{"id":5618,"date":"2022-10-07T15:35:41","date_gmt":"2022-10-07T13:35:41","guid":{"rendered":"https:\/\/geopard.tech\/?p=5618"},"modified":"2026-09-13T10:54:54","modified_gmt":"2026-09-13T08:54:54","slug":"normaliserat-skillnadsfuktindex-ndmi","status":"publish","type":"post","link":"https:\/\/geopard.tech\/swe\/blog\/normalized-difference-moisture-index-ndmi\/","title":{"rendered":"Normaliserad skillnad i fuktindex"},"content":{"rendered":"

Antalet vegetationsindex som st\u00f6ds av GeoPard<\/a> v\u00e4xer kontinuerligt. GeoPard-teamet introducerar Normalized Difference Moisture Index (NDMI). Indexet best\u00e4mmer vegetationens vattenhalt och normaliserat difference water index (NDWI). Det \u00e4r anv\u00e4ndbart f\u00f6r att hitta fl\u00e4ckar med befintliga vattenstress hos v\u00e4xter<\/strong>.<\/p>\r\n\r\n\r\n\r\n

L\u00e4gre NDMI-v\u00e4rden markerar de punkter d\u00e4r v\u00e4xterna \u00e4r stressade p\u00e5 grund av otillr\u00e4cklig fukt.
\u00c5 andra sidan markerar l\u00e4gre normaliserade skillnadsvattenindexv\u00e4rden efter vegetationstoppen de fl\u00e4ckar som h\u00e5ller p\u00e5 att bli redo f\u00f6r sk\u00f6rd<\/strong> f\u00f6rsta.<\/p>\r\n

\"Skillnaden

Skillnaden i vegetationens relativa vattenhalt mellan tv\u00e5 satellitbilder (i detta fall Sentinel-2-konstellationen)<\/p><\/div>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n

I f\u00f6ljande sk\u00e4rmdumpar hittar du NDMI-zonerna som genererats baserat p\u00e5 satellitbilder fr\u00e5n den 19 juni (vegetationstoppen) och den 6 juli, samt ekvationskartan som representerar NDMI-skillnaden.<\/p>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n

\"NormaliseratNDMI ber\u00e4knat ovanp\u00e5 planeten \/ Sentinel-2 \/ Landsat-bild<\/p>\r\n

Vad \u00e4r fuktindex?<\/h2>\r\n

Det \u00e4r ett m\u00e5tt eller en ber\u00e4kning som anv\u00e4nds f\u00f6r att bed\u00f6ma fukthalten eller tillg\u00e4ngligheten i ett specifikt omr\u00e5de eller region. Det h\u00e4rleds vanligtvis fr\u00e5n olika milj\u00f6faktorer s\u00e5som nederb\u00f6rd, avdunstning, markegenskaper och vegetationst\u00e4cke.<\/p>\r\n

Den ger en relativ indikation p\u00e5 ett omr\u00e5des fukt- eller torrhetsgrad, vilket hj\u00e4lper till att identifiera potentiell vattenstress eller torka.<\/p>\r\n

Det \u00e4r ett v\u00e4rdefullt verktyg f\u00f6r att \u00f6vervaka och hantera vattenresurser, jordbruksplanering och f\u00f6rst\u00e5 de ekologiska f\u00f6rh\u00e5llandena i en viss region.<\/p>\r\n

Vad \u00e4r normaliserat differensfuktindex?<\/h2>\r\n

Normaliserat differensfuktindex (NDMI) \u00e4r ett vegetationsindex som h\u00e4rr\u00f6r fr\u00e5n fj\u00e4rranalysdata f\u00f6r att bed\u00f6ma och \u00f6vervaka fukthalten i vegetation. Liksom andra vegetationsindex ber\u00e4knas det med hj\u00e4lp av spektrala reflektansv\u00e4rden fr\u00e5n satellit- eller flygbilder.<\/p>\r\n

Det \u00e4r s\u00e4rskilt anv\u00e4ndbart f\u00f6r att \u00f6vervaka v\u00e4xters vattenstress, bed\u00f6ma torkaf\u00f6rh\u00e5llanden, uppskatta brandrisker och studera klimatf\u00f6r\u00e4ndringarnas effekter p\u00e5 vegetation.<\/p>\r\n

Den ber\u00e4knas med hj\u00e4lp av banden f\u00f6r n\u00e4ra-infrar\u00f6tt (NIR) och kortv\u00e5gigt infrar\u00f6tt (SWIR), vilka \u00e4r k\u00e4nsliga f\u00f6r fukthalten i vegetation. Formeln f\u00f6r NDMI \u00e4r:<\/p>\r\n

NDMI<\/strong> = (NIR \u2013 SWIR) \/ (NIR + SWIR)<\/em><\/p>\r\n

NDWI-v\u00e4rden varierar vanligtvis fr\u00e5n -1 till 1, d\u00e4r h\u00f6gre v\u00e4rden indikerar h\u00f6gre fukthalt i vegetationen och l\u00e4gre v\u00e4rden indikerar l\u00e4gre fukthalt eller vattenstress i vegetationen. Negativa NDMI-v\u00e4rden kan associeras med omr\u00e5den utan vegetation eller omr\u00e5den med mycket l\u00e5g fukthalt.<\/p>\r\n

Vad \u00e4r NDWI?<\/h2>\r\n

NDWI, eller Normalized Difference Water Index, \u00e4r ett fj\u00e4rranalysindex som anv\u00e4nds f\u00f6r att kvantifiera och bed\u00f6ma vattenhalt eller vattenrelaterade egenskaper i vegetation eller landskap.<\/p>\r\n

