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UID:pretalx-qgis-uc2026-FFNU9B@talks.osgeo.org
DTSTART;TZID=CET:20261006T100000
DTEND;TZID=CET:20261006T103000
DESCRIPTION:Urban ground deformation is an often overlooked but critical is
 sue in rapidly developing coastal cities\, particularly in arid regions wh
 ere groundwater extraction and land modification are common. While time-se
 ries InSAR techniques are widely used in research\, their integration into
  practical geospatial workflows for city-level applications remains limite
 d.\nThis presentation demonstrates how time-series InSAR results can be ef
 fectively integrated into the QGIS environment to support ground deformati
 on monitoring in Dammam\, Saudi Arabia. Using Sentinel-1 data from 2017 to
  2025\, more than 1\,500 interferograms were processed through an open-sou
 rce workflow combining ASF HyP3\, ISCE2\, and MintPy. The analysis reveals
  localized subsidence with rates reaching up to −1.7 cm/year\, forming a
  spatially coherent deformation pattern.\nThe focus of this work is on tra
 nsforming these advanced remote sensing outputs into actionable geospatial
  information within QGIS. InSAR-derived products\, including cumulative di
 splacement maps\, velocity layers\, and time-series point data\, are impor
 ted and managed in QGIS to enable visualization\, spatial analysis\, and i
 ntegration with urban datasets. This allows users to identify deformation-
 prone zones and relate them to infrastructure\, land use\, and drainage sy
 stems.\nA validation step using historical optical imagery shows that dete
 cted deformation corresponds to real surface changes\, including infilled 
 depressions and post-construction consolidation. This highlights the capab
 ility of QGIS to serve as a central platform for combining multi-source ge
 ospatial data into a coherent monitoring framework.\nThe presented workflo
 w demonstrates how open-source tools can bridge the gap between advanced s
 atellite analysis and practical urban management. It provides a scalable a
 nd cost-effective approach for municipalities and organizations seeking to
  incorporate ground deformation monitoring into their geospatial decision-
 making processes using QGIS.
DTSTAMP:20260724T192759Z
LOCATION:Pegna
SUMMARY:Integrating Time Series InSAR into QGIS using Open Source Remote Se
 nsing Technology for Ground Deformation Monitoring - Sultan Hasan Alsultan
URL:https://talks.osgeo.org/qgis-uc2026/talk/FFNU9B/
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