{"id":25308,"date":"2025-11-24T15:06:55","date_gmt":"2025-11-24T14:06:55","guid":{"rendered":"https:\/\/www.yellowscan.com\/knowledge\/quantification-de-la-consommation-de-combustible-dans-les-incendies-de-landes-avec-uav-lidar\/"},"modified":"2025-11-24T15:07:58","modified_gmt":"2025-11-24T14:07:58","slug":"quantifying-fuel-consumption-in-heathland-fires-with-uav-lidar","status":"publish","type":"ys_knowledge","link":"https:\/\/www.yellowscan.com\/fr\/knowledge\/quantifying-fuel-consumption-in-heathland-fires-with-uav-lidar\/","title":{"rendered":"Quantification de la consommation de combustible dans les incendies de landes avec UAV LiDAR"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"25308\" class=\"elementor elementor-25308 elementor-25265\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ca58d10 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ca58d10\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2a1f2be\" data-id=\"2a1f2be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8a48bad elementor-widget elementor-widget-text-editor\" data-id=\"8a48bad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"h3\">D\u00e9fi<\/h2><p>L&rsquo;\u00e9quipe de recherche de l&rsquo;\u00e9cole sup\u00e9rieure PXL a men\u00e9 ce projet dans le cadre d&rsquo;un effort plus large visant \u00e0 d\u00e9velopper des m\u00e9thodes quantitatives pour estimer les types et les charges de combustibles en g\u00e9n\u00e9ral et la consommation de combustibles dans les br\u00fblages dirig\u00e9s en particulier. Les \u00e9valuations traditionnelles sur le terrain prenaient beaucoup de temps et \u00e9taient souvent impr\u00e9cises, ce qui rendait difficile l&rsquo;\u00e9valuation de la consommation de combustible dans diverses structures de v\u00e9g\u00e9tation. <\/p><p>L&rsquo;objectif \u00e9tait d&rsquo;explorer comment le LiDAR mont\u00e9 sur drone pouvait servir d&rsquo;outil \u00e0 haute r\u00e9solution et spatialement explicite pour quantifier les volumes de combustibles br\u00fbl\u00e9s lors de br\u00fblages dirig\u00e9s. L&rsquo;\u00e9quipe a cherch\u00e9 \u00e0 comparer la structure de la v\u00e9g\u00e9tation avant et apr\u00e8s l&rsquo;incendie et \u00e0 diff\u00e9rencier la consommation de combustible par type de v\u00e9g\u00e9tation : bruy\u00e8re, herbe et arbres. <\/p><p>Pour y parvenir, ils avaient besoin d&rsquo;une m\u00e9thode rapide, pr\u00e9cise et reproductible. Le flux de travail devait <\/p><ul><li>Capturez la structure de la v\u00e9g\u00e9tation avant et apr\u00e8s le br\u00fblage,<\/li><li>Mesurer la hauteur et la perte de volume comme indicateur de la consommation de carburant, et<\/li><li>Classez automatiquement les types de v\u00e9g\u00e9tation \u00e0 l&rsquo;aide des donn\u00e9es LiDAR et RGB.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-4e166c25 el-section-full el-section-img-x2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4e166c25\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-63b958bc\" data-id=\"63b958bc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5fe5a0cf elementor-widget elementor-widget-image\" data-id=\"5fe5a0cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"525\" height=\"655\" src=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Vegetation-identification-based-on-superpixels.png\" class=\"attachment-large size-large wp-image-25276\" alt=\"Vegetation identification based on superpixels\" srcset=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Vegetation-identification-based-on-superpixels.png 525w, https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Vegetation-identification-based-on-superpixels-240x300.png 240w\" sizes=\"(max-width: 525px) 100vw, 525px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-672a8b4a el-img-caption elementor-widget elementor-widget-text-editor\" data-id=\"672a8b4a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">Identification de la v\u00e9g\u00e9tation bas\u00e9e sur les superpixels. Cette figure montre que la bruy\u00e8re dominante (de couleur violette) s&rsquo;\u00e9tend sur toute la zone d&rsquo;\u00e9tude, suivie de l&rsquo;herbe (jaune) et des arbres (marron) qui ne sont pr\u00e9sents que localement. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-2e9280a\" data-id=\"2e9280a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5246089d elementor-widget elementor-widget-image\" data-id=\"5246089d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"303\" height=\"361\" src=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Orthophoto-after-the-prescribed-burn.png\" class=\"attachment-large size-large wp-image-25281\" alt=\"Orthophoto after the prescribed burn\" srcset=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Orthophoto-after-the-prescribed-burn.png 303w, https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Orthophoto-after-the-prescribed-burn-252x300.png 252w\" sizes=\"(max-width: 303px) 100vw, 303px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61c3a3da el-img-caption elementor-widget elementor-widget-text-editor\" data-id=\"61c3a3da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">Orthophoto apr\u00e8s le br\u00fblage dirig\u00e9.