<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<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-2-W10-2025-13-2025</article-id>
<title-group>
<article-title>Advanced Bathymetric Survey Using The Yellowscan Navigator: Applications in Erosion and Soil Movement Tracking</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Berthelot</surname>
<given-names>Johann</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>Gintz</surname>
<given-names>Alexandre</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>Kennel</surname>
<given-names>Pol</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>Doukkali</surname>
<given-names>Nassim</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>Allouis</surname>
<given-names>Tristan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Yellowscan, 525 Avenue Saint Sauveur du Pin, 34980 Saint-Clément-De-Rivière, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>07</day>
<month>07</month>
<year>2025</year>
</pub-date>
<volume>XLVIII-2/W10-2025</volume>
<fpage>13</fpage>
<lpage>18</lpage>
<permissions>
<copyright-statement>Copyright: © 2025 Johann Berthelot et al.</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/isprs-archives-XLVIII-2-W10-2025-13-2025.html">This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLVIII-2-W10-2025-13-2025.html</self-uri>
<self-uri xlink:href="https://isprs-archives.copernicus.org/articles/isprs-archives-XLVIII-2-W10-2025-13-2025.pdf">The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLVIII-2-W10-2025-13-2025.pdf</self-uri>
<abstract>
<p>In this paper, we present a practical application of a new bathymetric LiDAR sensor mounted on an unmanned aerial vehicle (UAV). Using the YellowScan Navigator, we conducted four data acquisition campaigns over the Herault River, each during different seasons. All flights followed the same plan, using the same UAV and sensor configuration to ensure consistency. This multi-temporal dataset allows us to monitor riverbed changes with a vertical accuracy of several centimeters. Our results demonstrate the sensor&amp;rsquo;s capability to detect subtle morphological variations in the riverbed, bridging the gap between traditional multi-echo sonar techniques and topographic LiDAR systems. This new tool offers a valuable addition to the geodetic toolbox for fluvial and environmental monitoring.</p>
</abstract>
<counts><page-count count="6"/></counts>
</article-meta>
</front>
<body/>
<back>
</back>
</article>
