Characterization of Irreversible Land Subsidence in the Yazd-Ardakan Plain, Iran from 2003 to 2020 InSAR Time Series
Authors/Creators
- 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
Additional details
Related works
- Is published in
- Journal article: 10.1029/2021JB022258 (DOI)