-3-205-2018

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Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI: https://doi.org/10.15488/3439

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Interferometric wide-swath mode of Sentinel-1, which is implemented by Terrain Observation by Progressive Scan (TOPS) technique, is the main mode of SAR data acquisition in this mission. It aims at global monitoring of large areas with enhanced revisit frequency of 6 days at the expense of reduced azimuth resolution, compared to classical ScanSAR mode. TOPS technique is equipped by steering the beam from backward to forward along the heading direction for each burst, in addition to the steering along the range direction, which is the only sweeping direction in standard ScanSAR mode. This leads to difficulty in measuring along-track displacement by applying the conventional method of multi-aperture interferometry (MAI), which exploits a double difference interferometry to estimate azimuth offset. There is a possibility to solve this issue by a technique called "Burst Overlap Interferometry" which focuses on the region of burst overlap. Taking advantage of large squint angle diversity of ∼1° in burst overlapped area leads to improve the accuracy of ground motion measurement especially in along-track direction. We investigate the advantage of SAR Interferometry (InSAR), burst overlap interferometry and offset tracking to investigate coseismic deformation and coseismic-induced landslide related to 12 November 2017 Mw 7.3 Sarpol-e Zahab earthquake in Iran. © Authors 2018.
Lizenzbestimmungen: CC BY 3.0 Unported
Publikationstyp: Article
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2018
Die Publikation erscheint in Sammlung(en):Fakultät für Bauingenieurwesen und Geodäsie

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Pos. Land Downloads
Anzahl Proz.
1 image of flag of Germany Germany 146 31,74%
2 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 53 11,52%
3 image of flag of China China 50 10,87%
4 image of flag of United States United States 45 9,78%
5 image of flag of Hong Kong Hong Kong 21 4,57%
6 image of flag of United Kingdom United Kingdom 17 3,70%
7 image of flag of No geo information available No geo information available 10 2,17%
8 image of flag of Taiwan Taiwan 10 2,17%
9 image of flag of Italy Italy 10 2,17%
10 image of flag of India India 8 1,74%
    andere 90 19,57%

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