Monitoring Rapid Land Subsidence in Chandigarh District in North Indian Region Using MT-InSAR Technique

The research is focused on investigating the over-extraction of groundwater-induced rapid aquifer compaction in Chandigarh City of North India. We generated a vertical land motion map by processing 175 and 170 scenes of ascending and descending passes of Sentinel-1 SAR sensor data of the European Space Agency (ESA) covering the study area from 2016 to 2022, respectively. The MT-InSAR processing was carried out for each data stack using an open-source GMTSAR program following Small BAseline Subset (SBAS) technique for deformation monitoring. The results depict about $12 \mathrm{~cm} / \mathrm{yr}$ of fast land subsidence observed in the southern part of Chandigarh City. The negative decline of head level over the city is observed about 10 meters below ground level (mbgl) from 2002 to 2022. This investigation will provide important information concerning the region’s possible groundwater depletion zone and potential geohazards of damage to the infrastructures.

Authors

Institutions

Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10984261
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monitoring Rapid Land Subsidence in Chandigarh District in North Indian Region Using MT-InSAR Technique

Shivam Chawla, Chandrakanta Ojha
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Monitoring Rapid Land Subsidence in Chandigarh District in North Indian Region Using MT-InSAR Technique

Shivam Chawla, Chandrakanta Ojha
article en

Abstract

The research is focused on investigating the over-extraction of groundwater-induced rapid aquifer compaction in Chandigarh City of North India. We generated a vertical land motion map by processing 175 and 170 scenes of ascending and descending passes of Sentinel-1 SAR sensor data of the European Space Agency (ESA) covering the study area from 2016 to 2022, respectively. The MT-InSAR processing was carried out for each data stack using an open-source GMTSAR program following Small BAseline Subset (SBAS) technique for deformation monitoring. The results depict about $12 \mathrm{~cm} / \mathrm{yr}$ of fast land subsidence observed in the southern part of Chandigarh City. The negative decline of head level over the city is observed about 10 meters below ground level (mbgl) from 2002 to 2022. This investigation will provide important information concerning the region’s possible groundwater depletion zone and potential geohazards of damage to the infrastructures.

Indian Institute of Science Education and Research Mohali (IN)
Climate action
Openalex Percentile: Top 51%
Synthetic Aperture Radar (SAR) Applications and Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.