{"id":286,"date":"2021-01-18T17:57:00","date_gmt":"2021-01-18T16:57:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=286"},"modified":"2024-12-01T21:40:34","modified_gmt":"2024-12-01T20:40:34","slug":"utilisation-des-donnees-raster-recadrees-pour-lagro-industrie","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fr\/blog\/use-of-cropped-raster-data-for-agribusiness\/","title":{"rendered":"Utilisation de donn\u00e9es matricielles pour l'agro-industrie"},"content":{"rendered":"

Le d\u00e9coupage de donn\u00e9es raster en fonction des limites des parcelles semble tr\u00e8s simple. Certaines sources de donn\u00e9es sont des rasters avec des pixels et une r\u00e9solution de 3 m\/10 m\/30 m, d'autres sont des vecteurs avec des polygones ou des multipolygones.<\/p>\r\n\r\n\r\n\t\t

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\"Donn\u00e9es<\/figure><\/div>
\"G\u00e9oparc<\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t
\n\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\t
\n\t\t\t\t\t\t<\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t
<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n\r\n\r\n\r\n

D\u00e9limiter pr\u00e9cis\u00e9ment les donn\u00e9es raster de parcelles cultiv\u00e9es est complexe. La plupart des logiciels SIG et d'agriculture de pr\u00e9cision produisent par d\u00e9faut un raster pix\u00e9lis\u00e9. Une analyse pr\u00e9cise des donn\u00e9es \u00e0 proximit\u00e9 des limites de la parcelle permet de mieux comprendre, par exemple, l'\u00e9tat du couvert v\u00e9g\u00e9tal et la pente.\u00a0<\/p>\r\n\r\n\r\n\r\n

Exemples de rasters pix\u00e9lis\u00e9s\u00a0:<\/p>\r\n\r\n\r\n\r\n

\"raster\r\n
raster pix\u00e9lis\u00e9 proche infrarouge<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
\"raster\r\n
raster pix\u00e9lis\u00e9 d'altitude<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

Est-il possible de l'am\u00e9liorer et de le rendre plus pr\u00e9cis ?<\/p>\r\n\r\n\r\n\r\n

Oui, GeoPard le fait et met m\u00eame les donn\u00e9es \u00e0 disposition pour une int\u00e9gration plus pouss\u00e9e via une API. Quelques exemples\u00a0:<\/p>\r\n\r\n\r\n\r\n

    \r\n
  • Recadrage d'images satellites brutes (vues RVB et proche infrarouge) bas\u00e9 sur la limite du champ\u00a0:<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    \"raster\r\n
    GeoPard Agriculture RVB recadr\u00e9 raster<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
    \"raster\r\n
    GeoPard Agriculture Raster recadr\u00e9 proche infrarouge<\/em><\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

     <\/p>\r\n

      \r\n
    • Recadrage d'images satellites avec un indice de v\u00e9g\u00e9tation comme le WDRVI bas\u00e9 sur la limite du champ\u00a0:<\/li>\r\n<\/ul>\r\n

       <\/p>\r\n\r\n\r\n\r\n

      \"raster\r\n
      GeoPard Agriculture WDRVI raster recadr\u00e9<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

       <\/p>\r\n

        \r\n
      • Recadrage d'un jeu de donn\u00e9es topographiques num\u00e9riques (altitude et rugosit\u00e9) bas\u00e9 sur la limite du champ\u00a0:<\/li>\r\n<\/ul>\r\n

         <\/p>\r\n\r\n\r\n\r\n

        \"raster\r\n
        GeoPard Agriculture Altitude raster recadr\u00e9<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Raster\r\n
        GeoPard Agriculture Rugosit\u00e9 raster recadr\u00e9<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Voici \u00e0 quoi cela ressemble dans l'interface GeoPard et comment cela peut \u00eatre int\u00e9gr\u00e9 \u00e0 votre solution de technologie agricole\u00a0:<\/p>\r\n\r\n\r\n\r\n

        \"GeoPard\r\n
        GeoPard Agriculture NIR recadr\u00e9 raster<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Position\r\n
        Position de secours agricole GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Agriculture\r\n
        Agriculture GeoPard WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Chez GeoPard, nous comprenons l'importance de ces d\u00e9tails et nous travaillons constamment \u00e0 am\u00e9liorer la solution.<\/p>\r\n

        Que sont les donn\u00e9es raster\u00a0?<\/h2>\r\n

        Les donn\u00e9es raster sont un type de donn\u00e9es d'image num\u00e9rique repr\u00e9sent\u00e9es par une grille de pixels ou de cellules, chaque cellule correspondant \u00e0 un emplacement pr\u00e9cis \u00e0 la surface de la Terre. Chaque pixel d'une image raster se voit attribuer une valeur repr\u00e9sentant un attribut ou une caract\u00e9ristique particuli\u00e8re de cet emplacement, comme l'altitude, la temp\u00e9rature ou l'occupation du sol.<\/p>\r\n

        Elle est couramment utilis\u00e9e dans les syst\u00e8mes d'information g\u00e9ographique (SIG) et les applications de t\u00e9l\u00e9d\u00e9tection pour repr\u00e9senter et analyser diff\u00e9rents types de donn\u00e9es spatiales. Elle peut \u00eatre collect\u00e9e \u00e0 partir de diverses sources, notamment l'imagerie satellitaire et a\u00e9rienne, les appareils photo num\u00e9riques et les capteurs au sol.<\/p>\r\n

