{"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":"vyuzitie-orezanych-rastrovych-dat-pre-agropodnikanie","status":"publish","type":"post","link":"https:\/\/geopard.tech\/sk\/blog\/use-of-cropped-raster-data-for-agribusiness\/","title":{"rendered":"Pou\u017e\u00edvanie orezan\u00fdch rastrov\u00fdch \u00fadajov pre po\u013enohospod\u00e1rske podniky"},"content":{"rendered":"

Orezan\u00e9 rastrov\u00e9 d\u00e1ta na z\u00e1klade hranice po\u013ea znej\u00fa ve\u013emi jednoducho. Niektor\u00e9 zdroje d\u00e1t s\u00fa rastre s pixelmi a rozl\u00ed\u0161en\u00edm 3m\/10m\/30m, in\u00e9 s\u00fa vektory s polyg\u00f3nmi alebo multipolyg\u00f3nmi.<\/p>\r\n\r\n\r\n\t\t

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\"Orezan\u00e9<\/figure><\/div>
\"Geopard<\/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

Presn\u00e9 ohrani\u010denie orezan\u00fdch rastrov\u00fdch d\u00e1t je zlo\u017eit\u00e9. Predvolen\u00fdm v\u00fdstupom v\u00e4\u010d\u0161iny softv\u00e9ru GIS a presn\u00e9ho po\u013enohospod\u00e1rstva je pixelovan\u00fd raster. Presn\u00e9 vyhodnotenie d\u00e1t v bl\u00edzkosti hranice po\u013ea v\u00e1m pom\u00f4\u017ee lep\u0161ie pochopi\u0165 napr\u00edklad podmienky porastu alebo hodnotu sklonu.\u00a0<\/p>\r\n\r\n\r\n\r\n

Pr\u00edklady pixelovan\u00fdch rastrov:<\/p>\r\n\r\n\r\n\r\n

\"Pixelovan\u00fd\r\n
Pixelovan\u00fd raster v bl\u00edzkej infra\u010dervenej oblasti<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
\"Pixelovan\u00fd\r\n
Pixelovan\u00fd raster s v\u00fd\u0161kov\u00fdm rozl\u00ed\u0161en\u00edm<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

Je mo\u017en\u00e9 ho vylep\u0161i\u0165 a presnej\u0161ie splni\u0165?<\/p>\r\n\r\n\r\n\r\n

\u00c1no, GeoPard to rob\u00ed a dokonca spr\u00edstup\u0148uje d\u00e1ta na \u010fal\u0161iu integr\u00e1ciu prostredn\u00edctvom API. Nieko\u013eko pr\u00edkladov:<\/p>\r\n\r\n\r\n\r\n

    \r\n
  • V\u00fdrez surov\u00fdch satelitn\u00fdch sn\u00edmok (\u010derveno-zeleno-modr\u00e9 a bl\u00edzko-infra\u010derven\u00e9 zobrazenie) na z\u00e1klade hranice po\u013ea:<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    \"Orezan\u00fd\r\n
    Orezan\u00fd raster GeoPard Agriculture RGB<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
    \"Orezan\u00fd\r\n
    GeoPard Agriculture Orezan\u00fd raster v bl\u00edzkej infra\u010dervenej oblasti<\/em><\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

     <\/p>\r\n

      \r\n
    • V\u00fdrez satelitn\u00fdch sn\u00edmok s vegeta\u010dn\u00fdm indexom ako WDRVI na z\u00e1klade hranice po\u013ea:<\/li>\r\n<\/ul>\r\n

       <\/p>\r\n\r\n\r\n\r\n

      \"Orezan\u00fd\r\n
      GOrezan\u00fd raster eoPard Agriculture WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

       <\/p>\r\n

        \r\n
      • V\u00fdrez digit\u00e1lneho topografick\u00e9ho s\u00faboru \u00fadajov (nadmorsk\u00e1 v\u00fd\u0161ka a drsnos\u0165) na z\u00e1klade hranice po\u013ea:<\/li>\r\n<\/ul>\r\n

         <\/p>\r\n\r\n\r\n\r\n

        \"Raster\r\n
        Orezan\u00fd raster GeoPard Agriculture Elevation<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Raster\r\n
        Orezan\u00fd raster drsnosti po\u013enohospod\u00e1rstva GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Ako to vyzer\u00e1 v rozhran\u00ed GeoPard a ako to mo\u017eno integrova\u0165 do v\u00e1\u0161ho agrotechnologick\u00e9ho rie\u0161enia:<\/p>\r\n\r\n\r\n\r\n

