{"id":5363,"date":"2022-07-11T13:11:00","date_gmt":"2022-07-11T11:11:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=5363"},"modified":"2026-09-13T10:54:52","modified_gmt":"2026-09-13T08:54:52","slug":"hur-satellitbilder-hjalper-till-vid-overvakning-av-grodor","status":"publish","type":"post","link":"https:\/\/geopard.tech\/swe\/blog\/how-satellite-imagery-help-in-crop-monitoring\/","title":{"rendered":"Hur satellitbilder hj\u00e4lper till vid \u00f6vervakning av gr\u00f6dor"},"content":{"rendered":"<p>Satellitbilder \u00e4r en av de mest m\u00e5ngsidiga funktioner som kan implementeras inom jordbruksproduktionen f\u00f6r att f\u00f6rb\u00e4ttra beslutsprocessen. Att fatta beslut, baserat p\u00e5 en stor m\u00e4ngd data, kan hj\u00e4lpa jordbrukare, agronomer eller r\u00e5dgivare att f\u00f6rst\u00e5 situationen och de processer som sker p\u00e5 de jordbruksf\u00e4lt som \u00e4r f\u00f6rem\u00e5l f\u00f6r \u00f6vervakning.<\/p>\n<h2>Vad \u00e4r satellitbilder?<\/h2>\n<p>Satellitbilder, \u00e4ven k\u00e4nda som satellitbaserad fj\u00e4rranalys, \u00e4r processen att anv\u00e4nda satellitbilder f\u00f6r att samla in information om jordens yta, atmosf\u00e4r och hav. Denna teknik inneb\u00e4r anv\u00e4ndning av <a href=\"https:\/\/www.nasa.gov\/audience\/forstudents\/5-8\/features\/nasa-knows\/what-is-a-satellite-58.html\">satelliter<\/a> utrustade med specialiserade sensorer och kameror som kan ta h\u00f6guppl\u00f6sta bilder av jorden fr\u00e5n rymden.<\/p>\n<p>Bilderna som tas av satelliterna kan anv\u00e4ndas f\u00f6r en m\u00e4ngd olika till\u00e4mpningar, inklusive \u00f6vervakning av v\u00e4derm\u00f6nster, sp\u00e5rning av f\u00f6r\u00e4ndringar i milj\u00f6n, kartl\u00e4ggning av markanv\u00e4ndning och vegetation samt bed\u00f6mning av effekterna av naturkatastrofer. De kan ocks\u00e5 anv\u00e4ndas f\u00f6r milit\u00e4ra och underr\u00e4ttelse\u00e4ndam\u00e5l.<\/p>\n<p>Satellitbilder med dess f\u00f6rdelar kan visa situationer som inte kan ses med regelbunden observation. Regelbundna observationer kan vara mycket kr\u00e4vande vad g\u00e4ller m\u00e4ngden implementerad arbetskraft, ekonomi och tid.<\/p>\n<p>\u00c4ven med regelbundna observationer gjorda under gr\u00f6dornas tillv\u00e4xtperiod finns det flera saker som inte kan ses med blotta \u00f6gat, s\u00e5som den tidiga utvecklingen av <a href=\"https:\/\/geopard.tech\/swe\/blogg\/hur-man-bekampar-vaxtsjukdomar-med-smart-jordbruk\/\">sjukdom<\/a> och skador orsakade av skadedjuren som i slut\u00e4ndan resulterar i klorofyllnedbrytning p\u00e5 cellniv\u00e5.<\/p>\n<p>Med integration och ber\u00e4kning av spektralband som \u00e4r osynliga f\u00f6r det m\u00e4nskliga \u00f6gat kan odlare och r\u00e5dgivare enkelt visualisera klorofyllnedbrytning innan synliga sjukdoms- eller skadedjurssymptom uppst\u00e5r p\u00e5 v\u00e4xterna.<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"5376\" data-permalink=\"https:\/\/geopard.tech\/swe\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-2-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?fit=1920%2C1040&amp;ssl=1\" data-orig-size=\"1920,1040\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Multispectral Satellite Imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5376 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Multispektrala satellitbilder\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.2-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>Dessa f\u00f6rdelar inom gr\u00f6d\u00f6vervakning \u00e4r f\u00f6rdelaktiga med dagens teknik, som g\u00f6r det m\u00f6jligt att integrera implementeringen av s\u00e5dan information i geografiska informationssystem, vilket resulterar i att en snabb och h\u00f6gkvalitativ datam\u00e4ngd skapas som \u00e4r redo att anv\u00e4ndas i beslutsprocesser g\u00e4llande jordbruksproduktionssystem.<\/p>\n<p>F\u00f6rutom att fatta informationsbaserade beslut kan satellitbilder anv\u00e4ndas f\u00f6r rapportering, registrering och integrering med olika datam\u00e4ngder (sjukdoms- och skadedjursmodeller, <a href=\"https:\/\/geopard.tech\/swe\/avkastningsdata\/\">avkastningskartor<\/a>, skadedjurs\u00f6vervakning, g\u00f6dslingskartor och s\u00e5 vidare) f\u00f6r att skapa ett \u00e4nnu mer funktionellt system f\u00f6r gr\u00f6d\u00f6vervakning och hur bonden eller andra yrkesverksamma ser gr\u00f6dornas framsteg under deras odlingsperiod.<\/p>\n<h2>Hur anv\u00e4nds satellitbilder inom jordbruket?