Den ber\u00e4knas genom att analysera reflektansen fr\u00e5n n\u00e4ra-infrar\u00f6da och gr\u00f6na ljusband fr\u00e5n satellit- eller flygbilder. Den \u00e4r s\u00e4rskilt anv\u00e4ndbar f\u00f6r att identifiera vattendrag, \u00f6vervaka f\u00f6r\u00e4ndringar i vattentillg\u00e4nglighet och bed\u00f6ma vegetationens h\u00e4lsa.<\/p>\r\n

Genom att j\u00e4mf\u00f6ra absorptionen och reflektionen av olika v\u00e5gl\u00e4ngder ger den v\u00e4rdefull information f\u00f6r till\u00e4mpningar som torka\u00f6vervakning, hydrologisk analys och ekosystemf\u00f6rvaltning.<\/p>\r\n

Visualisering av NDMI f\u00f6r att best\u00e4mma normaliserat skillnadsvattenindex<\/h2>\r\n

Att visualisera NDMI inneb\u00e4r att man bearbetar satellit- eller flygbilder, ber\u00e4knar NDMI-v\u00e4rdena och sedan visar resultaten som en f\u00e4rgkodad karta eller bild. H\u00e4r \u00e4r de allm\u00e4nna stegen f\u00f6r att visualisera NDMI:<\/p>\r\n

    \r\n
  • Skaffa satellit- eller flygbilder:<\/strong> Skaffa multispektrala bilder fr\u00e5n en satellit- eller flygplattform, s\u00e5som Landsat, Sentinel eller MODIS. Se till att bilderna inkluderar de n\u00f6dv\u00e4ndiga banden: n\u00e4ra-infrar\u00f6tt (NIR) och kortv\u00e5gigt infrar\u00f6tt (SWIR).<\/li>\r\n
  • F\u00f6rbearbeta bilderna:<\/strong> Beroende p\u00e5 datak\u00e4llan kan du beh\u00f6va f\u00f6rbehandla bilden f\u00f6r att korrigera f\u00f6r atmosf\u00e4riska, geometriska och radiometriska distorsioner. Konvertera de digitala siffrorna (DN) i bilden till spektrala reflektansv\u00e4rden.<\/li>\r\n
  • Ber\u00e4kna NDMI:<\/strong> F\u00f6r varje pixel i bilden, anv\u00e4nd NIR- och SWIR-reflektansv\u00e4rdena f\u00f6r att ber\u00e4kna NDMI med formeln: NDMI = (NIR \u2013 SWIR) \/ (NIR + SWIR).<\/li>\r\n
  • F\u00e4rgmappning:<\/strong> Tilldela en f\u00e4rgpalett till NDMI-v\u00e4rdena. Vanligtvis anv\u00e4nds en kontinuerlig f\u00e4rgskala, fr\u00e5n en f\u00e4rg (t.ex. r\u00f6d) f\u00f6r l\u00e5ga NDMI-v\u00e4rden (vilket indikerar l\u00e5g fukthalt) till en annan f\u00e4rg (t.ex. gr\u00f6n) f\u00f6r h\u00f6ga NDMI-v\u00e4rden (vilket indikerar h\u00f6g fukthalt). Du kan anv\u00e4nda programvara som QGIS, ArcGIS eller programmeringsbibliotek som Pythons Rasterio och Matplotlib f\u00f6r att skapa en f\u00e4rgkarta.<\/li>\r\n
  • Visualisera NDMI-kartan:<\/strong> Visa NDMI-kartan eller bilden med hj\u00e4lp av GIS-programvara, ett programmeringsbibliotek eller en onlineplattform. Detta g\u00f6r att du kan analysera den rumsliga f\u00f6rdelningen av vegetationens fukthalt och identifiera omr\u00e5den med vattenstress eller h\u00f6g fuktighet.<\/li>\r\n
  • Tolkning och analys:<\/strong> Anv\u00e4nd NDWI-visualiseringen f\u00f6r att bed\u00f6ma vegetationens h\u00e4lsa, \u00f6vervaka torka eller utv\u00e4rdera brandrisk. Du kan ocks\u00e5 j\u00e4mf\u00f6ra normaliserade differensvattenindexkartor fr\u00e5n olika tidsperioder f\u00f6r att analysera f\u00f6r\u00e4ndringar i vegetationens fukthalt \u00f6ver tid.<\/li>\r\n<\/ul>\r\n

    Kom ih\u00e5g att olika programvaruverktyg eller programmeringsbibliotek kan ha n\u00e5got olika arbetsfl\u00f6den, men den \u00f6vergripande processen kommer att vara likartad. Dessutom kan du l\u00e4gga \u00f6ver andra datalager, s\u00e5som markanv\u00e4ndning, h\u00f6jd eller administrativa gr\u00e4nser, f\u00f6r att f\u00f6rb\u00e4ttra din analys och b\u00e4ttre f\u00f6rst\u00e5 sambanden mellan vegetationens fukthalt och andra faktorer.\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

    Antalet vegetationsindex som st\u00f6ds av GeoPard v\u00e4xer kontinuerligt. GeoPard-teamet introducerar Normalized Difference Moisture Index (NDMI). Indexet best\u00e4mmer vegetationens vattenhalt\u2026<\/p>","protected":false},"author":210157960,"featured_media":5620,"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":[1586,1372,1377,1376,1378,1379],"tags":[1618,1619],"class_list":["post-5618","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product-features","category-blog","category-crop-monitoring","category-management-zones","category-remote-sensing","category-soil-data","tag-crop-monitoring","tag-normalized-difference-vegetation-index"],"acf":[],"yoast_head":"\nNormalized Difference Moisture Index - GeoPard Agriculture<\/title>\n<meta name=\"description\" content=\"GeoPard team introduces the Normalized Difference Moisture Index (NDMI). 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