{"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":"bidrag-fran-delstaten-nordrhein-westfalen","status":"publish","type":"post","link":"https:\/\/geopard.tech\/swe\/blog\/grant-from-the-state-of-north-rhine-westphalia\/","title":{"rendered":"Hyperspektral bildbehandling f\u00f6r Jordbruk. Bidrag fr\u00e5n delstaten Nordrhein-Westfalen."},"content":{"rendered":"

Vi \u00e4r glada att kunna meddela att projektet \u201cArtificiell intelligensramverk f\u00f6r kvantitativ uppskattning av markegenskaper med hj\u00e4lp av hyperspektrala satellitbilder\u201d har valts ut f\u00f6r delfinansiering av milj\u00f6ministeriet i Nordrhein-Westfalen och Europeiska unionen inom ramen f\u00f6r REACT-EU InnovationUmweltwirtschaft.NRW<\/a> programmera. Bidraget finansieras av Europeiska regionala utvecklingsfonden \/ Europ\u00e4ischen Fonds f\u00fcr regionale Entwicklung (EFRE).<\/p>\r\n

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

Anv\u00e4ndningen av artificiell intelligens och statistik i detta projekt gjorde det m\u00f6jligt att fastst\u00e4lla korrelationen mellan hyperspektrala data och jordm\u00e5nsdata (t.ex. N, pH), vilket underl\u00e4ttade en mer exakt och skalbar metod f\u00f6r jordm\u00e5nsanalys. Den kommande uppskjutningen av hyperspektrala satelliter med t\u00e4ta \u00e5terbes\u00f6ksintervall och s\u00f6ml\u00f6s \u00e5tkomst till nya bilder utan f\u00f6rdr\u00f6jningar ger flera f\u00f6rdelar, s\u00e4rskilt inom n\u00e4ringshantering f\u00f6r h\u00e5llbart jordbruk. Tekniken hj\u00e4lper till att bed\u00f6ma n\u00e4ringsinneh\u00e5ll och tillg\u00e4nglighet i jorden, vilket g\u00f6r det m\u00f6jligt f\u00f6r jordbrukare att skr\u00e4ddarsy g\u00f6dslingsstrategier. Detta leder till b\u00e4ttre n\u00e4ringsupptag av v\u00e4xter, minskad milj\u00f6p\u00e5verkan och kostnadsbesparingar.<\/p>\r\n\r\n\r\n

Vad \u00e4r hyperspektral bildbehandling?<\/h2>\r\n

Hyperspektral avbildning \u00e4r en kraftfull fj\u00e4rranalysteknik som f\u00e5ngar det elektromagnetiska spektrumet med h\u00f6g spektral uppl\u00f6sning.<\/p>\r\n

Till skillnad fr\u00e5n traditionella satellitbilder, som vanligtvis best\u00e5r av tre till fyra band (r\u00f6tt, gr\u00f6nt, bl\u00e5tt och ibland n\u00e4ra-infrar\u00f6tt), samlar hyperspektralbilder in hundratals till tusentals smala spektralband \u00f6ver de synliga, n\u00e4ra-infrar\u00f6da och kortv\u00e5giga infrar\u00f6da omr\u00e5dena. Varje band ger unik information om ytegenskaperna hos det avbildade omr\u00e5det.<\/p>\r\n

Den m\u00e4ts med hj\u00e4lp av sensorer monterade p\u00e5 luftburna eller rymdburna plattformar. Dessa sensorer anv\u00e4nder spektrometrar f\u00f6r att m\u00e4ta intensiteten hos reflekterad eller emitterad str\u00e5lning \u00f6ver flera smala band.<\/p>\r\n

Genom att samla in ett brett spektrum av spektraldata kan hyperspektrala sensorer uppt\u00e4cka subtila skillnader i de spektrala signaturerna hos olika material, vilket m\u00f6jligg\u00f6r mycket detaljerad och exakt analys.<\/p>\r\n

Till\u00e4mpningar av hyperspektral bildbehandling<\/h2>\r\n
    \r\n
  • Milj\u00f6\u00f6vervakning:<\/strong> Den spelar en viktig roll i \u00f6vervakning och bed\u00f6mning av ekosystemens h\u00e4lsa. Den hj\u00e4lper till att identifiera vegetationsstress, \u00f6vervaka f\u00f6r\u00e4ndringar i markt\u00e4cket, uppt\u00e4cka invasiva arter och m\u00e4ta vattenkvalitetsparametrar som klorofyllkoncentration eller grumlighet i sj\u00f6ar och floder.<\/li>\r\n
  • Lantbruk:<\/strong> Det underl\u00e4ttar precisionsjordbruk genom att ge detaljerad information om gr\u00f6dors h\u00e4lsa, n\u00e4ringsinneh\u00e5ll, fuktniv\u00e5er och sjukdomsdetektering. Jordbrukare kan fatta datadrivna beslut om bevattning, g\u00f6dsling och skadedjursbek\u00e4mpning, vilket resulterar i optimerade sk\u00f6rdar och minskad milj\u00f6p\u00e5verkan.<\/li>\r\n
  • Geologi och mineralutforskning<\/strong>Det \u00e4r avg\u00f6rande f\u00f6r att kartl\u00e4gga geologiska formationer, identifiera mineralfyndigheter och karakterisera bergarter. Det hj\u00e4lper geologer att uppt\u00e4cka f\u00f6r\u00e4ndringar i mineralsammans\u00e4ttningen och kartl\u00e4gga potentiella omr\u00e5den f\u00f6r prospektering, vilket bidrar till mer effektiva och riktade gruvaktiviteter.<\/li>\r\n
  • Skogsbruk<\/strong>Det hj\u00e4lper till med skogsf\u00f6rvaltning och \u00f6vervakning. Det m\u00f6jligg\u00f6r identifiering av tr\u00e4darter, kvantifiering av skogsbiomassa, detektion av tr\u00e4dstress och bed\u00f6mning av skador orsakade av skogsbr\u00e4nder. Denna information hj\u00e4lper till med h\u00e5llbar skogsf\u00f6rvaltning, bevarande av biologisk m\u00e5ngfald och system f\u00f6r tidig varning f\u00f6r skogsbr\u00e4nder.<\/li>\r\n<\/ul>\r\n

    F\u00f6rdelar med hyperspektral avbildning<\/h2>\r\n

    Dess fr\u00e4msta f\u00f6rdel ligger i dess f\u00f6rm\u00e5ga att ge detaljerad spektralinformation, vilket m\u00f6jligg\u00f6r s\u00e4rskiljning av material med h\u00f6g noggrannhet.<\/p>\r\n

    Detta leder till f\u00f6rb\u00e4ttrad klassificering och kartl\u00e4ggning av markt\u00e4ckningstyper, f\u00f6rb\u00e4ttrad identifiering av specifika \u00e4mnen och b\u00e4ttre f\u00f6rst\u00e5else av milj\u00f6processer.<\/p>\r\n

    Hyperspektral data kan ocks\u00e5 analyseras med hj\u00e4lp av avancerade algoritmer och maskininl\u00e4rningstekniker f\u00f6r att utvinna v\u00e4rdefulla insikter och automatisera bildtolkning.<\/p>","protected":false},"excerpt":{"rendered":"

    Vi \u00e4r glada att kunna meddela att projektet \u201cArtificiell intelligens f\u00f6r kvantitativ uppskattning av markegenskaper med hj\u00e4lp av hyperspektrala satellitbilder\u201d har valts ut f\u00f6r delstudier\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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