{"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":"utilizacao-de-dados-raster-recortados-para-o-agronegocio","status":"publish","type":"post","link":"https:\/\/geopard.tech\/pt-br\/blog\/use-of-cropped-raster-data-for-agribusiness\/","title":{"rendered":"Utiliza\u00e7\u00e3o de dados raster recortados para o agroneg\u00f3cio"},"content":{"rendered":"

Recortar dados raster com base nos limites dos campos parece muito simples. Algumas fontes de dados s\u00e3o rasters com pixels e resolu\u00e7\u00e3o de 3m\/10m\/30m, outras s\u00e3o vetores com pol\u00edgonos ou multipol\u00edgonos.<\/p>\r\n\r\n\r\n\t\t

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Determinar com precis\u00e3o os limites dos dados raster recortados \u00e9 complexo. A maioria dos softwares de SIG e agricultura de precis\u00e3o gera, por padr\u00e3o, um raster pixelizado. A avalia\u00e7\u00e3o precisa dos dados pr\u00f3ximos aos limites da \u00e1rea cultivada permite compreender melhor, por exemplo, as condi\u00e7\u00f5es da cobertura vegetal e o valor da declividade.\u00a0<\/p>\r\n\r\n\r\n\r\n

Exemplos de imagens rasterizadas pixelizadas:<\/p>\r\n\r\n\r\n\r\n

\"Raster\r\n
Raster pixelizado no infravermelho pr\u00f3ximo<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
\"Raster\r\n
Raster pixelizado de eleva\u00e7\u00e3o<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

\u00c9 poss\u00edvel aprimor\u00e1-lo e torn\u00e1-lo mais preciso?<\/p>\r\n\r\n\r\n\r\n

Sim, o GeoPard faz isso e at\u00e9 disponibiliza dados para integra\u00e7\u00e3o adicional via API. Alguns exemplos:<\/p>\r\n\r\n\r\n\r\n

    \r\n
  • Recorte de imagens de sat\u00e9lite brutas (visualiza\u00e7\u00f5es em vermelho, verde e azul e infravermelho pr\u00f3ximo) com base nos limites do campo:<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    \"Raster\r\n
    GeoPard Agricultura RGB raster recortado<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
    \"Raster\r\n
    GeoPard Agricultura Raster recortado por infravermelho pr\u00f3ximo<\/em><\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

     <\/p>\r\n

      \r\n
    • Recorte de imagem de sat\u00e9lite com \u00edndice de vegeta\u00e7\u00e3o como o WDRVI baseado no limite do campo:<\/li>\r\n<\/ul>\r\n

       <\/p>\r\n\r\n\r\n\r\n

      \"Raster\r\n
      GeoPard Agricultura WDRVI raster recortado<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

       <\/p>\r\n

        \r\n
      • Recorte do conjunto de dados de topografia digital (eleva\u00e7\u00e3o e rugosidade) com base no limite do campo:<\/li>\r\n<\/ul>\r\n

         <\/p>\r\n\r\n\r\n\r\n

        \"Raster\r\n
        GeoPard Agricultura Eleva\u00e7\u00e3o rasterizada<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Raster\r\n
        GeoPard Agricultura Rugosidade raster recortado<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Como aparece na interface do GeoPard e como pode ser integrado \u00e0 sua solu\u00e7\u00e3o de tecnologia agr\u00edcola:<\/p>\r\n\r\n\r\n\r\n

        \"Raster\r\n
        Raster recortado GeoPard Agriculture NIR<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Posi\u00e7\u00e3o\r\n
        Posi\u00e7\u00e3o de apoio agr\u00edcola da GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"GeoPard\r\n
        GeoPard Agricultura WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        N\u00f3s da GeoPard entendemos o valor desses detalhes e trabalhamos constantemente para aprimorar a solu\u00e7\u00e3o.<\/p>\r\n

        O que s\u00e3o dados raster?<\/h2>\r\n

        Os dados raster s\u00e3o um tipo de dado de imagem digital representado por uma grade de pixels ou c\u00e9lulas, onde cada c\u00e9lula corresponde a uma localiza\u00e7\u00e3o espec\u00edfica na superf\u00edcie da Terra. A cada pixel em uma imagem raster \u00e9 atribu\u00eddo um valor que representa um atributo ou caracter\u00edstica particular daquela localiza\u00e7\u00e3o, como altitude, temperatura ou cobertura do solo.<\/p>\r\n

