{"id":206,"date":"2020-01-29T15:50:00","date_gmt":"2020-01-29T14:50:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=206"},"modified":"2023-05-18T22:11:51","modified_gmt":"2023-05-18T20:11:51","slug":"detection-des-nuages-et-des-ombres-en-agriculture","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fr\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"D\u00e9tection des nuages et des ombres en agriculture"},"content":{"rendered":"
La d\u00e9tection des nuages et des ombres est l'une des t\u00e2ches les plus importantes des solutions de t\u00e9l\u00e9d\u00e9tection analytique.<\/p>\r\n\r\n\r\n\r\n
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M\u00eame si l'image satellite est enti\u00e8rement d\u00e9gag\u00e9e (90%), il existe toujours une probabilit\u00e9 de 10% que votre champ soit situ\u00e9 sous des nuages ou dans une zone d'ombre. L'inverse est \u00e9galement vrai\u00a0: de nombreux syst\u00e8mes ne traitent pas les images comportant plus de 70% de nuages, bien que les 30% restants puissent aider l'agronome ou l'agriculteur \u00e0 prendre les bonnes d\u00e9cisions pendant la saison.<\/p>\r\n\r\n\r\n\r\n
Chez GeoPard, nous r\u00e9solvons ce probl\u00e8me gr\u00e2ce \u00e0 plusieurs algorithmes d'apprentissage automatique qui fonctionnent avec une tr\u00e8s grande pr\u00e9cision.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Nous d\u00e9finissons un masque de nuages et un masque d'ombres au niveau de l'image enti\u00e8re, et pour chaque paire champ-image, nous consid\u00e9rons quel pourcentage du champ est couvert par des nuages ou par les ombres des nuages.<\/p>\r\n\r\n\r\n\r\n
En analyse automatique, nous ne prenons que des images totalement exemptes de nuages pour un champ sp\u00e9cifique, ce qui permet \u00e0 l'utilisateur de prendre des d\u00e9cisions en toute confiance, bas\u00e9es sur des analyses pluriannuelles.<\/p>\r\n\r\n\r\n\r\n
L'utilisateur de GeoPard a la possibilit\u00e9 de visualiser et m\u00eame d'ex\u00e9cuter lui-m\u00eame les analyses, m\u00eame sur des images partiellement nuageuses.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Cela peut s'av\u00e9rer tr\u00e8s utile, par exemple, en cours de saison, pour appliquer une pulv\u00e9risation \u00e0 dose variable de produits phytosanitaires en se basant sur la derni\u00e8re image satellite, o\u00f9 101\u00a0TP3T de la surface du champ sont sous les nuages. Cela signifie que pour 901\u00a0TP3T de la surface du champ, la d\u00e9cision sera fond\u00e9e sur des donn\u00e9es v\u00e9rifi\u00e9es.<\/p>\r\n\r\n\r\n\r\n
De plus, les utilisateurs de GeoPard peuvent facilement v\u00e9rifier les images sources au niveau r\u00e9gional dans la vue proche infrarouge, ce qui permet de distinguer les terres d\u00e9gag\u00e9es des nuages et des ombres (voir image ci-jointe).<\/p>\r\n\r\n\r\n\r\n
Dans l'interface utilisateur, le filtre cloud se trouve dans le menu sup\u00e9rieur du module \u201c\u00a0Surveillance par satellite\u00a0\u201d, voir les captures d'\u00e9cran ci-jointes.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Il est important de noter que les entreprises d'agriculture num\u00e9rique peuvent encore rencontrer des difficult\u00e9s avec la d\u00e9tection pr\u00e9cise des nuages et des ombres. La capture d'\u00e9cran ci-jointe montre l'une de ces entreprises cr\u00e9ant une carte de fertilisation en r\u00e9alit\u00e9 virtuelle \u00e0 partir de donn\u00e9es sur les nuages et les ombres. Une carte erron\u00e9e conduit donc \u00e0 des d\u00e9cisions agronomiques inappropri\u00e9es et, au final, \u00e0 des r\u00e9sultats insatisfaisants.<\/p>\r\n\r\n\r\n\r\n
GeoPard d\u00e9tecte les nuages et les ombres avec une grande pr\u00e9cision et ne base pas sa d\u00e9cision de tarification variable sur la pr\u00e9sence de nuages. Vous pouvez consulter les images sources sous diff\u00e9rents angles et niveaux de d\u00e9tail, et effectuer un zoom arri\u00e8re pour avoir une vue d'ensemble.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
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Toutes les solutions ne se valent pas, choisissez les meilleures options disponibles sur le march\u00e9 !<\/p>\r\n\r\n
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Qu\u2019est-ce que la d\u00e9tection des nuages en agriculture de pr\u00e9cision\u00a0?<\/h2>\r\n
