{"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":"rajatun-rasteridatan-kaytto-maatalousliiketoiminnassa","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fin\/blog\/use-of-cropped-raster-data-for-agribusiness\/","title":{"rendered":"Rajatun rasteridatan k\u00e4ytt\u00f6 maatalouselinkeinossa"},"content":{"rendered":"

Peltorajoihin perustuva rajattu rasteridata kuulostaa hyvin yksinkertaiselta. Jotkut datal\u00e4hteet ovat pikseleill\u00e4 varustettuja rastereita, joiden resoluutio on 3 m\/10 m\/30 m, toiset taas ovat vektoreita, joissa on monikulmioita tai monipolymoneja.<\/p>\r\n\r\n\r\n\t\t

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\"WDRVI-rajattu<\/figure><\/div>
\"L\u00e4hi-infrapunassa<\/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
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<\/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

Rajatun rasteridatan tarkkojen rajojen m\u00e4\u00e4ritt\u00e4minen on hankalaa. Useimpien paikkatieto- ja t\u00e4sm\u00e4viljelyohjelmistojen oletustuloste on piksel\u00f6ity rasteri. Pellon reunan l\u00e4hell\u00e4 tehty tarkka datan arviointi auttaa ymm\u00e4rt\u00e4m\u00e4\u00e4n paremmin esimerkiksi latvuston olosuhteita ja kaltevuuden arvoa.\u00a0<\/p>\r\n\r\n\r\n\r\n

Esimerkkej\u00e4 piksel\u00f6ityneist\u00e4 rastereista:<\/p>\r\n\r\n\r\n\r\n

\"L\u00e4hi-infrapunan\r\n
L\u00e4hi-infrapunan piksel\u00f6ity rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
\"Korkeuspikseloitu\r\n
Korkeuspikseloitu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

Onko mahdollista parantaa ja tehd\u00e4 siit\u00e4 tarkempaa?<\/p>\r\n\r\n\r\n\r\n

Kyll\u00e4, GeoPard tekee niin ja jopa tarjoaa dataa saataville jatkointegraatiota varten API:n kautta. Joitakin esimerkkej\u00e4:<\/p>\r\n\r\n\r\n\r\n

    \r\n
  • Rajattu raakasatelliittikuva (punainen, vihre\u00e4, sininen ja l\u00e4hi-infrapunan\u00e4kym\u00e4t) peltoalueen rajojen perusteella:<\/li>\r\n<\/ul>\r\n\r\n\r\n\r\n
    \"RGB-rajattu\r\n
    GeoPard Agriculture RGB -rajattu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
    \"L\u00e4hi-infrapunan\r\n
    GeoPard Agriculture L\u00e4hi-infrapuna-alueen rajattu rasteri<\/em><\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

     <\/p>\r\n

      \r\n
    • Satelliittikuvien rajaus kasvillisuusindeksill\u00e4, kuten WDRVI, pellon reunan perusteella:<\/li>\r\n<\/ul>\r\n

       <\/p>\r\n\r\n\r\n\r\n

      \"WDRVI-rajattu\r\n
      GeoPard Agriculture WDRVI -rajattu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

       <\/p>\r\n

        \r\n
      • Digitaalisen topografia-aineiston rajaus (korkeus ja karheus) peltoalueen rajauksen perusteella:<\/li>\r\n<\/ul>\r\n

         <\/p>\r\n\r\n\r\n\r\n

        \"Korkeusrajattu\r\n
        GeoPard Agriculture -korkeusrajattu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"Karheusrajattu\r\n
        GeoPard Agriculture -karkeusrajattu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Milt\u00e4 se n\u00e4ytt\u00e4\u00e4 GeoPardin k\u00e4ytt\u00f6liittym\u00e4ss\u00e4 ja miten se voidaan integroida maatalousteknologiaratkaisuusi:<\/p>\r\n\r\n\r\n\r\n

        \"GeoPard\r\n
        GeoPard Agriculture NIR -rajattu rasteri<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"GeoPard-maatalouden\r\n
        GeoPard-maatalouden helpotusasema<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n
        \"GeoPard\r\n
        GeoPard Maatalous WDRVI<\/em><\/figcaption>\r\n<\/figure>\r\n\r\n\r\n\r\n

        Me GeoPardilla ymm\u00e4rr\u00e4mme t\u00e4llaisten yksityiskohtien arvon ja ty\u00f6skentelemme jatkuvasti ratkaisun parantamiseksi.<\/p>\r\n

        Mit\u00e4 on rasteridata?<\/h2>\r\n

        Rasteridata on digitaalisen kuvan tyyppi, joka esitet\u00e4\u00e4n pikselien tai solujen ruudukolla, jossa jokainen solu vastaa tietty\u00e4 sijaintia maan pinnalla. Jokaiselle rasterikuvan pikselille on annettu arvo, joka edustaa kyseisen sijainnin tietty\u00e4 ominaisuutta, kuten korkeutta, l\u00e4mp\u00f6tilaa tai maanpeitett\u00e4.<\/p>\r\n

        Sit\u00e4 k\u00e4ytet\u00e4\u00e4n yleisesti paikkatietoj\u00e4rjestelmiss\u00e4 (GIS) ja kaukokartoitussovelluksissa erityyppisten paikkatietojen esitt\u00e4miseen ja analysointiin. Sit\u00e4 voidaan ker\u00e4t\u00e4 useista eri l\u00e4hteist\u00e4, kuten satelliitti- ja ilmakuvista, digitaalikameroista ja maanp\u00e4\u00e4llisist\u00e4 antureista.<\/p>\r\n

