<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260211</CreaDate>
<CreaTime>10065300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<LyrxDate>2025-01-15T09:34:27.453745+00:00</LyrxDate>
</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>Environnement</keyword>
<keyword>Eaux intérieures</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_a8a4016efc414c649b053fea302011ba</keyword>
</searchKeys>
<idPurp>Écomorphologie du lac - Évaluation globale</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</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>