La d\u00e9tection des nuages en agriculture de pr\u00e9cision d\u00e9signe le processus d'identification et de surveillance de la couverture nuageuse dans les zones agricoles \u00e0 l'aide de technologies de t\u00e9l\u00e9d\u00e9tection. Les nuages peuvent avoir un impact significatif sur les pratiques agricoles et la productivit\u00e9 des cultures, ce qui rend leur d\u00e9tection et leur analyse essentielles \u00e0 une gestion efficace des exploitations.<\/p>\r\n
Elle consiste \u00e0 utiliser divers capteurs, tels que des satellites, des drones ou des instruments au sol, pour capturer des images des champs agricoles. Ces capteurs recueillent des donn\u00e9es sous forme de lumi\u00e8re visible et infrarouge, qui peuvent \u00eatre analys\u00e9es pour d\u00e9terminer la pr\u00e9sence et les caract\u00e9ristiques des nuages.<\/p>\r\n
Son principal objectif en agriculture de pr\u00e9cision est d'\u00e9valuer la distribution spatiale et temporelle des nuages au-dessus des zones agricoles.<\/p>\r\n
Ces informations aident les agriculteurs et les agronomes \u00e0 prendre des d\u00e9cisions \u00e9clair\u00e9es concernant l'irrigation, la fertilisation, la lutte antiparasitaire et les autres pratiques agricoles. En comprenant les variations de la couverture nuageuse, les agriculteurs peuvent optimiser l'allocation des ressources et minimiser les risques de dommages aux cultures ou de r\u00e9duction des rendements.<\/p>\r\n
Les algorithmes de d\u00e9tection des nuages analysent les images captur\u00e9es pour diff\u00e9rencier les pixels nuageux des pixels non nuageux.<\/p>\r\n
Ces algorithmes utilisent diverses techniques, telles que le seuillage, l'analyse spectrale et l'apprentissage automatique, pour identifier et classer avec pr\u00e9cision les formations nuageuses.<\/p>\r\n
Les r\u00e9sultats des algorithmes comprennent g\u00e9n\u00e9ralement le pourcentage de couverture nuageuse, la classification du type de nuage et les mod\u00e8les de d\u00e9placement des nuages.<\/p>\r\n
Une fois les nuages d\u00e9tect\u00e9s et leurs caract\u00e9ristiques d\u00e9termin\u00e9es, les agriculteurs peuvent utiliser ces informations pour mettre en \u0153uvre des techniques d'agriculture de pr\u00e9cision.<\/p>\r\n
Par exemple, si un nuage est d\u00e9tect\u00e9 au-dessus d'une zone pr\u00e9cise d'un champ, les agriculteurs peuvent reporter l'irrigation ou l'application de pesticides dans cette zone jusqu'\u00e0 ce que le nuage soit pass\u00e9. En synchronisant leurs activit\u00e9s agricoles avec les mouvements des nuages, ils optimisent l'utilisation des ressources et minimisent les intrants inutiles.<\/p>\r\n
Elle est particuli\u00e8rement avantageuse dans les r\u00e9gions \u00e0 forte couverture nuageuse ou o\u00f9 les conditions m\u00e9t\u00e9orologiques changent rapidement. En surveillant en continu la couverture nuageuse, les agriculteurs peuvent adapter leurs pratiques agricoles en temps r\u00e9el, en fonction des conditions m\u00e9t\u00e9orologiques du moment.<\/p>\r\n
En r\u00e9sum\u00e9, la d\u00e9tection des nuages joue un r\u00f4le crucial dans l'optimisation des pratiques agricoles et la gestion des ressources en agriculture de pr\u00e9cision. En identifiant et en surveillant avec pr\u00e9cision la couverture nuageuse, les agriculteurs peuvent prendre des d\u00e9cisions \u00e9clair\u00e9es pour am\u00e9liorer la productivit\u00e9 des cultures, r\u00e9duire le gaspillage d'intrants et att\u00e9nuer les risques li\u00e9s aux variations m\u00e9t\u00e9orologiques.<\/p>","protected":false},"excerpt":{"rendered":"
La d\u00e9tection des nuages et des ombres est une t\u00e2che essentielle des solutions d'analyse par t\u00e9l\u00e9d\u00e9tection. Si l'image satellite 90% est enti\u00e8rement nette, alors\u2026<\/p>","protected":false},"author":210157960,"featured_media":1383,"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_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":[1378],"tags":[1599],"class_list":["post-206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-remote-sensing"],"acf":[],"yoast_head":"\n
Cloud and Shadow Detection in Agriculture<\/title>\n<meta name=\"description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/fr\/blog\/detection-des-nuages-et-des-ombres-en-agriculture\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cloud and Shadow Detection in Agriculture\" \/>\n<meta property=\"og:description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/fr\/blog\/detection-des-nuages-et-des-ombres-en-agriculture\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - 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