Published July 30, 2021 | Version v1

Characterization of Irreversible Land Subsidence in the Yazd-Ardakan Plain, Iran from 2003 to 2020 InSAR Time Series

  • 1. Shanghai Astronomical Observatory, Chinese Academy of Sciences
  • 2. Physical Geography Department, University of Tehran
  • 3. Department of Earth and Planetary Science, University of California Berkeley
  • 4. Grupo de Investigación Microgeodesia Jaén (PAIDI RNM-282), Universidad de Jaén
  • 5. Wood Environment & Infrastructure Solutions
  • 6. Earth, Planetary, and Space Sciences, University of California
  • 7. Faculty of Architecture and Urban Planning, University of Art

Description

This repository contains the data used in Mirzadeh et al., 2021. It includes two InSAR time-series datasets from Envisat and Sentinel-1 satellite in both ascending and descending orbits, acquired over Yazd-Ardakan Plain, Iran, as well as, the population density information and weather data for this study area.

Dataset 1: Envisat ascending track 99 and descending track 20

  • Date: 06 Sep 2004 - 12 Jul 2010 (17 ascending acquisitions) + 26 Mar 2003 - 23 Oct 2010 (23 descending acquisitions)
  • Processor: ISCE/stripmapStack + MintPy
  • Displacement time-series (in HDF-EOS5 format): timeseries_LODcor_ERA5_ramp_demErr.h5
  • Mean LOS Velocity (in HDF-EOS5 format): velocity.h5
  • Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5
  • Geometry (in HDF-EOS5 format): geometryRadar.h5

Dataset 2: Sentinel-1 ascending track 130 and descending track 64

  • Date: 14 Oct 2014 - 28 Mar 2020 (129 ascending acquisitions) + 10 Oct 2014 - 24 Mar 2020 (119 descending acquisitions)
  • Processor: ISCE/topsStack + MintPy
  • Displacement time-series (in HDF-EOS5 format): timeseries_ERA5_ramp_demErr.h5
  • Mean LOS Velocity (in HDF-EOS5 format): velocity.h5
  • Mask Temporal Coherence (in HDF-EOS5 format): maskTempCoh.h5
  • Geometry (in HDF-EOS5 format): geometryRadar.h5

The time series and Mean LOS Velocity (MVL) products can be georeferenced and resampled using the makTempCoh and geometryRadar products, and the MintPy commands/functions.

Files

InSAR_Results.zip

Files (8.4 GB)

Name Size
md5:f2fc5caa5ad61dcc89b1fd3152bb9fa7
8.4 GB Preview Download
md5:16d0ea75ec5345d4e2440656316427c7
7.7 kB Preview Download
md5:88862f09e3a6bb84096d7994b456d054
329.9 kB Preview Download

Additional details

Related works

Is published in
Journal article: 10.1029/2021JB022258 (DOI)