{"id":4152,"date":"2022-03-22T07:05:58","date_gmt":"2022-03-22T06:05:58","guid":{"rendered":"https:\/\/geopard.tech\/?p=4152"},"modified":"2023-08-25T14:54:43","modified_gmt":"2023-08-25T12:54:43","slug":"nordrhein-westfalenin-osavaltion-avustus","status":"publish","type":"post","link":"https:\/\/geopard.tech\/fin\/blog\/grant-from-the-state-of-north-rhine-westphalia\/","title":{"rendered":"Hyperspektrikuvat maataloudelle. Avustus Nordrhein-Westfalenin osavaltiolta."},"content":{"rendered":"

Ilolla ilmoitamme, ett\u00e4 Nordrhein-Westfalenin ymp\u00e4rist\u00f6ministeri\u00f6 ja Euroopan unioni valitsivat osittaisen rahoituksen hankkeelle \u201cTeko\u00e4lykehys maaper\u00e4n ominaisuuksien kvantitatiiviseen arviointiin hyperspektrisatelliittikuvien avulla\u201d. REACT-EU InnovationUmweltwirtschaft.NRW<\/a> ohjelmoida. Apurahaa rahoittaa Euroopan aluekehitysrahasto \/ Europ\u00e4ischen Fonds f\u00fcr regionale Entwicklung (EFRE).<\/p>\r\n

\"Euroopan<\/p>\r\n

Teko\u00e4lyn ja tilastotieteen k\u00e4ytt\u00f6 t\u00e4ss\u00e4 projektissa mahdollisti hyperspektridatan ja maaper\u00e4datan (esim. typpi, pH) v\u00e4lisen korrelaation m\u00e4\u00e4ritt\u00e4misen, mik\u00e4 mahdollisti tarkemman ja skaalautuvamman l\u00e4hestymistavan maaper\u00e4n analysointiin. Tuleva hyperspektrisatelliittien laukaisu tiheill\u00e4 paluuv\u00e4leill\u00e4 ja saumattomalla p\u00e4\u00e4syll\u00e4 uusiin kuviin ilman viiveit\u00e4 tarjoaa useita etuja, erityisesti kest\u00e4v\u00e4n maatalouden ravinteiden hallinnassa. Teknologia auttaa arvioimaan maaper\u00e4n ravinnepitoisuutta ja saatavuutta, jolloin viljelij\u00e4t voivat r\u00e4\u00e4t\u00e4l\u00f6id\u00e4 lannoitusstrategioita. T\u00e4m\u00e4 johtaa kasvien parempaan ravinteiden ottokykyyn, pienemp\u00e4\u00e4n ymp\u00e4rist\u00f6vaikutukseen ja kustannuss\u00e4\u00e4st\u00f6ihin.<\/p>\r\n\r\n\r\n

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

Hyperspektrikuvaus on tehokas kaukokartoitustekniikka, joka tallentaa s\u00e4hk\u00f6magneettisen spektrin suurella spektriresoluutiolla.<\/p>\r\n

Toisin kuin perinteiset satelliittikuvat, jotka tyypillisesti koostuvat kolmesta nelj\u00e4\u00e4n kaistasta (punainen, vihre\u00e4, sininen ja joskus l\u00e4hi-infrapuna), hyperspektrikuvat ker\u00e4\u00e4v\u00e4t satoja tai tuhansia kapeita spektrikaistoja n\u00e4kyv\u00e4n valon, l\u00e4hi-infrapunan ja lyhytaaltoisen infrapunan alueilla. Jokainen kaista tarjoaa ainutlaatuista tietoa kuva-alueen pinnan ominaisuuksista.<\/p>\r\n

Se hankitaan ilmassa tai avaruudessa oleville alustoille asennetuilla antureilla. N\u00e4m\u00e4 anturit k\u00e4ytt\u00e4v\u00e4t spektrometrej\u00e4 heijastuneen tai emittoidun s\u00e4teilyn intensiteetin mittaamiseen useilla kapeilla kaistoilla.<\/p>\r\n

