{"id":965,"date":"2026-01-02T11:25:36","date_gmt":"2026-01-02T11:25:36","guid":{"rendered":"https:\/\/rebpasres.org\/?p=965"},"modified":"2026-04-22T11:32:45","modified_gmt":"2026-04-22T11:32:45","slug":"apport-des-algorithmes-de-grass-gis-des-images-satellites-landsat-pour-le-calcul-et-la-visualisation-des-indices-de-vegetation","status":"publish","type":"post","link":"https:\/\/rebpasres.org\/?p=965","title":{"rendered":"Apport des algorithmes de GRASS GIS des images satellites Landsat pour le calcul et la visualisation des indices de v\u00e9g\u00e9tation"},"content":{"rendered":"

R\u00e9sum\u00e9:<\/strong><\/p>\n

Le calcul des indices de v\u00e9g\u00e9tation (VI) constitue un enjeu majeur pour diverses applications de surveillance environnementale, telles que l’\u00e9cologie, la foresterie et l’agriculture. Ce suivi est particuli\u00e8rement utile pour la gestion des territoires et la pr\u00e9vision de la sant\u00e9 de la v\u00e9g\u00e9tation. Les propri\u00e9t\u00e9s de la v\u00e9g\u00e9tation terrestre sont obtenues \u00e0 partir d’indices de v\u00e9g\u00e9tation gr\u00e2ce \u00e0 des techniques de cartographie qui d\u00e9tectent les propri\u00e9t\u00e9s de la v\u00e9g\u00e9tation \u00e0 partir de donn\u00e9es d’observation de la Terre. Diff\u00e9rents algorithmes de calcul des indices de v\u00e9g\u00e9tation exploitent les donn\u00e9es satellitaires, le NDVI \u00e9tant le plus connu. Les capteurs satellitaires tels que Landsat permettent l’acquisition d’images sous forme de s\u00e9ries chronologiques, sources pr\u00e9cieuses de donn\u00e9es pour d\u00e9crire la sant\u00e9 de la v\u00e9g\u00e9tation \u00e0 partir de ces indices. Les donn\u00e9es de t\u00e9l\u00e9d\u00e9tection ouvrent de nouvelles perspectives, mais soul\u00e8vent \u00e9galement la question du choix des algorithmes de traitement des donn\u00e9es. Le logiciel GRASS GIS propose un nombre important de modules int\u00e9grant des techniques de scripting pour le calcul et la visualisation de divers indices de v\u00e9g\u00e9tation. Ainsi, des donn\u00e9es environnementales peuvent \u00eatre extraites d’images satellitaires. Compte tenu des d\u00e9fis ci-dessus, cet article vise \u00e0 utiliser divers modules de GRASS GIS pour le traitement des images satellites Landsat afin de d\u00e9tecter les changements de v\u00e9g\u00e9tation de 2013 \u00e0 2023. L’objectif consiste \u00e0 \u00e9tudier diff\u00e9rents VI en \u00e9valuant plusieurs algorithmes avec des donn\u00e9es multispectrales d’entr\u00e9e. La stabilit\u00e9 et la robustesse des m\u00e9thodes de calcul de VI par le module \u00ab i.vi \u00bb de GRASS GIS sont discut\u00e9es et compar\u00e9es. L’objectif porte sur l’analyse environnementale d’une zone d’\u00e9tude situ\u00e9e en Angola, en Afrique australe. Le cadre technique de la cartographie est bas\u00e9 sur la d\u00e9tection des zones de v\u00e9g\u00e9tation saine et d\u00e9clinante en Angola. Les r\u00e9sultats ont d\u00e9montr\u00e9 des images satellites trait\u00e9es avec des zones d\u00e9tect\u00e9es de v\u00e9g\u00e9tation r\u00e9duite et augment\u00e9e dans le centre de l’Angola. Cette \u00e9tude contribue \u00e0 la surveillance environnementale de l’Afrique australe en utilisant des m\u00e9thodes cartographiques avanc\u00e9es et des donn\u00e9es de t\u00e9l\u00e9d\u00e9tection.
\nMots cl\u00e9s : Indice de v\u00e9g\u00e9tation, Cartographie, T\u00e9l\u00e9d\u00e9tection, <\/strong>
\nDynamique environnementale, \u00c9cologie, Angola<\/strong><\/p>\n

T\u00e9l\u00e9charger ici<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

R\u00e9sum\u00e9: Le calcul des indices de v\u00e9g\u00e9tation (VI) constitue un enjeu majeur pour diverses applications de surveillance environnementale, telles que l’\u00e9cologie, la foresterie et l’agriculture. Ce suivi est particuli\u00e8rement utile pour la gestion des territoires et la pr\u00e9vision de la sant\u00e9 de la v\u00e9g\u00e9tation. Les propri\u00e9t\u00e9s de la v\u00e9g\u00e9tation terrestre sont obtenues \u00e0 partir d’indices […]<\/p>\n","protected":false},"author":6,"featured_media":966,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0},"categories":[11,9],"tags":[155,152,153,154,151,32],"blog_post_layout_featured_media_urls":{"thumbnail":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf-106x150.jpg",106,150,true],"full":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",1058,1497,true]},"categories_names":{"11":{"name":"Archive","link":"https:\/\/rebpasres.org\/?cat=11"},"9":{"name":"Gestion durable des ressources naturelles","link":"https:\/\/rebpasres.org\/?cat=9"}},"tags_names":{"155":{"name":"Angola","link":"https:\/\/rebpasres.org\/?tag=angola"},"152":{"name":"Cartographie","link":"https:\/\/rebpasres.org\/?tag=cartographie"},"153":{"name":"Dynamique environnementale","link":"https:\/\/rebpasres.org\/?tag=dynamique-environnementale"},"154":{"name":"\u00c9cologie","link":"https:\/\/rebpasres.org\/?tag=ecologie"},"151":{"name":"Indice de v\u00e9g\u00e9tation","link":"https:\/\/rebpasres.org\/?tag=indice-de-vegetation"},"32":{"name":"T\u00e9l\u00e9d\u00e9tection","link":"https:\/\/rebpasres.org\/?tag=teledetection"}},"comments_number":"0","wpmagazine_modules_lite_featured_media_urls":{"thumbnail":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf-106x150.jpg",106,150,true],"cvmm-medium":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",212,300,false],"cvmm-medium-plus":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",146,207,false],"cvmm-portrait":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",400,566,false],"cvmm-medium-square":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",424,600,false],"cvmm-large":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",724,1024,false],"cvmm-small":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",67,95,false],"full":["https:\/\/rebpasres.org\/wp-content\/uploads\/2026\/04\/REB-PASRES-N\u00b0013_101-Cover-11-pdf.jpg",1058,1497,true]},"_links":{"self":[{"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/posts\/965"}],"collection":[{"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/rebpasres.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=965"}],"version-history":[{"count":1,"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/posts\/965\/revisions"}],"predecessor-version":[{"id":967,"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/posts\/965\/revisions\/967"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rebpasres.org\/index.php?rest_route=\/wp\/v2\/media\/966"}],"wp:attachment":[{"href":"https:\/\/rebpasres.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=965"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rebpasres.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=965"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rebpasres.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}