        \"Orezan\u00fd\r\n
        Orezan\u00fd raster GeoPard Agriculture NIR<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Poz\u00edcia\r\n
        Poz\u00edcia pomoci v po\u013enohospod\u00e1rstve GeoPard<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"GeoPard\r\n
        GeoPard Agriculture WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        V spolo\u010dnosti GeoPard ch\u00e1peme hodnotu tak\u00fdchto detailov a neust\u00e1le pracujeme na vylep\u0161ovan\u00ed rie\u0161enia.<\/p>\r\n

        \u010co s\u00fa rastrov\u00e9 d\u00e1ta?<\/h2>\r\n

        Rastrov\u00e9 d\u00e1ta s\u00fa typom digit\u00e1lnych obrazov\u00fdch d\u00e1t, ktor\u00e9 s\u00fa reprezentovan\u00e9 mrie\u017ekou pixelov alebo buniek, kde ka\u017ed\u00e1 bunka zodpoved\u00e1 konkr\u00e9tnemu miestu na zemskom povrchu. Ka\u017ed\u00e9mu pixelu v rastrovom obr\u00e1zku je priraden\u00e1 hodnota, ktor\u00e1 predstavuje konkr\u00e9tny atrib\u00fat alebo charakteristiku dan\u00e9ho miesta, ako je nadmorsk\u00e1 v\u00fd\u0161ka, teplota alebo krajinn\u00e1 pokr\u00fdvka.<\/p>\r\n

        Be\u017ene sa pou\u017e\u00edva v geografick\u00fdch informa\u010dn\u00fdch syst\u00e9moch (GIS) a aplik\u00e1ci\u00e1ch dia\u013ekov\u00e9ho prieskumu Zeme na reprezent\u00e1ciu a anal\u00fdzu r\u00f4znych typov priestorov\u00fdch \u00fadajov. M\u00f4\u017eu by\u0165 zhroma\u017e\u010fovan\u00e9 z r\u00f4znych zdrojov vr\u00e1tane satelitn\u00fdch a leteck\u00fdch sn\u00edmok, digit\u00e1lnych fotoapar\u00e1tov a pozemn\u00fdch senzorov.<\/p>\r\n

        \u010casto sa ukladaj\u00fa v r\u00f4znych form\u00e1toch, ako napr\u00edklad GeoTIFF, JPEG a PNG, ktor\u00e9 s\u00fa navrhnut\u00e9 tak, aby efekt\u00edvne komprimovali a ukladali \u00fadaje. Softv\u00e9r GIS a n\u00e1stroje na spracovanie obrazu mo\u017eno pou\u017ei\u0165 na manipul\u00e1ciu a anal\u00fdzu \u00fadajov, napr\u00edklad vykon\u00e1van\u00edm v\u00fdpo\u010dtov hodn\u00f4t pixelov alebo pou\u017eit\u00edm filtrov na vylep\u0161enie ur\u010dit\u00fdch prvkov.<\/p>\r\n

        Medzi pr\u00edklady aplik\u00e1ci\u00ed patr\u00ed mapovanie vyu\u017e\u00edvania p\u00f4dy a krajinnej pokr\u00fdvky, anal\u00fdza zmien veget\u00e1cie v priebehu \u010dasu a predpovedanie v\u00fdnosov plod\u00edn na z\u00e1klade environment\u00e1lnych faktorov.<\/p>\r\n

        Ako sa rastrov\u00e9 d\u00e1ta pou\u017e\u00edvaj\u00fa v presnom po\u013enohospod\u00e1rstve?<\/h2>\r\n

        Je to z\u00e1kladn\u00e1 s\u00fa\u010das\u0165 presn\u00e9ho po\u013enohospod\u00e1rstva, preto\u017ee poskytuje podrobn\u00e9 inform\u00e1cie o zdrav\u00ed plod\u00edn, vlastnostiach p\u00f4dy a faktoroch prostredia, ktor\u00e9 mo\u017eno pou\u017ei\u0165 na prij\u00edmanie informovanej\u0161\u00edch rozhodnut\u00ed o hospod\u00e1ren\u00ed s plodinami. Tu je nieko\u013eko pr\u00edkladov, ako sa rastrov\u00e9 \u00fadaje pou\u017e\u00edvaj\u00fa v presnom po\u013enohospod\u00e1rstve:<\/p>\r\n

