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Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Land Subsidence in Iran Estimated from a Nationwide InSAR Analysis of Sentinel-1 Observations 2014-2020

فرونشست زمین در ایران برآورد شده از تحلیل سراسری اینسار از مشاهدات سنتینل-۱، ۲۰۱۴-۲۰۲۰
Authors: H Haghighi, Mahmud; Motagh, Mahdi;

Land Subsidence in Iran Estimated from a Nationwide InSAR Analysis of Sentinel-1 Observations 2014-2020

Abstract

Overview This dataset is a supplementary material to the paper "Haghighi and Motagh, 2024. Uncovering the Impacts of Depleting Aquifers: A Remote Sensing Analysis of Land Subsidence in Iran, Science Advances". It provides detailed insights into land subsidence across Iran, derived from Sentinel-1 InSAR observations. This dataset is intended for use by researchers, policymakers, and practitioners interested in land subsidence, groundwater depletion, and related fields. Dataset Contents Iran_subsidence_rate_2014-2020_Sentinel-1_InSAR_desc_v1.0.0.tifAnnual rate of land subsidence in Iran over the six-year period, projected from satellite Line of Sight to vertical. Iran_subsidence_rate_2014-2020_Sentinel-1_InSAR_desc_v1.0.0.jpgSubsidence map of Iran visualized as jpg Iran_subsidence_seasonal_amplitude_2014-2020_Sentinel-1_InSAR_desc_v1.0.0.tifAmplitude of seasonal ground deformation, projected from satellite Line of Sight to vertical. Iran_subsidence_mask_2014-2020_Sentinel-1_InSAR_desc_v1.0.0.tifLand subsidence mask, based on the annual rate of land subsidence. Methodology The data were derived using Interferometric Synthetic Aperture Radar (InSAR) analysis of Sentinel-1 satellite imagery. The original SAR data includes more than 6000 scenes of Sentinel-1 images collected across 10 descending tracks between 2014 and 2020. The details can be found in the original paper. Acknowledgements We acknowledge the European Space Agency (ESA) for providing the Sentinel-1 satellite data used in this analysis. License This dataset is shared under CC BY 4.0 license, which allows for reuse and distribution, provided that the original authors and source are credited. Citation Please cite the following if you use this dataset: Haghighi and Motagh, 2024. Uncovering the Impacts of Depleting Aquifers: A Remote Sensing Analysis of Land Subsidence in Iran, Science Advances. Haghighi and Motagh, 2024. Land Subsidence in Iran Estimated from a Nationwide InSAR Analysis of Sentinel-1 Observations 2014-2020. Zenodo. doi:10.5281/zenodo.10815578 The dataset contains modified Copernicus Sentinel data 2014-2020, processed by ESA. Contact Please contact Mahmud Haghighi for inquiries related to this dataset.https://www.ipi.uni-hannover.de/en/haghighi

Related Organizations
Keywords

InSAR, SBAS, Land subsidence, Sentinel-1, Large scale, Iran, Groundwater, Small Baselines

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average