{"id":21039,"date":"2024-11-07T10:04:47","date_gmt":"2024-11-07T09:04:47","guid":{"rendered":"https:\/\/www.yellowscan.com\/knowledge\/utilisation-du-lidar-pour-lidentification-des-glissements-de-terrain-dans-le-nord-du-pays-de-galles\/"},"modified":"2025-05-05T16:48:42","modified_gmt":"2025-05-05T14:48:42","slug":"using-lidar-for-landslide-identification-in-north-wales","status":"publish","type":"ys_knowledge","link":"https:\/\/www.yellowscan.com\/fr\/knowledge\/using-lidar-for-landslide-identification-in-north-wales\/","title":{"rendered":"LiDAR : \u00c9valuation des risques de glissements de terrain"},"content":{"rendered":"\t\t
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D\u00e9fi<\/h2>\n

L’organisation nationale des for\u00eats a fait appel \u00e0 OR3D GEO pour \u00e9valuer les risques de glissement de terrain dans une grande for\u00eat du nord du Pays de Galles. L’instabilit\u00e9 et l’\u00e9rosion du terrain sont courantes dans cette r\u00e9gion, o\u00f9 la v\u00e9g\u00e9tation dense et le terrain difficile ont rendu les m\u00e9thodes traditionnelles d’arpentage inefficaces pour collecter des donn\u00e9es d’altitude pr\u00e9cises et surveiller les mouvements du sol.<\/p>\n

L’un des principaux d\u00e9fis consistait \u00e0 obtenir des donn\u00e9es d’\u00e9l\u00e9vation pr\u00e9cises pour cr\u00e9er des mod\u00e8les d’\u00e9l\u00e9vation, essentiels pour identifier d’\u00e9ventuels glissements de terrain de grande ampleur \u00e0 l’avenir. Des mod\u00e8les d’\u00e9l\u00e9vation pr\u00e9cis sont essentiels pour comprendre la morphologie du terrain, pr\u00e9voir les risques de glissement de terrain et mettre en \u0153uvre des strat\u00e9gies d’att\u00e9nuation. En l’absence de donn\u00e9es pr\u00e9cises, il est difficile d’identifier les mouvements subtils du terrain et d’estimer les d\u00e9bris potentiels d’un glissement de terrain. Pour r\u00e9soudre ce probl\u00e8me, OR3D GEO s’est appuy\u00e9 sur la technologie LiDAR de YellowScan pour obtenir la pr\u00e9cision n\u00e9cessaire pour surmonter ces obstacles, car elle peut p\u00e9n\u00e9trer la v\u00e9g\u00e9tation dense et cartographier le terrain avec pr\u00e9cision, permettant ainsi une surveillance et une gestion des risques plus efficaces. <\/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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Ombrage de l'\u00e9l\u00e9vation<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Solution<\/h2>\n

OR3D GEO a choisi le syst\u00e8me LiDAR YellowScan Surveyor Ultra pour ce projet. La fr\u00e9quence d’impulsion \u00e9lev\u00e9e de ce syst\u00e8me (640 000 lignes par seconde) et sa capacit\u00e9 \u00e0 capturer trois \u00e9chos par tir ont permis d’obtenir une pr\u00e9cision exceptionnelle, avec une pr\u00e9cision de mesure de la distance de +\/- 25 mm et une pr\u00e9cision de +\/- 30 mm. Ces sp\u00e9cifications ont permis d’obtenir une cartographie pr\u00e9cise, m\u00eame dans des environnements accident\u00e9s o\u00f9 la v\u00e9g\u00e9tation est dense.<\/p>\n