          \r\n
        • Anal\u00fdza zdravia plod\u00edn:<\/strong> D\u00e1ta dia\u013ekov\u00e9ho prieskumu Zeme vo forme satelitn\u00fdch sn\u00edmok alebo sn\u00edmok z dronov sa daj\u00fa pou\u017ei\u0165 na generovanie d\u00e1tov\u00fdch vrstiev, ktor\u00e9 zobrazuj\u00fa vegeta\u010dn\u00e9 indexy, ako napr\u00edklad NDVI (Normalized Difference Vegetation Index) alebo NDRE (Normalized Difference Red Edge). Tieto indexy pom\u00e1haj\u00fa identifikova\u0165 oblasti po\u013ea so zdravou veget\u00e1ciou, ako aj oblasti, kde m\u00f4\u017eu by\u0165 plodiny vystaven\u00e9 stresu v d\u00f4sledku chor\u00f4b, \u0161kodcov alebo nedostatku \u017eiv\u00edn.<\/li>\r\n
        • Anal\u00fdza p\u00f4dy:<\/strong> \u00dadaje o p\u00f4de, ako je obsah vlhkosti p\u00f4dy alebo text\u00fara p\u00f4dy, je mo\u017en\u00e9 zhroma\u017e\u010fova\u0165 pomocou senzorov, ktor\u00e9 generuj\u00fa d\u00e1tov\u00e9 vrstvy. Tieto vrstvy m\u00f4\u017eu pom\u00f4c\u0165 identifikova\u0165 oblasti po\u013ea s r\u00f4znymi vlastnos\u0165ami p\u00f4dy, \u010do m\u00f4\u017ee by\u0165 podkladom pre rozhodnutia o hnojen\u00ed, zavla\u017eovan\u00ed a in\u00fdch postupoch hospod\u00e1renia s p\u00f4dou.<\/li>\r\n
        • Anal\u00fdza prostredia:<\/strong> Vrstvy \u00fadajov, ktor\u00e9 zobrazuj\u00fa faktory prostredia, ako je teplota, zr\u00e1\u017eky a r\u00fdchlos\u0165 vetra, sa daj\u00fa pou\u017ei\u0165 na modelovanie rastu plod\u00edn a predpovedanie v\u00fdnosov. Tieto vrstvy m\u00f4\u017eu tie\u017e pom\u00f4c\u0165 identifikova\u0165 oblasti po\u013ea, ktor\u00e9 s\u00fa n\u00e1chyln\u00e9 na er\u00f3ziu, z\u00e1plavy alebo in\u00e9 environment\u00e1lne probl\u00e9my.<\/li>\r\n
        • Aplik\u00e1cia variabilnej sadzby:<\/strong> M\u00f4\u017ee sa pou\u017ei\u0165 na generovanie m\u00e1p s predpismi pre aplik\u00e1ciu variabiln\u00fdch d\u00e1vok vstupov, ako s\u00fa hnojiv\u00e1 alebo pestic\u00eddy. Aplik\u00e1ciou vstupov v r\u00f4znych d\u00e1vkach pod\u013ea potrieb r\u00f4znych oblast\u00ed po\u013ea m\u00f4\u017eu po\u013enohospod\u00e1ri zn\u00ed\u017ei\u0165 plytvanie a optimalizova\u0165 rast plod\u00edn.<\/li>\r\n<\/ul>\r\n

          Celkovo s\u00fa rastrov\u00e9 d\u00e1ta k\u013e\u00fa\u010dov\u00fdm n\u00e1strojom v presnom po\u013enohospod\u00e1rstve, preto\u017ee poskytuj\u00fa podrobn\u00e9 inform\u00e1cie o stave plod\u00edn a p\u00f4dy, ktor\u00e9 mo\u017eno pou\u017ei\u0165 na prij\u00edmanie informovanej\u0161\u00edch rozhodnut\u00ed o hospod\u00e1ren\u00ed s plodinami.<\/p>","protected":false},"excerpt":{"rendered":"

          Orezan\u00e9 rastrov\u00e9 d\u00e1ta na z\u00e1klade hranice po\u013ea znej\u00fa ve\u013emi jednoducho. Niektor\u00e9 zdroje d\u00e1t s\u00fa rastre s pixelmi a rozl\u00ed\u0161en\u00edm 3 m\/10 m\/30 m, in\u00e9 s\u00fa\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_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 Agriculture<\/title>\n<meta name=\"description\" content=\"Cropped raster data based on field boundary sounds very simple. 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