The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 155–161, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-155-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 155–161, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-155-2021
 
28 Jun 2021
28 Jun 2021

LAND SUBSIDENCE HAZARD IN IRAN REVEALED BY COUNTRY-SCALE ANALYSIS OF SENTINEL-1 INSAR

M. Haghshenas Haghighi1 and M. Motagh1,2 M. Haghshenas Haghighi and M. Motagh
  • 1Institute of Photogrammetry and GeoInformation, Leibniz University Hannover, Germany
  • 2GFZ German Research Centre for Geosciences, Potsdam, Germany

Keywords: Land subsidence, InSAR, Time series analysis, Hazard, Big data

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 × 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.