Details
| Original language | English |
|---|---|
| Pages (from-to) | 155-161 |
| Number of pages | 7 |
| 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
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 250×250km, 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 100m 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.
Keywords
- Big data, Hazard, InSAR, Land subsidence, Time series analysis
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 43, No. B3-2021, 28.06.2021, p. 155-161.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Land subsidence hazard in iran revealed by country-scale analysis of sentinel-1 insar
AU - Haghshenas Haghighi, M.
AU - Motagh, M.
PY - 2021/6/28
Y1 - 2021/6/28
N2 - 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 250×250km, 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 100m 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.
AB - 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 250×250km, 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 100m 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.
KW - Big data
KW - Hazard
KW - InSAR
KW - Land subsidence
KW - Time series analysis
UR - http://www.scopus.com/inward/record.url?scp=85115882088&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B3-2021-155-2021
DO - 10.5194/isprs-archives-XLIII-B3-2021-155-2021
M3 - Conference article
AN - SCOPUS:85115882088
VL - 43
SP - 155
EP - 161
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 -