        Elle est souvent stock\u00e9e dans diff\u00e9rents formats, tels que GeoTIFF, JPEG et PNG, con\u00e7us pour compresser et stocker efficacement les donn\u00e9es. Les logiciels SIG et les outils de traitement d'images permettent de manipuler et d'analyser ces donn\u00e9es, par exemple en effectuant des calculs sur les valeurs des pixels ou en appliquant des filtres pour mettre en valeur certaines caract\u00e9ristiques.<\/p>\r\n

        Parmi les applications possibles, citons la cartographie de l'utilisation et de la couverture des sols, l'analyse des changements de la v\u00e9g\u00e9tation au fil du temps et la pr\u00e9vision des rendements agricoles en fonction des facteurs environnementaux.<\/p>\r\n

        Comment les donn\u00e9es raster sont-elles utilis\u00e9es en agriculture de pr\u00e9cision\u00a0?<\/h2>\r\n

        Il s'agit d'un \u00e9l\u00e9ment essentiel de l'agriculture de pr\u00e9cision, car il fournit des informations d\u00e9taill\u00e9es sur la sant\u00e9 des cultures, les propri\u00e9t\u00e9s du sol et les facteurs environnementaux, permettant ainsi de prendre des d\u00e9cisions plus \u00e9clair\u00e9es en mati\u00e8re de gestion des cultures. Voici quelques exemples d'utilisation des donn\u00e9es raster en agriculture de pr\u00e9cision\u00a0:<\/p>\r\n

          \r\n
        • Analyse de la sant\u00e9 des cultures :<\/strong> Les donn\u00e9es de t\u00e9l\u00e9d\u00e9tection, sous forme d'images satellitaires ou d'images de drones, permettent de g\u00e9n\u00e9rer des couches de donn\u00e9es pr\u00e9sentant des indices de v\u00e9g\u00e9tation tels que l'indice NDVI (Normalized Difference Vegetation Index) ou l'indice NDRE (Normalized Difference Red Edge). Ces indices aident \u00e0 identifier les zones du champ o\u00f9 la v\u00e9g\u00e9tation est saine, ainsi que les zones o\u00f9 les cultures peuvent \u00eatre fragilis\u00e9es par des maladies, des ravageurs ou des carences nutritionnelles.<\/li>\r\n
        • Analyse du sol :<\/strong> Les donn\u00e9es relatives au sol, telles que son taux d'humidit\u00e9 ou sa texture, peuvent \u00eatre collect\u00e9es \u00e0 l'aide de capteurs qui g\u00e9n\u00e8rent des couches de donn\u00e9es. Ces couches permettent d'identifier les zones du champ pr\u00e9sentant des caract\u00e9ristiques de sol diff\u00e9rentes, ce qui peut \u00e9clairer les d\u00e9cisions concernant la fertilisation, l'irrigation et d'autres pratiques de gestion des sols.<\/li>\r\n
        • Analyse environnementale :<\/strong> Les couches de donn\u00e9es relatives aux facteurs environnementaux tels que la temp\u00e9rature, les pr\u00e9cipitations et la vitesse du vent peuvent servir \u00e0 mod\u00e9liser la croissance des cultures et \u00e0 pr\u00e9voir les rendements. Elles permettent \u00e9galement d'identifier les zones des champs sujettes \u00e0 l'\u00e9rosion, aux inondations ou \u00e0 d'autres probl\u00e8mes environnementaux.<\/li>\r\n
        • Application \u00e0 taux variable\u00a0:<\/strong> Il permet de g\u00e9n\u00e9rer des cartes de prescription pour l'application \u00e0 dose variable d'intrants tels que les engrais ou les pesticides. En adaptant les doses d'intrants aux besoins des diff\u00e9rentes zones de la parcelle, les agriculteurs peuvent r\u00e9duire le gaspillage et optimiser la croissance des cultures.<\/li>\r\n<\/ul>\r\n

          De mani\u00e8re g\u00e9n\u00e9rale, les donn\u00e9es raster constituent un outil crucial en agriculture de pr\u00e9cision, car elles fournissent des informations d\u00e9taill\u00e9es sur les cultures et l'\u00e9tat des sols, permettant ainsi de prendre des d\u00e9cisions plus \u00e9clair\u00e9es en mati\u00e8re de gestion des cultures.<\/p>","protected":false},"excerpt":{"rendered":"

          Le d\u00e9coupage des donn\u00e9es raster en fonction des limites des parcelles semble tr\u00e8s simple. Certaines sources de donn\u00e9es sont des rasters avec des pixels et une r\u00e9solution de 3 m\/10 m\/30 m, d'autres\u2026<\/p>","protected":false},"author":210157960,"featured_media":1352,"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_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_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":[1377,1366],"tags":[1618],"class_list":["post-286","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-crop-monitoring","category-topography","tag-crop-monitoring"],"acf":[],"yoast_head":"\nUse of Cropped Raster Data for Agribusiness - GeoPard<\/title>\n<meta name=\"description\" content=\"Cropped raster data based on field boundary sounds very simple. 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