{"id":5628,"date":"2022-10-10T11:33:52","date_gmt":"2022-10-10T09:33:52","guid":{"rendered":"https:\/\/geopard.tech\/?p=5628"},"modified":"2026-09-13T10:56:02","modified_gmt":"2026-09-13T08:56:02","slug":"indices-de-vegetation-et-teneur-en-chlorophylle","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fr\/blog\/vegetation-indices-and-chlorophyll-content\/","title":{"rendered":"Indices de v\u00e9g\u00e9tation et teneur en chlorophylle"},"content":{"rendered":"<p class=\"wp-block-paragraph\">GeoPard \u00e9tend la famille des indices de v\u00e9g\u00e9tation li\u00e9s \u00e0 la chlorophylle pris en charge avec<\/p>\r\n<ul>\r\n<li>Indice de teneur en chlorophylle du couvert v\u00e9g\u00e9tal (CCCI)<\/li>\r\n<li>Indice modifi\u00e9 du rapport d&#039;absorption de la chlorophylle (MCARI)<\/li>\r\n<li>Indice d&#039;absorption de chlorophylle transform\u00e9 en r\u00e9flectance (TCARI)<\/li>\r\n<li>ratio MCARI\/OSAVI<\/li>\r\n<li>ratio TCARI\/OSAVI<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Ils permettent de comprendre le stade de d\u00e9veloppement actuel des cultures, notamment<\/p>\r\n<ul>\r\n<li>identification des zones pr\u00e9sentant des besoins en nutriments,<\/li>\r\n<li>estimation de l&#039;\u00e9limination de l&#039;azote,<\/li>\r\n<li>\u00e9valuation du rendement potentiel,<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\">Ces informations sont ensuite utilis\u00e9es pour la cr\u00e9ation de cartes pr\u00e9cises d&#039;application \u00e0 taux variable d&#039;azote.<\/p>\r\n<hr \/>\r\n\r\n\r\n<p class=\"wp-block-paragraph\"><strong>En savoir plus<\/strong>: Quel est l&#039;indice ? <a href=\"https:\/\/geopard.tech\/fr\/blog\/les-indices-de-vegetation-comment-sont-ils-utilises-en-agriculture-de-precision\/\">Il est pr\u00e9f\u00e9rable de l&#039;utiliser dans le PrecisionAg.<\/a><\/p>\r\n<p><strong>En savoir plus<\/strong>: <a href=\"https:\/\/geopard.tech\/fr\/blog\/les-indices-de-vegetation-comment-sont-ils-utilises-en-agriculture-de-precision\/\">Indices de v\u00e9g\u00e9tation GeoPard<\/a><\/p>\r\n<hr \/>\r\n\r\n\r\n\r\n\r\n<p class=\"wp-block-paragraph\" style=\"text-align: center;\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"5633\" data-permalink=\"https:\/\/geopard.tech\/fr\/blog\/vegetation-indices-and-chlorophyll-content\/image-3-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?fit=2048%2C1310&amp;ssl=1\" data-orig-size=\"2048,1310\" data-comments-opened=\"1\" data-image-title=\"Vegetation Indices and Chlorophyll Content\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?fit=1024%2C655&amp;ssl=1\" class=\"wp-image-5633 aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=810%2C518&#038;ssl=1\" alt=\"Indices de v\u00e9g\u00e9tation et teneur en chlorophylle\" width=\"810\" height=\"518\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=1024%2C655&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=300%2C192&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=768%2C491&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=1536%2C983&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?resize=1200%2C768&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?w=2048&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/10\/image-3.png?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/>Indice de teneur en chlorophylle du couvert v\u00e9g\u00e9tal (CCCI) vs Indice de rapport d&#039;absorption de la chlorophylle modifi\u00e9 (MCARI) vs Indice d&#039;absorption de la chlorophylle transform\u00e9 en r\u00e9flectance (TCARI) vs Rapport MCARI\/OSAVI<\/p>\r\n<h2>Que sont les indices de v\u00e9g\u00e9tation ?<\/h2>\r\n<p>Les indices de v\u00e9g\u00e9tation sont des valeurs num\u00e9riques d\u00e9riv\u00e9es de donn\u00e9es spectrales de t\u00e9l\u00e9d\u00e9tection, telles que des images satellitaires ou a\u00e9riennes, permettant de quantifier la densit\u00e9, la sant\u00e9 et la r\u00e9partition de la vie v\u00e9g\u00e9tale \u00e0 la surface de la Terre.