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-765207b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"765207b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-167652d\" data-id=\"167652d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-01476bb elementor-widget elementor-widget-text-editor\" data-id=\"01476bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"h3\">Solution<\/h2><p>Pour r\u00e9pondre \u00e0 ces exigences, les chercheurs ont d\u00e9ploy\u00e9 le <a href=\"https:\/\/www.yellowscan.com\/fr\/products\/surveyor_ultra\/\">Surveyor Ultra V2 de YellowScan<\/a>, mont\u00e9 sur un drone RTK DJI Matrice 300. Le syst\u00e8me Surveyor Ultra a fourni des nuages de points 3D de haute densit\u00e9 capables de capturer les d\u00e9tails de la canop\u00e9e et du sous-bois. <\/p><p>La planification de la mission a pris une journ\u00e9e, suivie d&rsquo;une demi-journ\u00e9e d&rsquo;acquisition de donn\u00e9es et d&rsquo;une demi-journ\u00e9e de traitement initial dans <a href=\"https:\/\/www.yellowscan.com\/fr\/produits\/cloudstation\/\">YellowScan CloudStation<\/a>. Le post-traitement a \u00e9t\u00e9 r\u00e9alis\u00e9 avec le logiciel R, o\u00f9 la classification Superpixel a permis une segmentation automatis\u00e9e des types de v\u00e9g\u00e9tation et un calcul pr\u00e9cis des taux de consommation de carburant. L&rsquo;ensemble du processus, y compris l&rsquo;analyse statistique, a \u00e9t\u00e9 r\u00e9alis\u00e9 en deux semaines.  <\/p><p>Deux vols ont \u00e9t\u00e9 effectu\u00e9s, l&rsquo;un avant et l&rsquo;autre apr\u00e8s le br\u00fblage dirig\u00e9, chacun \u00e0 une altitude de 70 m\u00e8tres AGL et \u00e0 une vitesse de 5 m\/s, couvrant un site de lande de 1,3 hectare. La compatibilit\u00e9 parfaite du Surveyor Ultra avec la YellowScan CloudStation et le logiciel R a assur\u00e9 une transition coh\u00e9rente et efficace de la collecte des donn\u00e9es \u00e0 l&rsquo;analyse quantitative. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5ee7ade0 el-section-img-x1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5ee7ade0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5b51e6da\" data-id=\"5b51e6da\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-44b9979c elementor-widget elementor-widget-image\" data-id=\"44b9979c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"493\" height=\"288\" src=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn.png\" class=\"attachment-large size-large wp-image-25286\" alt=\"Slice depicting vegetation structure before and after the prescribed burn\" srcset=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn.png 493w, https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn-300x175.png 300w\" sizes=\"(max-width: 493px) 100vw, 493px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7c7ca9 el-img-caption elementor-widget elementor-widget-text-editor\" data-id=\"a7c7ca9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">Tranche d\u00e9crivant la structure de la v\u00e9g\u00e9tation avant (violet) et apr\u00e8s (vert) le br\u00fblage dirig\u00e9. La diff\u00e9rence verticale peut \u00eatre utilis\u00e9e comme indicateur de la consommation de combustible. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-612566d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"612566d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-928ff35\" data-id=\"928ff35\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9b0f752 elementor-widget elementor-widget-text-editor\" data-id=\"9b0f752\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"h3\">Param\u00e8tres de la mission<\/h2><ul><li><strong>Taille de l&rsquo;enqu\u00eate<\/strong>: syst\u00e8me de landes de 1,3 ha<\/li><li><strong>Dur\u00e9e du<\/strong> projet : Planification 1 jour, acquisition 0,5 jour, traitement 0,5 jour (traitement complet comprenant la classification des superpixels et le calcul des taux de consommation de carburant dans le logiciel R : 2 semaines).<\/li><li><strong>Vols<\/strong>: 2 (avant et apr\u00e8s l&rsquo;incendie)<\/li><li><strong>Altitude et vitesse de vol<\/strong>: 70 m AGL \u00e0 5 m\/s<\/li><li><strong>\u00c9quipement<\/strong>: Syst\u00e8me LiDAR <a href=\"https:\/\/www.yellowscan.com\/fr\/products\/surveyor_ultra\/\">YellowScan Surveyor Ultra<\/a> V2, DJI Matrice 300 RTK, <a href=\"https:\/\/www.yellowscan.com\/fr\/produits\/cloudstation\/\">YellowScan CloudStation<\/a>, post-traitement dans le logiciel R<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-73f89813 el-section-img-x1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"73f89813\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-55014712\" data-id=\"55014712\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-40a0dace elementor-widget elementor-widget-image\" data-id=\"40a0dace\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"770\" height=\"241\" src=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn_02.png\" class=\"attachment-large size-large wp-image-25291\" alt=\"Pointcloud slice showing the trees who did not burn.