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<CreaDate>20260321</CreaDate>
<CreaTime>05380900</CreaTime>
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<idAbs>Le Modèle Numérique de surface de Canopée (MNC) représente la surface au sol recouverte par le feuillage des arbres. Cette surface peut être utilisée pour calculer l'indice de canopée en % d'un territoire afin d'en évaluer le degré d'arborisation. &lt;br /&gt;&lt;br /&gt;Cette donnée a été produite à partir de nuages de points LiDAR acquis en mars 2019 et d'une densité de 20-40 pts/m2. &lt;br /&gt;&lt;br /&gt;La production s'est déroulée en 4 principales étapes : &lt;br /&gt;&lt;br /&gt;1) Rasterisation du nuage de points LiDAR afin de créer un Modèle Numérique de Hauteur de canopée (MNHC)&lt;br /&gt;2) Vectorisation du MNHC (pixels à 3m et plus de hauteur) afin de créer le MNC&lt;br /&gt;3) Optimisation du rendu (élimination des polygones de moins de 2.5 m2, simplification des contours) &lt;br /&gt;4) Nettoyage manuel des polygones ne correspondant pas à du feuillage et issus d'une mauvaise classification du nuage de points LiDAR de départ.&lt;br /&gt;&lt;br /&gt;Le produit final représente donc la surface au sol recouverte par le feuillage des arbres ayant au moins 2.5 m2 de surface de canopée à au moins 3m de hauteur au début du mois de mars 2019. Il couvre tout le territoire du Canton de Genève.&lt;br /&gt;&lt;br /&gt;Malgré le soin apporté à la qualité de la donnée des anomalies résiduelles sont encore possibles comme :&lt;br /&gt;•Des erreurs sur la hauteur de la canopée,&lt;br /&gt;•Un décalage dans la projection de la canopée,&lt;br /&gt;•La non-détection de certains arbres,&lt;br /&gt;•La détection d'arbres inexistants ou disparus,&lt;br /&gt;•La détection de canopée sous serre.&lt;br /&gt;&lt;br /&gt;Cette donnée a été actualisée en 2024.</idAbs>
<searchKeys>
<keyword>Biologie</keyword>
</searchKeys>
<idPurp>Modèle numérique de surface de canopée - État 2019</idPurp>
<idCredit>© 2026 SITG</idCredit>
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<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
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<resTitle>Modèle numérique de surface de canopée - État 2019</resTitle>
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