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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-4-W18-2025-7-2026</article-id>
<title-group>
<article-title>Integration of Remote Sensing Data in Rain-on-Grid Flood Modelling and Post-Event Validation Using Orthophotos</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Akpınar</surname>
<given-names>Mustafa Berkay</given-names>
<ext-link>https://orcid.org/0000-0002-4815-8793</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>Akyürek</surname>
<given-names>Zuhal</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>HidroSAF Ltd., Middle East Technical University (METU) Technopolis, Türkiye</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>METU, Faculty of Engineering, Dept. of Civil Engineering, Türkiye</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>METU, Graduate School of Natural and Applied Sciences, Dept. of Geodetic and Geographic Information Technologies, Türkiye</addr-line>
</aff>
<pub-date pub-type="epub">
<day>27</day>
<month>01</month>
<year>2026</year>
</pub-date>
<volume>XLVIII-4/W18-2025</volume>
<fpage>7</fpage>
<lpage>11</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Mustafa Berkay Akpınar</copyright-statement>
<copyright-year>2026</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-4-W18-2025/7/2026/isprs-archives-XLVIII-4-W18-2025-7-2026.html">This article is available from https://isprs-archives.copernicus.org/articles/XLVIII-4-W18-2025/7/2026/isprs-archives-XLVIII-4-W18-2025-7-2026.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/XLVIII-4-W18-2025/7/2026/isprs-archives-XLVIII-4-W18-2025-7-2026.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLVIII-4-W18-2025/7/2026/isprs-archives-XLVIII-4-W18-2025-7-2026.pdf</self-uri>
<abstract>
<p>This study explores the integration of remote sensing data into rain-on-grid flood modelling, with a focus on post-event validation using high-resolution orthophotos. The aim is to assess the hydrologic and hydraulic characteristics of the flood event that occurred on August 11, 2021, in Ezine Creek, which flows through the Bozkurt district center located in the north of Kastamonu, Turkey. By comparing the simulated flood extent with observed flood boundaries extracted from orthophotos, the hydraulic model was calibrated to better represent the actual flood behaviour. The resulting hydrograph was then used in the downstream section, where hydraulic structures and debris that contributed to the flooding were explicitly modelled and compared against observed outcomes. This calibration process enabled the derivation of a realistic hydrograph for downstream boundary conditions in subsequent flood event simulations. The approach demonstrates the value of combining remote sensing and traditional hydraulic modelling for enhanced flood risk assessment and decision-making.</p>
</abstract>
<counts><page-count count="5"/></counts>
</article-meta>
</front>
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