<\/p>\r\n<p>Elles sont couramment utilis\u00e9es en t\u00e9l\u00e9d\u00e9tection, en agriculture, en surveillance environnementale et en gestion des terres pour \u00e9valuer et surveiller la croissance, la productivit\u00e9 et la sant\u00e9 de la v\u00e9g\u00e9tation.<\/p>\r\n<p>Ces indices sont calcul\u00e9s \u00e0 partir des valeurs de r\u00e9flectance de diff\u00e9rentes longueurs d&#039;onde de la lumi\u00e8re, notamment dans le rouge, le proche infrarouge (NIR) et parfois d&#039;autres bandes.<\/p>\r\n<p>Les propri\u00e9t\u00e9s de r\u00e9flectance de la v\u00e9g\u00e9tation varient selon les diff\u00e9rentes longueurs d&#039;onde de la lumi\u00e8re, ce qui permet de diff\u00e9rencier la v\u00e9g\u00e9tation des autres types de couverture terrestre.<\/p>\r\n<p>La v\u00e9g\u00e9tation pr\u00e9sente g\u00e9n\u00e9ralement une forte absorption dans la r\u00e9gion rouge et une r\u00e9flectance \u00e9lev\u00e9e dans la r\u00e9gion proche infrarouge en raison de la chlorophylle et des caract\u00e9ristiques de sa structure cellulaire.<\/p>\r\n<p>Voici quelques indices de v\u00e9g\u00e9tation couramment utilis\u00e9s\u00a0:<\/p>\r\n<ul>\r\n<li><strong>Indice de v\u00e9g\u00e9tation par diff\u00e9rence normalis\u00e9e (NDVI)<\/strong>L&#039;indice NDVI est l&#039;indice de v\u00e9g\u00e9tation le plus populaire et le plus utilis\u00e9. Il se calcule comme suit\u00a0: (NIR \u2013 Rouge) \/ (NIR + Rouge). Ses valeurs varient de -1 \u00e0 1, les valeurs les plus \u00e9lev\u00e9es indiquant une v\u00e9g\u00e9tation plus dense et plus saine.<\/li>\r\n<li><strong>Indice de v\u00e9g\u00e9tation am\u00e9lior\u00e9 (EVI)<\/strong>Cet indice am\u00e9liore l&#039;indice NDVI en r\u00e9duisant le bruit atmosph\u00e9rique et celui du sol, et en corrigeant les signaux de fond de la canop\u00e9e. Il utilise des bandes spectrales suppl\u00e9mentaires, comme le bleu, et int\u00e8gre des coefficients pour minimiser ces effets.<\/li>\r\n<li><strong>Indice de v\u00e9g\u00e9tation ajust\u00e9 au sol (SAVI) :<\/strong> SAVI est con\u00e7u pour minimiser l&#039;influence de la luminosit\u00e9 du sol sur l&#039;indice de v\u00e9g\u00e9tation. Il introduit un facteur de correction de la luminosit\u00e9 du sol, permettant des \u00e9valuations de la v\u00e9g\u00e9tation plus pr\u00e9cises dans les zones \u00e0 faible ou clairsem\u00e9e v\u00e9g\u00e9tation.<\/li>\r\n<li><strong>Indice de v\u00e9g\u00e9tation vert-rouge (GRVI)<\/strong>L&#039;indice GRVI est un autre indice de ratio simple qui utilise les bandes verte et rouge pour \u00e9valuer la sant\u00e9 de la v\u00e9g\u00e9tation. Il est calcul\u00e9 comme suit\u00a0: (Vert \u2013 Rouge) \/ (Vert + Rouge).<\/li>\r\n<\/ul>\r\n<p>Ces indices, entre autres, sont utilis\u00e9s par les chercheurs, les gestionnaires fonciers et les d\u00e9cideurs politiques pour prendre des d\u00e9cisions \u00e9clair\u00e9es concernant l&#039;utilisation des terres, l&#039;agriculture, la foresterie, la gestion des ressources naturelles et la surveillance environnementale.<\/p>","protected":false},"excerpt":{"rendered":"<p>GeoPard \u00e9tend la famille des indices de v\u00e9g\u00e9tation li\u00e9s \u00e0 la chlorophylle avec l&#039;indice de contenu en chlorophylle du couvert (CCCI), l&#039;indice de rapport d&#039;absorption de la chlorophylle modifi\u00e9 (MCARI) et l&#039;absorption de la chlorophylle transform\u00e9e\u2026<\/p>","protected":false},"author":210157960,"featured_media":5633,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_eb_attr":"","content-type":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"{title}\n\n{excerpt}\n\n{url}","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpas_customize_per_network":false,"jetpack_post_was_ever_published":false},"categories":[1586,1662,1372,1377,1376,1378,1369],"tags":[1618,1619],"class_list":["post-5628","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-ndvi","category-blog","category-crop-monitoring","category-management-zones","category-remote-sensing","category-vra","tag-crop-monitoring","tag-normalized-difference-vegetation-index"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - 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