<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20251218</CreaDate>
<CreaTime>11011500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>La méthode permet d'obtenir une vue d'ensemble de l'état écomorphologique des rives lacustres, sur laquelle pourra s'appuyer la planification cantonale stratégique des revitalisations des rives.&lt;br /&gt;L'écomorphologie des rives lacustres est décrite à l'aide de 17 indicateurs (voir EVAL_DETAILLEE).&lt;br /&gt;&lt;br /&gt;Le résultat est affiché sous forme de lignes de couleur continues le long de la rive. &lt;br /&gt;5 classes d'état écomorphologique peuvent être attribuées pour chaque troncon de rive :&lt;br /&gt;&lt;br /&gt;1. couleur bleue : naturelle/semi naturelle&lt;br /&gt;2. couleur verte : peu dégradée&lt;br /&gt;3. couleur jaune : dégradée&lt;br /&gt;4. couleur orange : très dégradée&lt;br /&gt;5. couleur rouge : artificielle</idAbs>
<searchKeys>
<keyword>Eaux intérieures</keyword>
<keyword>Environnement</keyword>
</searchKeys>
<idPurp>Écomorphologie du lac - Évaluation globale</idPurp>
<idCredit>© 2025 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Écomorphologie du lac - Évaluation globale</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