\" srcset=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn_02.png 770w, https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn_02-300x94.png 300w, https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/Slice-depicting-vegetation-structure-before-and-after-the-prescribed-burn_02-768x240.png 768w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-22246152 el-img-caption elementor-widget elementor-widget-text-editor\" data-id=\"22246152\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">Tranche d\u00e9crivant la structure de la v\u00e9g\u00e9tation avant (violet) et apr\u00e8s (vert) le br\u00fblage dirig\u00e9. La diff\u00e9rence verticale peut \u00eatre utilis\u00e9e comme indicateur de la consommation de combustible. On peut voir que les arbres et la v\u00e9g\u00e9tation de sous-bois n&rsquo;ont pas br\u00fbl\u00e9.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fee1854 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fee1854\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0fc7d4a\" data-id=\"0fc7d4a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a8f0286 elementor-widget elementor-widget-text-editor\" data-id=\"a8f0286\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 class=\"h3\">R\u00e9sultats<\/h2><p>Le <a href=\"https:\/\/www.yellowscan.com\/fr\/products\/surveyor_ultra\/\">YellowScan Surveyor Ultra<\/a> a permis une mesure pr\u00e9cise et rapide de la structure de la v\u00e9g\u00e9tation avant et apr\u00e8s le br\u00fblage dirig\u00e9, permettant \u00e0 l&rsquo;\u00e9quipe de quantifier la consommation de combustible avec une grande pr\u00e9cision spatiale. Gr\u00e2ce \u00e0 la segmentation Superpixel, trois types de v\u00e9g\u00e9tation (prairie, bruy\u00e8re et arbres avec v\u00e9g\u00e9tation de sous-bois) ont \u00e9t\u00e9 class\u00e9s avec une pr\u00e9cision de 97,8 %. <\/p><p>L&rsquo;analyse de la consommation de combustible a r\u00e9v\u00e9l\u00e9 des diff\u00e9rences \u00e9videntes entre les types de v\u00e9g\u00e9tation. La bruy\u00e8re a montr\u00e9 la plus forte r\u00e9duction moyenne de hauteur (0,165 \u00b1 0,102 m), tandis que l&rsquo;herbe (0,089 \u00b1 0,088 m) et la v\u00e9g\u00e9tation de sous-bois (0,091 \u00b1 0,068 m) ont montr\u00e9 une consommation plus faible. L&rsquo;analyse statistique a confirm\u00e9 que toutes les diff\u00e9rences entre les types de v\u00e9g\u00e9tation \u00e9taient significatives (p &lt; 0,001).  <\/p><p>Cette m\u00e9thodologie fournit des donn\u00e9es quantitatives pour l&rsquo;\u00e9laboration de protocoles de br\u00fblage dirig\u00e9 sp\u00e9cifiques \u00e0 la v\u00e9g\u00e9tation et souligne l&rsquo;importance de la collecte de donn\u00e9es de t\u00e9l\u00e9d\u00e9tection avant et apr\u00e8s les incendies pour des strat\u00e9gies efficaces de gestion des incendies de for\u00eat.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-604d6048 elm-testimonial elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"604d6048\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6930d381\" data-id=\"6930d381\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4de5aa2e elm-testimonial__text elementor-widget elementor-widget-text-editor\" data-id=\"4de5aa2e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Le YellowScan Surveyor Ultra a permis une mesure pr\u00e9cise et rapide de la structure de la v\u00e9g\u00e9tation avant et apr\u00e8s le br\u00fblage dirig\u00e9, ce qui nous a permis de quantifier la consommation de combustible avec une tr\u00e8s grande pr\u00e9cision spatiale.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-1a5adcf2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1a5adcf2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-386e231a\" data-id=\"386e231a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6ff5e48e elm-testimonial__img elementor-widget elementor-widget-image\" data-id=\"6ff5e48e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"218\" height=\"231\" src=\"https:\/\/www.yellowscan.com\/wp-content\/uploads\/2025\/11\/sam_ottoy.jpg\" class=\"attachment-large size-large wp-image-25296\" alt=\"Sam Ottoy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-3072efdf\" data-id=\"3072efdf\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3c7a8096 elementor-widget elementor-widget-text-editor\" data-id=\"3c7a8096\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong><span class=\"elm-testimonials__name\">Sam Ottoy<\/span><\/strong>\n\n<span class=\"elm-testimonials__role\"><em>Universit\u00e9 PXL des sciences appliqu\u00e9es et des arts Chef de projet<\/em>\n<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"featured_media":25268,"menu_order":12,"template":"","meta":{"_acf_changed":false,"content-type":""},"categories":[88],"class_list":["post-25308","ys_knowledge","type-ys_knowledge","status-publish","has-post-thumbnail","hentry","category-success-story"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Quantification de la consommation de combustible dans les incendies de landes \u00e0 l&#039;aide de UAV LiDAR<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment 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