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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Archives</journal-id>
<journal-title-group>
<journal-title>The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Archives</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9034</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/isprs-archives-XLVIII-5-W3-2025-125-2025</article-id>
<title-group>
<article-title>Spatial-temporal Analysis of Land Subsidence in Jizan Province for 2019–2024</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shults</surname>
<given-names>Roman</given-names>
<ext-link>https://orcid.org/0000-0003-2581-517X</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Adem</surname>
<given-names>Esubalew</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Interdisciplinary Research Center for Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, 34463 Dhahran, Saudi Arabia</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Space Science and Geospatial Institute, Addis Ababa, Ethiopia</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>11</month>
<year>2025</year>
</pub-date>
<volume>XLVIII-5/W3-2025</volume>
<fpage>125</fpage>
<lpage>130</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Roman Shults</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-5-W3-2025/125/2025/isprs-archives-XLVIII-5-W3-2025-125-2025.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-5-W3-2025/125/2025/isprs-archives-XLVIII-5-W3-2025-125-2025.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-5-W3-2025/125/2025/isprs-archives-XLVIII-5-W3-2025-125-2025.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-5-W3-2025/125/2025/isprs-archives-XLVIII-5-W3-2025-125-2025.pdf</self-uri>
<abstract>
<p>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 &amp;minus;13 &amp;plusmn; 2 mm/year for sediments to +9 &amp;plusmn; 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.</p>
</abstract>
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