Ils ont utilis\u00e9 ce syst\u00e8me pour capturer des donn\u00e9es d’\u00e9l\u00e9vation d\u00e9taill\u00e9es sur l’ensemble de la zone bois\u00e9e, car les impulsions laser \u00e0 grande vitesse peuvent p\u00e9n\u00e9trer les canop\u00e9es d’arbres denses et les d\u00e9bris, ce qui permet des mesures pr\u00e9cises du sol de la for\u00eat et des caract\u00e9ristiques du terrain sous-jacent.<\/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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Surveyor Ultra mont\u00e9 sur un DJI M300<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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\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>: 60 hectares<\/li>\n
  • Dur\u00e9e du vol<\/strong>: Un vol de 30 minutes \u00e0 50 m\u00e8tres d’altitude<\/li>\n
  • Transmission de donn\u00e9es<\/strong>: <\/span>Donn\u00e9es en temps r\u00e9el gr\u00e2ce \u00e0 Starlink<\/li>\n
  • Retours LiDAR<\/strong>: Jusqu’\u00e0 3 \u00e9chos par tir<\/li>\n<\/ul>\n
    <\/span><\/div>\n
    Le YellowScan Surveyor Ultra a fourni des mod\u00e8les num\u00e9riques d’\u00e9l\u00e9vation (MNE), des mod\u00e8les num\u00e9riques de surface (MNS) et des mod\u00e8les num\u00e9riques de terrain (MNT) \u00e0 haute r\u00e9solution. Ces donn\u00e9es ont permis \u00e0 OR3D GEO d’effectuer une analyse compl\u00e8te de la morphologie du terrain, en identifiant les caract\u00e9ristiques critiques telles que les pentes, les sch\u00e9mas de drainage et les zones \u00e0 risque d’\u00e9rosion et de glissement de terrain.<\/span><\/div>\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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    Mod\u00e8le num\u00e9rique de terrain (MNT) en couleur <\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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
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    DTM en gris<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    R\u00e9sultats<\/h2>\n
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    • Densit\u00e9 de points : Points par m\u00e8tre carr\u00e9<\/b>: 300 pts\/m\u00b2.<\/li>\n<\/ul>\n

      OR3D GEO a identifi\u00e9 avec succ\u00e8s les zones \u00e0 haut risque susceptibles de subir des glissements de terrain. La cartographie topographique pr\u00e9cise leur a permis de rep\u00e9rer les pentes abruptes et les zones pr\u00e9sentant des signes d’\u00e9rosion ant\u00e9rieure ou des probl\u00e8mes de drainage potentiels. Ces donn\u00e9es pr\u00e9cieuses ont permis d’\u00e9laborer des strat\u00e9gies d’att\u00e9nuation efficaces pour prot\u00e9ger le paysage forestier contre les risques g\u00e9ologiques futurs.<\/p>\n

      Le YellowScan Surveyor Ultra a aid\u00e9 OR3D GEO \u00e0 collecter des donn\u00e9es pr\u00e9cises dans des environnements difficiles. Ces donn\u00e9es ont fourni des informations utiles \u00e0 l’Organisation nationale des for\u00eats, leur permettant de prendre des d\u00e9cisions \u00e9clair\u00e9es sur la gestion et la conservation des terres pour l’avenir.<\/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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      DTM de Castle Mill<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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
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      Valeurs d'intensit\u00e9 de l'arbre du moulin de Castle<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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\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
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      Le Surveyor Ultra de YellowScan nous a permis de capturer des donn\u00e9es d’\u00e9l\u00e9vation pr\u00e9cises dans des for\u00eats denses, l\u00e0 o\u00f9 les m\u00e9thodes traditionnelles \u00e9chouaient. Cette clart\u00e9 \u00e9tait essentielle pour \u00e9valuer avec pr\u00e9cision les risques de glissement de terrain et offrir \u00e0 nos clients des informations exploitables pour une gestion efficace des terres.<\/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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      \n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"james\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
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      James Earl<\/span><\/strong><\/p>\n

      Directeur g\u00e9n\u00e9ral<\/b> – OR3D GEO<\/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":21035,"menu_order":80,"template":"","meta":{"_acf_changed":false,"content-type":""},"categories":[88],"class_list":["post-21039","ys_knowledge","type-ys_knowledge","status-publish","has-post-thumbnail","hentry","category-success-story"],"acf":[],"yoast_head":"\nLiDAR : \u00c9valuation des risques de glissements de terrain<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez comment la technologie LiDAR a permis d'\u00e9valuer les risques de glissement de terrain dans une grande for\u00eat sujette \u00e0 l'instabilit\u00e9 et \u00e0 l'\u00e9rosion.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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