Correct link in index

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@@ -365,7 +365,7 @@ <h1 id="swiss-territorial-data-lab-stdl">Swiss Territorial Data Lab - STDL<a cla
 <h2 id="exploratory-projects">Exploratory Projects<a class="headerlink" href="#exploratory-projects" title="Permanent link">&para;</a></h2>
 <p>Exploratory projects in the field of the Swiss territorial data are conducted at the demand of institutions or actors of the Swiss territory. The exploratory projects are conducted with the supervision of the principal in order to closely analyze the answers to the specifications along the project. The goal of exploratory project aims to provide proof-of-concept and expertise in the application of technologies to Swiss territorial data.</p>
 <details class="abstract" open="open">
-<summary><a href="PROJ-DQRY-TM/"><span style="text-transform:uppercase; font-weight:bold;"> Cross-generational change detection in classified LiDAR point clouds for a semi-automated quality control </span> <br/> April 2024</a></summary>
+<summary><a href="PROJ-QALIDAR/"><span style="text-transform:uppercase; font-weight:bold;"> Cross-generational change detection in classified LiDAR point clouds for a semi-automated quality control </span> <br/> April 2024</a></summary>
 <p><strong>Nicolas Münger (Uzufly) - Gwenaëlle Salamin (ExoLabs) - Alessandro Cerioni (Canton of Geneva) - Roxane Pott (swisstopo)</strong> <br /> Proposed by the Federal Office of Topography swisstopo - PROJ-QALIDAR <br /> <br /> <em>The acquisition of LiDAR data has become standard practice at national and cantonal levels during the recent years in Switzerland. In 2024, swisstopo will complete a comprehensive campaign of 6 years covering the whole Swiss territory. The produced point clouds are classified post-acquisition, i.e. each point is attributed to a certain category, such as "building" or "vegetation". Despite the global control performed by providers, local inconsistencies in the classification persist. To ensure the quality of a Swiss-wide product, extensive time is invested by swisstopo in the control of the classification. This project aims to highlight changes in a new point cloud compared to a previous generation acting as reference. We propose here a method where a common grid is defined for the two generations of point clouds and their information is converted in voxels, summarizing the distribution of classes and comparable one-to-one. This method highlights zones of change by clustering the concerned voxels. Experts of the swisstopo LiDAR team declared themselves satisfied with the precision of the method.</em></p>
 <p><div style="text-align: right"><a class="md-button" href="PROJ-QALIDAR/">Full article</a></div></p>
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