        Se tallennetaan usein eri muodoissa, kuten GeoTIFF, JPEG ja PNG, jotka on suunniteltu pakkaamaan ja tallentamaan dataa tehokkaasti. Paikkatieto-ohjelmistoja ja kuvank\u00e4sittelyty\u00f6kaluja voidaan k\u00e4ytt\u00e4\u00e4 datan k\u00e4sittelyyn ja analysointiin, esimerkiksi suorittamalla pikseliarvojen laskelmia tai k\u00e4ytt\u00e4m\u00e4ll\u00e4 suodattimia tiettyjen ominaisuuksien parantamiseksi.<\/p>\r\n

        Esimerkkej\u00e4 sovelluksista ovat maank\u00e4yt\u00f6n ja maapeitteen kartoittaminen, kasvillisuuden muutosten analysointi ajan kuluessa ja satojen ennustaminen ymp\u00e4rist\u00f6tekij\u00f6iden perusteella.<\/p>\r\n

        Miten rasteridataa k\u00e4ytet\u00e4\u00e4n t\u00e4sm\u00e4viljelyss\u00e4?<\/h2>\r\n

        Se on olennainen osa t\u00e4sm\u00e4viljely\u00e4, koska se tarjoaa yksityiskohtaista tietoa sadon terveydest\u00e4, maaper\u00e4n ominaisuuksista ja ymp\u00e4rist\u00f6tekij\u00f6ist\u00e4, joita voidaan k\u00e4ytt\u00e4\u00e4 tietoisempien p\u00e4\u00e4t\u00f6sten tekemiseen viljelyst\u00e4. T\u00e4ss\u00e4 on joitakin esimerkkej\u00e4 siit\u00e4, miten rasteridataa k\u00e4ytet\u00e4\u00e4n t\u00e4sm\u00e4viljelyss\u00e4:<\/p>\r\n

          \r\n
        • Sadon terveysanalyysi:<\/strong> Satelliittikuvien tai drone-kuvien muodossa olevaa kaukokartoitusdataa voidaan k\u00e4ytt\u00e4\u00e4 sellaisten datakerrosten luomiseen, jotka n\u00e4ytt\u00e4v\u00e4t kasvillisuusindeksej\u00e4, kuten NDVI (Normalized Difference Vegetation Index) tai NDRE (Normalized Difference Red Edge). N\u00e4m\u00e4 indeksit auttavat tunnistamaan pellon alueet, joilla on terve kasvillisuus, sek\u00e4 alueet, joilla viljelykasvit voivat olla stressiss\u00e4 tautien, tuholaisten tai ravinnepuutosten vuoksi.<\/li>\r\n
        • Maaper\u00e4analyysi:<\/strong> Maaper\u00e4tietoja, kuten maaper\u00e4n kosteuspitoisuutta tai maaper\u00e4n rakennetta, voidaan ker\u00e4t\u00e4 antureilla, jotka tuottavat datakerroksia. N\u00e4m\u00e4 kerrokset voivat auttaa tunnistamaan pellon alueita, joilla on vaihtelevia maaper\u00e4n ominaisuuksia, mik\u00e4 voi auttaa tekem\u00e4\u00e4n p\u00e4\u00e4t\u00f6ksi\u00e4 lannoituksesta, kastelusta ja muista maaper\u00e4n hoitok\u00e4yt\u00e4nn\u00f6ist\u00e4.<\/li>\r\n
        • Ymp\u00e4rist\u00f6analyysi:<\/strong> Ymp\u00e4rist\u00f6tekij\u00f6it\u00e4, kuten l\u00e4mp\u00f6tilaa, sadem\u00e4\u00e4r\u00e4\u00e4 ja tuulen nopeutta, n\u00e4ytt\u00e4vi\u00e4 tietokerroksia voidaan k\u00e4ytt\u00e4\u00e4 sadon kasvun mallintamiseen ja sadon ennustamiseen. N\u00e4iden kerrosten avulla voidaan my\u00f6s tunnistaa pellon alueita, jotka ovat alttiita eroosiolle, tulville tai muille ymp\u00e4rist\u00f6ongelmille.<\/li>\r\n
        • Muuttuva levitysm\u00e4\u00e4r\u00e4:<\/strong> Sit\u00e4 voidaan k\u00e4ytt\u00e4\u00e4 luomaan karttoja vaihtelevien annosten k\u00e4ytt\u00f6\u00f6n esimerkiksi lannoitteille tai torjunta-aineille. K\u00e4ytt\u00e4m\u00e4ll\u00e4 vaihtelevia m\u00e4\u00e4ri\u00e4 pellon eri alueiden tarpeiden mukaan viljelij\u00e4t voivat v\u00e4hent\u00e4\u00e4 j\u00e4tett\u00e4 ja optimoida sadon kasvua.<\/li>\r\n<\/ul>\r\n

          Rasteridata on kaiken kaikkiaan ratkaisevan t\u00e4rke\u00e4 ty\u00f6kalu t\u00e4sm\u00e4viljelyss\u00e4, koska se tarjoaa yksityiskohtaista tietoa viljelykasvien ja maaper\u00e4n olosuhteista, joita voidaan k\u00e4ytt\u00e4\u00e4 tietoisempien p\u00e4\u00e4t\u00f6sten tekemiseen viljelykasvien hoidosta.<\/p>","protected":false},"excerpt":{"rendered":"

          Peltorajoihin perustuva rajattu rasteridata kuulostaa hyvin yksinkertaiselta. Jotkut tietol\u00e4hteet ovat pikselien rastereita, joiden resoluutio on 3 m\/10 m\/30 m, toiset taas\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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