Spatial-temporal Analysis of Land Subsidence in Jizan Province for 2019–2024

Abstract. This study provides a vertical displacement analysis of Jizan Province, Saudi Arabia, using InSAR-derived time-series data processed with the Short Baseline Subset (SBAS) technique. Vertical displacements were examined through a simple trajectory model and a spatiotemporal model based on distributed scatterer observations. The research focused solely on remote sensing displacement measurements from 2019 to 2024. Displacement time series were analyzed for 80 spatially distributed points across areas with varying landslide susceptibility. Since the area was not affected by earthquakes during the study period, the simple trajectory model only indicates a general trend. Additionally, the time series was very noisy, making the standard extended trajectory model highly sensitive to local variations. Unlike the spatial-temporal analysis, forecasting with the extended trajectory model was unstable and unreliable. The spatial-temporal model successfully captured patterns of settlement and uplift. Estimated vertical velocities ranged from −13 ± 2 mm/year for sediments to +9 ± 2 mm/year for uplift, observed in regions with medium and high landslide activity. The remaining areas are stable. Temporal trends, obtained without external variables, show that displacements are mostly consistent with slow deformation typical of distributed scatterers in arid terrain. This displacement-only assessment provides fundamental insight into the kinematic behavior and serves as a baseline for future data-fusion models that incorporate environmental or human factors.

Authors

Institutions

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-11-12
DOI
https://doi.org/10.5194/isprs-archives-xlviii-5-w3-2025-125-2025
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

Spatial-temporal Analysis of Land Subsidence in Jizan Province for 2019–2024

Роман Володимирович Шульц, Esubalew Adem
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Synthetic Aperture Radar (SAR) Applications and Techniques
article

Spatial-temporal Analysis of Land Subsidence in Jizan Province for 2019–2024

Роман Володимирович Шульц, Esubalew Adem
article en

Abstract

Abstract. This study provides a vertical displacement analysis of Jizan Province, Saudi Arabia, using InSAR-derived time-series data processed with the Short Baseline Subset (SBAS) technique. Vertical displacements were examined through a simple trajectory model and a spatiotemporal model based on distributed scatterer observations. The research focused solely on remote sensing displacement measurements from 2019 to 2024. Displacement time series were analyzed for 80 spatially distributed points across areas with varying landslide susceptibility. Since the area was not affected by earthquakes during the study period, the simple trajectory model only indicates a general trend. Additionally, the time series was very noisy, making the standard extended trajectory model highly sensitive to local variations. Unlike the spatial-temporal analysis, forecasting with the extended trajectory model was unstable and unreliable. The spatial-temporal model successfully captured patterns of settlement and uplift. Estimated vertical velocities ranged from −13 ± 2 mm/year for sediments to +9 ± 2 mm/year for uplift, observed in regions with medium and high landslide activity. The remaining areas are stable. Temporal trends, obtained without external variables, show that displacements are mostly consistent with slow deformation typical of distributed scatterers in arid terrain. This displacement-only assessment provides fundamental insight into the kinematic behavior and serves as a baseline for future data-fusion models that incorporate environmental or human factors.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-5/W3-2025
King Fahd University of Petroleum and Minerals (SA)
Openalex Percentile: Top 55%
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.