{"id":296,"date":"2023-02-06T13:08:34","date_gmt":"2023-02-06T13:08:34","guid":{"rendered":"https:\/\/uni-wp-backend.production.wordpress-linode.linode.unep-wcmc.org\/indicator\/vegetation-cover\/"},"modified":"2023-08-17T09:59:07","modified_gmt":"2023-08-17T08:59:07","slug":"vegetation-cover","status":"publish","type":"indicator","link":"https:\/\/urban-nature-index-wp-backend.production.linode.unep-wcmc.org\/fr\/indicator\/vegetation-cover\/","title":{"rendered":"Couverture v\u00e9g\u00e9tale"},"featured_media":0,"template":"","indicator_theme":[6],"class_list":["post-296","indicator","type-indicator","status-publish","hentry","indicator_theme-habitat-status"],"acf":{"indicator_id":"3.4","intent":"\u00c9valuer l\u2019\u00e9tendue de la couverture v\u00e9g\u00e9tale.","approach":"","affected_areas":{"equity":false,"local":true,"hinterland":false,"global":false},"instructions":"

Mesurez le pourcentage de terres couvertes de v\u00e9g\u00e9tation dans la zone relevant de l\u2019administration locale. Selon le contexte local, il peut s\u2019agir uniquement d\u2019arbres ou d\u2019arbustes. Les pelouses ne doivent pas \u00eatre comptabilis\u00e9es.<\/p>\n

Renseignez l\u2019indicateur en mode \u00ab\u00a0\u00e9l\u00e9mentaire\u00a0\u00bb ou \u00ab\u00a0avanc\u00e9\u00a0\u00bb comme suit\u00a0:<\/p>\n

\u00c9l\u00e9mentaire\u00a0:<\/strong><\/p>\n

Utilisez l\u2019outil en ligne gratuit iTree pour estimer le pourcentage de la superficie v\u00e9g\u00e9talis\u00e9e, sur la base du couvert v\u00e9g\u00e9tal.<\/p>\n

Continuez \u00e0 \u00e9valuer les points jusqu\u2019\u00e0 ce que la pr\u00e9cision du couvert v\u00e9g\u00e9tal soit calcul\u00e9e \u00e0 +\/- 3\u00a0% ou moins (ce chiffre se met \u00e0 jour automatiquement au fur et \u00e0 mesure que vous \u00e9valuez chaque point). Les lignes directrices d\u2019iTree recommandent d\u2019\u00e9valuer entre 500 et 1000\u00a0points pour une ville moyenne.<\/p>\n

Une \u00e9valuation de l\u2019\u00e9volution du couvert v\u00e9g\u00e9tal sur 3 \u00e0 10\u00a0ans peut \u00eatre utilis\u00e9e pour g\u00e9n\u00e9rer une tendance si l\u2019on dispose d\u2019une imagerie satellitaire de qualit\u00e9 suffisante.<\/p>\n

Une fois l\u2019\u00e9valuation termin\u00e9e, sauvegardez les donn\u00e9es et mettez en ligne le fichier .csv et le rapport iTree sur cette plateforme.<\/p>\n

Avanc\u00e9\u00a0:<\/strong><\/p>\n

    \n
  1. G\u00e9n\u00e9rez des valeurs NDVI (Normalised Difference Vegetation Index, indice de v\u00e9g\u00e9tation par diff\u00e9rence normalis\u00e9) dans le SIG \u00e0 partir d\u2019images de t\u00e9l\u00e9d\u00e9tection Landsat 8.<\/li>\n
  2. D\u00e9terminez le seuil NDVI le mieux adapt\u00e9 \u00e0 votre \u00e9cosyst\u00e8me autochtone :
    \n0,2 \u00e0 0,5 = v\u00e9g\u00e9tation partielle (arbustes, d\u00e9sert, \u00e9cosyst\u00e8mes alpins, etc.)
    \n0,5 \u00e0 1,0 = v\u00e9g\u00e9tation (\u00e9cosyst\u00e8mes forestiers, jungle, etc.)<\/li>\n
  3. Calculez le pourcentage de la superficie de la ville correspondant au seuil NDVI adapt\u00e9.<\/li>\n<\/ol>\n","alternatives":"

    La superficie correspondant aux murs verts verticaux, aux toits verts pr\u00e9sentant le m\u00eame niveau de v\u00e9g\u00e9tation (par exemple, arbres et\/ou arbustes) ou aux for\u00eats verticales peut \u00eatre incluse le cas \u00e9ch\u00e9ant.<\/p>\n

    Une alternative \u00e0 iTree est l\u2019outil Collect Earth Online du World Resources Institute.
    \nhttps:\/\/www.collect.earth\/<\/a><\/p>\n","scoring_calculator":"positive_trend","sdgs":["13","15"],"global_biodiversity_framework_targets":["8","11"],"iucn_nature_2030_priorities":{"1":[],"2":[],"3":[],"4":[],"5":[]},"resources":[{"title":"L\u2019outil iTree et des conseils d\u2019utilisation ","url":"https:\/\/canopy.itreetools.org\/"},{"title":"Un tutoriel consacr\u00e9 \u00e0 QGIS","url":"https:\/\/towardsdatascience.com\/remote-sensing-with-qgis-calculate-ndvi-c2095f0de21b"},{"title":"Les donn\u00e9es satellitaires mondiales de Landsat 8 sont disponibles gratuitement ","url":"https:\/\/earthexplorer.usgs.gov\/"}],"examples_in_practice":[{"title":"#FreetowntheTreetown vegetation cover campaign to reduce flooding in Freetown, Sierra Leone ","url":"https:\/\/www.wri.org\/our-work\/project\/cities4forests\/call-action\/freetown-sierra-leone"},{"title":"Restoring the vegetation cover and the native forests of biodiversity hotspots in Mauritius","url":"https:\/\/panorama.solutions\/en\/solution\/restoring-vegetation-cover-and-native-forests-biodiversity-hotspots-mauritius"},{"title":"New methodology for vegetation habitat mapping and tool for analysing habitat utilization in GPS-collared species experiments","url":"https:\/\/panorama.solutions\/en\/solution\/new-methodology-vegetation-habitat-mapping-and-tool-analysing-habitat-utilization-gps"}]},"yoast_head":"\nCouverture v\u00e9g\u00e9tale - 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