{"id":19522,"date":"2024-09-12T16:58:51","date_gmt":"2024-09-12T14:58:51","guid":{"rendered":"https:\/\/www.yellowscan.com\/knowledge\/utilisation-du-lidar-pour-la-reponse-durgence-en-alaska\/"},"modified":"2025-05-06T10:16:04","modified_gmt":"2025-05-06T08:16:04","slug":"using-lidar-for-emergency-response-in-alaska","status":"publish","type":"ys_knowledge","link":"https:\/\/www.yellowscan.com\/fr\/knowledge\/using-lidar-for-emergency-response-in-alaska\/","title":{"rendered":"LiDAR YellowScan : R\u00e9ponse rapide aux inondations en Alaska"},"content":{"rendered":"\t\t
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D\u00e9fi<\/h2>\n

Frontier Precision a \u00e9t\u00e9 confront\u00e9 \u00e0 un d\u00e9fi critique lorsque leur client de longue date, le D\u00e9partement des Transports de l’Alaska (DOT), a eu besoin de cartographier rapidement et avec pr\u00e9cision la zone touch\u00e9e par l’inondation du glacier Mendenhall \u00e0 Juneau, en Alaska.<\/p>\n

Cette inondation, d\u00e9clench\u00e9e par des temp\u00e9ratures exceptionnellement chaudes et de fortes pluies, a provoqu\u00e9 un ruissellement important du glacier, mena\u00e7ant la ville et causant des dommages mat\u00e9riels.
\nLe DOT avait besoin de relev\u00e9s a\u00e9riens d\u00e9taill\u00e9s pour \u00e9valuer l’impact de l’inondation et planifier leur r\u00e9ponse.
\nCependant, l’espace a\u00e9rien encombr\u00e9, combin\u00e9 \u00e0 la n\u00e9cessit\u00e9 de collecter rapidement des donn\u00e9es, a rendu cette t\u00e2che complexe, d’autant plus que la r\u00e9gion est une destination touristique populaire, ce qui a ajout\u00e9 des contraintes suppl\u00e9mentaires \u00e0 l’espace a\u00e9rien. <\/p>\n\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

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Maisons d\u00e9truites et dommages mat\u00e9riels \u00e0 cause de l’inondation<\/p>\n\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

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Solution<\/h2>\n

Pour r\u00e9pondre au besoin urgent du DOT de l’Alaska de cartographier de mani\u00e8re pr\u00e9cise et rapide, Frontier Precision a d\u00e9ploy\u00e9 la technologie des drones et du LiDAR.
\nL’\u00e9quipement utilis\u00e9 comprenait le syst\u00e8me LiDAR YellowScan Voyager<\/a> et un drone Quantum Systems Trinity Pro.
\nCes \u00e9quipements ont \u00e9t\u00e9 choisis pour leur capacit\u00e9 \u00e0 couvrir rapidement de grandes zones et \u00e0 op\u00e9rer en toute s\u00e9curit\u00e9 dans l’espace a\u00e9rien encombr\u00e9 autour de Juneau. <\/p>\n\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

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YellowScan Voyager mont\u00e9 sur l’Alta X<\/p>\n\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

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Plan de vol de l’acquisition<\/p>\n\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

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Param\u00e8tres de la mission<\/h2>\n
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  • Taille de l’enqu\u00eate<\/strong> : 1 200 hectares (3 000 acres)<\/li>\n
  • Dur\u00e9e<\/strong> : Environ
    \n6 heures pour l’acquisition des donn\u00e9es <\/li>\n
  • Nombre de vols<\/strong> : Deux vols principaux<\/li>\n
  • Vitesse de vol<\/strong> : 35 km\/h (22 miles par heure)<\/li>\n
  • Altitude<\/strong> : 244 m\u00e8tres AGL (800 pieds AGL)<\/li>\n
  • \u00c9quipement<\/strong> :\n
      \n
    • Drones utilis\u00e9s<\/strong> : Quantum Systems Trinity Pro et Alta X (pour Voyager)<\/li>\n
    • Syst\u00e8me LiDAR<\/strong> : YellowScan Voyager<\/li>\n
    • Logiciel de traitement des donn\u00e9es<\/strong> : YellowScan CloudStation<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\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
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      Pr\u00e9paration du lancement de la mission \u00a9 Scandinavian Drone<\/p>\n\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

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      R\u00e9sultats<\/h2>\n
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      • Nuage de points haute densit\u00e9<\/strong> : 160 pts\/m\u00b2<\/li>\n<\/ul>\n

        L’op\u00e9ration a \u00e9t\u00e9 un succ\u00e8s retentissant, r\u00e9duisant consid\u00e9rablement le temps de collecte des donn\u00e9es pr\u00e9vu de quatre \u00e0 cinq jours \u00e0 seulement six heures.
        \nCette acquisition rapide des donn\u00e9es a minimis\u00e9 les perturbations du trafic a\u00e9rien et du tourisme, permettant au DOT de poursuivre leur r\u00e9ponse aux catastrophes avec un minimum d’interf\u00e9rences.
        \nLes donn\u00e9es LiDAR d\u00e9taill\u00e9es ont fourni des mod\u00e8les d’\u00e9l\u00e9vation haute r\u00e9solution cruciaux pour \u00e9valuer les impacts des inondations et planifier les actions futures.
        \nLa capacit\u00e9 \u00e0 mod\u00e9liser des sc\u00e9narios d’inondation potentiels et \u00e0 pr\u00e9dire les risques futurs a \u00e9t\u00e9 un r\u00e9sultat cl\u00e9, influen\u00e7ant directement le processus de prise de d\u00e9cision du DOT. <\/p>\n\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

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        Nuage de points de la ville de Juneau<\/p>\n\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

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        Apr\u00e8s avoir vu l’efficacit\u00e9 du YellowScan Voyager lors de ce projet, le D\u00e9partement des Transports de l’Alaska a d\u00e9cid\u00e9 d’en acqu\u00e9rir un pour eux-m\u00eames.
        \nC’est une grande victoire pour nous et montre que des agences de haut niveau comme les DOT et d’autres organismes gouvernementaux reconnaissent la valeur de cet \u00e9quipement pour leurs projets critiques.
        \nLa capacit\u00e9 du Voyager \u00e0 collecter rapidement et avec pr\u00e9cision des donn\u00e9es a eu un impact significatif sur leurs op\u00e9rations. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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        Nathan Stephenson<\/span><\/strong><\/p>\n

        Ing\u00e9nieur g\u00e9ospatial appliqu\u00e9<\/strong> – Frontier Precision<\/em>
        <\/span><\/p>\n\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":19414,"menu_order":85,"template":"","meta":{"_acf_changed":false,"content-type":""},"categories":[88],"class_list":["post-19522","ys_knowledge","type-ys_knowledge","status-publish","has-post-thumbnail","hentry","category-success-story"],"acf":[],"yoast_head":"\nLiDAR YellowScan : R\u00e9ponse rapide aux inondations en Alaska<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment un syst\u00e8me LiDAR YellowScan a \u00e9t\u00e9 utilis\u00e9 pour cartographier les zones touch\u00e9es par les inondations, r\u00e9duisant le temps de collecte des donn\u00e9es de plusieurs jours \u00e0 quelques heures.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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