LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR
Many areas across Iran are subject to land subsidence, a sign of exceeding stress due to the over-extraction of groundwater during the past decades. This paper uses a huge dataset of Sentinel-1, acquired since 2014 in 66 image frames of 250 × 250 km, to ide...
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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-B3-2021/155/2021/isprs-archives-XLIII-B3-2021-155-2021.pdf |
| _version_ | 1819064719415181312 |
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| author | M. Haghshenas Haghighi M. Motagh M. Motagh |
| author_facet | M. Haghshenas Haghighi M. Motagh M. Motagh |
| author_sort | M. Haghshenas Haghighi |
| collection | DOAJ |
| description | Many areas across Iran are subject to land subsidence, a sign of exceeding stress due to the over-extraction of groundwater during the past decades. This paper uses a huge dataset of Sentinel-1, acquired since 2014 in 66 image frames of 250 × 250 km, to identify and monitor land subsidence across Iran. Using a two-step time series analysis, we first identify subsidence zones at a medium scale of 100 m across the country. For the first time, our results provide a comprehensive nationwide map of subsidence in Iran and recognize its spatial distribution and magnitude. Then, in the second step of analysis, we quantify the deformation time series at the highest possible resolution to study its impact on civil infrastructure. The results spots the hazard posed by land subsidence to different infrastructure. Examples of road and railways affected by land subsidence hazard in Tehran and Mashhad, two of the most populated cities in Iran, are presented in this study. |
| first_indexed | 2024-12-21T15:35:02Z |
| format | Article |
| id | doaj.art-196d1b31e2014a75acac376a70727ed7 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-21T15:35:02Z |
| 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-196d1b31e2014a75acac376a70727ed72022-12-21T18:58:39ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-06-01XLIII-B3-202115516110.5194/isprs-archives-XLIII-B3-2021-155-2021LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSARM. Haghshenas Haghighi0M. Motagh1M. Motagh2Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, GermanyInstitute of Photogrammetry and GeoInformation, Leibniz University Hannover, GermanyGFZ German Research Centre for Geosciences, Potsdam, GermanyMany areas across Iran are subject to land subsidence, a sign of exceeding stress due to the over-extraction of groundwater during the past decades. This paper uses a huge dataset of Sentinel-1, acquired since 2014 in 66 image frames of 250 × 250 km, to identify and monitor land subsidence across Iran. Using a two-step time series analysis, we first identify subsidence zones at a medium scale of 100 m across the country. For the first time, our results provide a comprehensive nationwide map of subsidence in Iran and recognize its spatial distribution and magnitude. Then, in the second step of analysis, we quantify the deformation time series at the highest possible resolution to study its impact on civil infrastructure. The results spots the hazard posed by land subsidence to different infrastructure. Examples of road and railways affected by land subsidence hazard in Tehran and Mashhad, two of the most populated cities in Iran, are presented in this study.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/155/2021/isprs-archives-XLIII-B3-2021-155-2021.pdf |
| spellingShingle | M. Haghshenas Haghighi M. Motagh M. Motagh LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR |
| title_full | LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR |
| title_fullStr | LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR |
| title_full_unstemmed | LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR |
| title_short | LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR |
| title_sort | land subsidence hazard in iran revealed by country scale analysis of sentinel 1 insar |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2021/155/2021/isprs-archives-XLIII-B3-2021-155-2021.pdf |
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