{"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-westfaleni-liidumaa-toetus","status":"publish","type":"post","link":"https:\/\/geopard.tech\/est\/blog\/grant-from-the-state-of-north-rhine-westphalia\/","title":{"rendered":"H\u00fcperspektraalsed kujutised p\u00f5llumajandusele. Nordrhein-Westfaleni liidumaa toetus."},"content":{"rendered":"

Meil on hea meel teatada, et projekt \u201cTehisintellekti raamistik mulla omaduste kvantitatiivseks hindamiseks h\u00fcperspektraalsete satelliidipiltide abil\u201d valiti osaliseks rahastamiseks Nordrhein-Westfaleni keskkonnaministeeriumi ja Euroopa Liidu poolt programmi raames. REACT-EU InnovationUmweltwirtschaft.NRW<\/a> programm. Toetust rahastab Euroopa Regionaalarengu Fond \/ Europ\u00e4ischen Fonds f\u00fcr regionale Entwicklung (EFRE).<\/p>\r\n

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

Tehisintellekti ja statistika kasutamine selles projektis v\u00f5imaldas kindlaks teha h\u00fcperspektraalsete ja mullaandmete (nt N, pH) vahelise korrelatsiooni, h\u00f5lbustades t\u00e4psemat ja skaleeritavamat l\u00e4henemist mullaanal\u00fc\u00fcsile. Eelseisev h\u00fcperspektraalsete satelliitide k\u00e4ivitamine sagedaste kordusk\u00fclastuste ja sujuva juurdep\u00e4\u00e4suga uutele piltidele ilma viivitusteta pakub mitmeid eeliseid, eriti s\u00e4\u00e4stva p\u00f5llumajanduse toitainete haldamisel. Tehnoloogia aitab hinnata mulla toitainete sisaldust ja k\u00e4ttesaadavust, v\u00f5imaldades p\u00f5llumeestel v\u00e4etamisstrateegiaid kohandada. See viib taimede parema toitainete omastamiseni, v\u00e4iksema keskkonnam\u00f5juni ja kulude kokkuhoiuni.<\/p>\r\n\r\n\r\n

Mis on h\u00fcperspektraalne kujutis?<\/h2>\r\n

H\u00fcperspektraalsed kujutised on v\u00f5imas kaugseire tehnika, mis j\u00e4\u00e4dvustab elektromagnetilist spektrit k\u00f5rge spektraalse lahutusv\u00f5imega.<\/p>\r\n

Erinevalt traditsioonilistest satelliidipiltidest, mis tavaliselt koosnevad kolmest kuni neljast spektriribast (punane, roheline, sinine ja m\u00f5nikord ka l\u00e4hiinfrapuna), kogub h\u00fcperspektraalne pilt sadu kuni tuhandeid kitsaid spektriribasid n\u00e4htava, l\u00e4hiinfrapuna ja l\u00fchilainelise infrapuna piirkonnas. Iga riba annab ainulaadset teavet pildistatud ala pinnaomaduste kohta.<\/p>\r\n

Seda saadakse \u00f5hus v\u00f5i kosmoses asuvatele platvormidele paigaldatud andurite abil. Need andurid kasutavad spektromeetreid peegeldunud v\u00f5i kiiratud kiirguse intensiivsuse m\u00f5\u00f5tmiseks mitmes kitsas sagedusribas.<\/p>\r\n

Laia spektraalandmete valiku kogumise abil suudavad h\u00fcperspektraalsed andurid tuvastada erinevate materjalide spektraalsetes signatuurides peeneid erinevusi, v\u00f5imaldades v\u00e4ga detailset ja t\u00e4pset anal\u00fc\u00fcsi.<\/p>\r\n

H\u00fcperspektraalsete kujutiste rakendused<\/h2>\r\n
    \r\n
  • Keskkonnaseire:<\/strong> Sellel on oluline roll \u00f6kos\u00fcsteemide tervise j\u00e4lgimisel ja hindamisel. See aitab tuvastada taimestiku stressi, j\u00e4lgida maakatte muutusi, avastada invasiivseid liike ning m\u00f5\u00f5ta vee kvaliteedi parameetreid, nagu klorof\u00fclli kontsentratsioon v\u00f5i h\u00e4gusus j\u00e4rvedes ja j\u00f5gedes.<\/li>\r\n
  • P\u00f5llumajandus:<\/strong> See aitab t\u00e4ppisp\u00f5llumajanduses, pakkudes \u00fcksikasjalikku teavet p\u00f5llukultuuride tervise, toitainete sisalduse, niiskustaseme ja haiguste avastamise kohta. P\u00f5llumehed saavad teha andmep\u00f5hiseid otsuseid niisutamise, v\u00e4etamise ja kahjurit\u00f5rje kohta, mille tulemuseks on optimaalne saagikus ja v\u00e4iksem keskkonnam\u00f5ju.<\/li>\r\n
  • Geoloogia ja maavarade uurimine<\/strong>See on oluline geoloogiliste formatsioonide kaardistamisel, mineraalide leiukohtade tuvastamisel ja kivimit\u00fc\u00fcpide iseloomustamisel. See aitab geoloogidel tuvastada muutusi mineraalide koostises ja kaardistada potentsiaalseid uurimisalasid, aidates kaasa t\u00f5husamale ja sihip\u00e4rasemale kaevandamistegevusele.<\/li>\r\n
  • Metsandus<\/strong>See abistab metsamajandamisel ja -seirel. See v\u00f5imaldab tuvastada puuliike, kvantifitseerida metsa biomassi, avastada puude stressi ja hinnata metsatulekahjude tekitatud kahju. See teave aitab kaasa s\u00e4\u00e4stvale metsamajandamisele, bioloogilise mitmekesisuse kaitsmisele ja metsatulekahjude varajase hoiatamise s\u00fcsteemidele.<\/li>\r\n<\/ul>\r\n

    H\u00fcperspektraalsete kujutiste eelised<\/h2>\r\n

    Selle peamine eelis seisneb v\u00f5imes anda detailset spektraalinformatsiooni, mis v\u00f5imaldab materjale suure t\u00e4psusega eristada.<\/p>\r\n

    See viib maakatte t\u00fc\u00fcpide parema klassifitseerimise ja kaardistamiseni, konkreetsete ainete parema identifitseerimise ning keskkonnaprotsesside parema m\u00f5istmiseni.<\/p>\r\n

    H\u00fcperspektraalseid andmeid saab anal\u00fc\u00fcsida ka t\u00e4iustatud algoritmide ja masin\u00f5ppe tehnikate abil, et saada v\u00e4\u00e4rtuslikke teadmisi ja automatiseerida piltide t\u00f5lgendamist.<\/p>","protected":false},"excerpt":{"rendered":"

    Meil on hea meel teatada, et projekt \u201cTehisintellekti raamistik mulla omaduste kvantitatiivseks hindamiseks h\u00fcperspektraalsete satelliidipiltide abil\u201d valiti osaliseks\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_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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