Ker\u00e4\u00e4m\u00e4ll\u00e4 laajan valikoiman spektritietoja hyperspektrianturit voivat havaita hienovaraisia eroja eri materiaalien spektrimerkinn\u00f6iss\u00e4, mik\u00e4 mahdollistaa eritt\u00e4in yksityiskohtaisen ja tarkan analyysin.<\/p>\r\n

Hyperspektrikuvien sovellukset<\/h2>\r\n
    \r\n
  • Ymp\u00e4rist\u00f6n seuranta:<\/strong> Sill\u00e4 on keskeinen rooli ekosysteemien terveyden seurannassa ja arvioinnissa. Se auttaa tunnistamaan kasvillisuuden stressi\u00e4, seuraamaan maanpeitteen muutoksia, havaitsemaan vieraslajeja ja mittaamaan veden laatuparametreja, kuten klorofyllipitoisuutta tai sameutta j\u00e4rviss\u00e4 ja joissa.<\/li>\r\n
  • Maatalous:<\/strong> Se auttaa t\u00e4sm\u00e4viljelyss\u00e4 tarjoamalla yksityiskohtaista tietoa sadon terveydest\u00e4, ravinnepitoisuudesta, kosteustasoista ja tautien havaitsemisesta. Viljelij\u00e4t voivat tehd\u00e4 dataan perustuvia p\u00e4\u00e4t\u00f6ksi\u00e4 kastelusta, lannoituksesta ja tuholaistorjunnasta, mik\u00e4 johtaa optimoituihin satoihin ja pienemp\u00e4\u00e4n ymp\u00e4rist\u00f6vaikutukseen.<\/li>\r\n
  • Geologia ja malminetsint\u00e4<\/strong>Se on t\u00e4rke\u00e4 geologisten muodostumien kartoittamisessa, mineraaliesiintymien tunnistamisessa ja kivilajien karakterisoinnissa. Se auttaa geologeja havaitsemaan mineraalikoostumuksen muutoksia ja kartoittamaan potentiaalisia etsint\u00e4alueita, mik\u00e4 edist\u00e4\u00e4 tehokkaampaa ja kohdennetumpaa kaivostoimintaa.<\/li>\r\n
  • Mets\u00e4talous<\/strong>Se auttaa mets\u00e4nhoidossa ja -seurannassa. Se mahdollistaa puulajien tunnistamisen, mets\u00e4biomassan kvantifioinnin, puiden stressin havaitsemisen ja mets\u00e4palovaurioiden arvioinnin. N\u00e4m\u00e4 tiedot auttavat kest\u00e4v\u00e4ss\u00e4 mets\u00e4nhoidossa, luonnon monimuotoisuuden suojelussa ja mets\u00e4palojen varhaisvaroitusj\u00e4rjestelmiss\u00e4.<\/li>\r\n<\/ul>\r\n

    Hyperspektrikuvien edut<\/h2>\r\n

    Sen t\u00e4rkein etu on kyky tarjota yksityiskohtaista spektritietoa, mik\u00e4 mahdollistaa materiaalien erottelun suurella tarkkuudella.<\/p>\r\n

    T\u00e4m\u00e4 johtaa maapeitetyyppien parempaan luokitteluun ja kartoitukseen, tiettyjen aineiden tunnistamisen tehostumiseen ja ymp\u00e4rist\u00f6prosessien parempaan ymm\u00e4rt\u00e4miseen.<\/p>\r\n

    Hyperspektridataa voidaan analysoida my\u00f6s k\u00e4ytt\u00e4m\u00e4ll\u00e4 edistyneit\u00e4 algoritmeja ja koneoppimistekniikoita arvokkaiden oivallusten saamiseksi ja kuvien tulkinnan automatisoimiseksi.<\/p>","protected":false},"excerpt":{"rendered":"

    Ilolla ilmoitamme, ett\u00e4 \u201cTeko\u00e4lykehys maaper\u00e4n ominaisuuksien kvantitatiiviseen arviointiin hyperspektrisatelliittikuvien avulla\u201d -projekti valittiin osittaiseen\u2026<\/p>","protected":false},"author":210249426,"featured_media":4161,"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":[1661,1365],"tags":[1599],"class_list":["post-4152","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-satellite-imagery","category-news","tag-remote-sensing"],"acf":[],"yoast_head":"\nHyperspectral imagery for Agriculture. 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