        \u00c9 comumente utilizado em sistemas de informa\u00e7\u00e3o geogr\u00e1fica (SIG) e aplica\u00e7\u00f5es de sensoriamento remoto para representar e analisar diversos tipos de dados espaciais. Pode ser coletado de v\u00e1rias fontes, incluindo imagens de sat\u00e9lite e a\u00e9reas, c\u00e2meras digitais e sensores terrestres.<\/p>\r\n

        Geralmente, os dados s\u00e3o armazenados em diversos formatos, como GeoTIFF, JPEG e PNG, projetados para comprimir e armazenar os dados de forma eficiente. Softwares de SIG (Sistemas de Informa\u00e7\u00e3o Geogr\u00e1fica) e ferramentas de processamento de imagens podem ser usados para manipular e analisar os dados, por exemplo, realizando c\u00e1lculos com os valores dos pixels ou aplicando filtros para real\u00e7ar determinadas caracter\u00edsticas.<\/p>\r\n

        Exemplos de aplica\u00e7\u00f5es incluem o mapeamento do uso e cobertura da terra, a an\u00e1lise de mudan\u00e7as na vegeta\u00e7\u00e3o ao longo do tempo e a previs\u00e3o da produ\u00e7\u00e3o agr\u00edcola com base em fatores ambientais.<\/p>\r\n

        Como os dados raster s\u00e3o usados na agricultura de precis\u00e3o?<\/h2>\r\n

        \u00c9 um componente essencial da agricultura de precis\u00e3o, pois fornece informa\u00e7\u00f5es detalhadas sobre a sa\u00fade das culturas, as propriedades do solo e os fatores ambientais, que podem ser usados para tomar decis\u00f5es mais informadas sobre o manejo das culturas. Aqui est\u00e3o alguns exemplos de como os dados raster s\u00e3o usados na agricultura de precis\u00e3o:<\/p>\r\n

          \r\n
        • An\u00e1lise da sa\u00fade das culturas:<\/strong> Dados de sensoriamento remoto, como imagens de sat\u00e9lite ou de drones, podem ser usados para gerar camadas de dados que mostram \u00edndices de vegeta\u00e7\u00e3o, como o NDVI (\u00cdndice de Vegeta\u00e7\u00e3o por Diferen\u00e7a Normalizada) ou o NDRE (\u00cdndice de Borda Vermelha por Diferen\u00e7a Normalizada). Esses \u00edndices ajudam a identificar \u00e1reas da lavoura com vegeta\u00e7\u00e3o saud\u00e1vel, bem como \u00e1reas onde as culturas podem estar sob estresse devido a doen\u00e7as, pragas ou defici\u00eancias nutricionais.<\/li>\r\n
        • An\u00e1lise do solo:<\/strong> Dados do solo, como teor de umidade ou textura, podem ser coletados por meio de sensores que geram camadas de dados. Essas camadas podem ajudar a identificar \u00e1reas da lavoura com caracter\u00edsticas de solo variadas, o que pode orientar decis\u00f5es sobre fertiliza\u00e7\u00e3o, irriga\u00e7\u00e3o e outras pr\u00e1ticas de manejo do solo.<\/li>\r\n
        • An\u00e1lise ambiental:<\/strong> Camadas de dados que mostram fatores ambientais como temperatura, precipita\u00e7\u00e3o e velocidade do vento podem ser usadas para modelar o crescimento das culturas e prever a produtividade. Essas camadas tamb\u00e9m podem ajudar a identificar \u00e1reas da lavoura propensas \u00e0 eros\u00e3o, inunda\u00e7\u00f5es ou outros problemas ambientais.<\/li>\r\n
        • Aplica\u00e7\u00e3o de taxa vari\u00e1vel:<\/strong> Pode ser usado para gerar mapas de prescri\u00e7\u00e3o para aplica\u00e7\u00e3o de insumos em taxas vari\u00e1veis, como fertilizantes ou pesticidas. Ao aplicar os insumos em taxas vari\u00e1veis de acordo com as necessidades de diferentes \u00e1reas da lavoura, os agricultores podem reduzir o desperd\u00edcio e otimizar o crescimento das culturas.<\/li>\r\n<\/ul>\r\n

          De modo geral, os dados raster s\u00e3o uma ferramenta crucial na agricultura de precis\u00e3o, pois fornecem informa\u00e7\u00f5es detalhadas sobre as condi\u00e7\u00f5es das culturas e do solo, que podem ser usadas para tomar decis\u00f5es mais informadas sobre o manejo das culturas.<\/p>","protected":false},"excerpt":{"rendered":"

          Dados raster recortados com base nos limites dos campos parecem muito simples. Algumas fontes de dados s\u00e3o rasters com pixels e resolu\u00e7\u00e3o de 3m\/10m\/30m, outras s\u00e3o\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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