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<journal-meta>
<journal-id journal-id-type="publisher">ISPRS-Annals</journal-id>
<journal-title-group>
<journal-title>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">ISPRS-Annals</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2194-9050</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-annals-X-4-W8-2025-93-2026</article-id>
<title-group>
<article-title>Comparison precision of Classical Methods and Analytic Hierarchy Process (AHP) in evaluating parameters affecting flood risk (Case study: Dezful flood, April 2020)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ansari Basir</surname>
<given-names>Armaghan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Tarahi</surname>
<given-names>Ali Asghar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Remote Sensing and Geographic Information Systems, Kharazmi University</addr-line>
</aff>
<pub-date pub-type="epub">
<day>29</day>
<month>05</month>
<year>2026</year>
</pub-date>
<volume>X-4/W8-2025</volume>
<fpage>93</fpage>
<lpage>98</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Armaghan Ansari Basir</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-annals.copernicus.org/articles/X-4-W8-2025/93/2026/isprs-annals-X-4-W8-2025-93-2026.html">This article is available from https://isprs-annals.copernicus.org/articles/X-4-W8-2025/93/2026/isprs-annals-X-4-W8-2025-93-2026.html</self-uri>
<self-uri xlink:href="https://isprs-annals.copernicus.org/articles/X-4-W8-2025/93/2026/isprs-annals-X-4-W8-2025-93-2026.pdf">The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/X-4-W8-2025/93/2026/isprs-annals-X-4-W8-2025-93-2026.pdf</self-uri>
<abstract>
<p>This research compares two methods for evaluating parameters affecting flood risk in Dezful area: the Analytic Hierarchy Process (AHP) and the classical method (simple average). The parameters under consideration include soil permeability, drainage density, distance from the river, elevation, slope, and aspect. The AHP method utilize pairwise comparisons to weight the parameters, whereas classical method assigned equal weights to all parameters. The results calculate based on these respective methodologies.&lt;br /&gt;To assess the accuracy of the results, the Modified Normalized Difference Water Index (MNDWI) is extracted from the Landsat8-OLI sensor dated April 8, 2019, as the ground truth map, and Euclidean distance is used as the evaluation criterion. The results indicate that AHP has greater validity, with a Euclidean distance of 21.2, compare to 25.9 to classical method. The Mann-Whitney U test (U=12034.5, p&amp;lt;0.05) statistically confirms this difference. The findings demonstrate that AHP, in comparison to the classical approach, more accurately identifies distinct risk categories (ranging from vulnerable to critical) and achieves a more balanced classification of vulnerability levels. Furthermore, it mitigates the tendency toward extreme assessments observed in classical method. This study confirms that weighting parameters within the AHP framework significantly enhances the precision of flood risk assessment.</p>
</abstract>
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