<\/h2>\n<p>Bilderna kan anv\u00e4ndas f\u00f6r att modellera och ber\u00e4kna spektralindex som senare likst\u00e4lls f\u00f6r visualisering i form av f\u00e4rgsyntes, antingen i den synliga delen av spektrumet eller genom att inkludera andra v\u00e5gl\u00e4ngder. Korrekt vald f\u00e4rgsyntes kan avsl\u00f6ja gr\u00f6dors tillv\u00e4xt, stress eller jordm\u00e5n. <a href=\"https:\/\/geopard.tech\/swe\/blogg\/hur-man-hanterar-vattenerosion\/\">erosion<\/a> visas med olika f\u00e4rger.<\/p>\n<p>Spektralindex \u00e4r kombinationer av spektral reflektion av tv\u00e5 eller flera v\u00e5gl\u00e4ngder f\u00f6r att visa intressanta egenskaper. Gr\u00f6dindex anv\u00e4nds oftast inom jordbruket, men indexen anv\u00e4nds f\u00f6r att identifiera br\u00e4nda omr\u00e5den, andra artificiella egenskaper, vatten och andra geologiska egenskaper.<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"5377\" data-permalink=\"https:\/\/geopard.tech\/swe\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-3-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?fit=1920%2C1040&amp;ssl=1\" data-orig-size=\"1920,1040\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Hyperspectral Satellite Imagery\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5377 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Hyperspektrala satellitbilder\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?w=1920&amp;ssl=1 1920w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.3-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p><strong>Anv\u00e4ndbara spektrala index inom gr\u00f6doproduktion inkluderar:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/geopard.tech\/swe\/blogg\/vegetationsindex-hur-anvands-de-inom-precisionsjordbruk\/\">NDVI<\/a> (Normaliserat skillnadsvegetationsindex).<\/li>\n<li>EVI (F\u00f6rb\u00e4ttrat vegetationsindex).<\/li>\n<li>RENDVI eller NDRE (Red Edge Normalized Difference Vegetation Index).<\/li>\n<li>GNDVI (Det gr\u00f6na normaliserade skillnadsvegetationsindexet).<\/li>\n<li>MSI eller NDWI (Moisture Stress Index).<\/li>\n<li>LAI (L\u00f6vareaindex).<\/li>\n<\/ul>\n<p>NDVI \u00e4r ett av de mest anv\u00e4nda indexen och anv\u00e4nds ofta f\u00f6r att granska en gr\u00f6das initialtillst\u00e5nd. Andra index arbetar med vissa egenskaper, s\u00e5 resultaten \u00e4r specifika f\u00f6r specifika jordbruksplatser, det \u00e4r viktigt att arbeta med markvegetationens historia.<\/p>\n<h2>NDVI (Normaliserat skillnadsvegetationsindex)<\/h2>\n<p>Detta index \u00e4r ett m\u00e5tt p\u00e5 gr\u00f6n vegetation och \u00e4r generellt det mest anv\u00e4nda indexet. Bladen reflekterar infrar\u00f6tt ljus (NIR) och anv\u00e4nder endast synligt ljus f\u00f6r fotosyntes. Det betyder att en frisk v\u00e4xt med god fotosynteshastighet kan analyseras genom att j\u00e4mf\u00f6ra NIR med synligt r\u00f6tt ljus.<\/p>\n<p>Oh\u00e4lsosam vegetation reflekterar mer synligt ljus och s\u00e4nker NIR (n\u00e4ringsintrycket). Frisk vegetation minskar en del av det synliga ljuset som faller p\u00e5 den. NDVI \u00e4r dock k\u00e4nslig f\u00f6r effekterna av jord (ljus och f\u00e4rg), molnt\u00e4cke och skugga. Dessutom kan NDVI-v\u00e4rdena vara felaktiga i situationer med t\u00e4t vegetation.<\/p>\n<p><strong>EVI (F\u00f6rb\u00e4ttrat vegetationsindex)<\/strong><\/p>\n<p>Detta index \u00e4r standarden f\u00f6r spektra med moderat uppl\u00f6sning \u2013 ett instrument som anv\u00e4nds p\u00e5 Terra- och Aqua-satelliterna. EVI presenterar ett alternativ till NDVI som h\u00e4nvisar till n\u00e5gra av dess brister, t.ex. jordm\u00e5ns- och atmosf\u00e4riska begr\u00e4nsningar, genom att optimera reflektionsf\u00f6rm\u00e5gan hos l\u00f6vvegetation.<\/p>\n<p>Den anv\u00e4nder den bl\u00e5 delen av det synliga spektrumet f\u00f6r signalkorrigering, vilket minskar effekterna av ovan n\u00e4mnda begr\u00e4nsningar, inklusive spridning av elektromagnetisk str\u00e5lning fr\u00e5n aerosoler.<\/p>\n<p><strong>RENDVI eller NDRE (Red Edge Normalized Difference Vegetation Index)<\/strong><\/p>\n<p>Detta index \u00e4r baserat p\u00e5 standard NDVI-indexet, men med modifieringar. RENDVI \u00e4r mycket anv\u00e4ndbart inom precisionsjordbruk, skogs\u00f6vervakning och detektering av gr\u00f6dorstress.<\/p>\n<p>Dess effektivitet beror p\u00e5 att v\u00e5gl\u00e4ngder som faller inom det r\u00f6da \u00e4ndbandet inkluderas, snarare \u00e4n v\u00e5gl\u00e4ngder som motsvarar v\u00e4rdet f\u00f6r reflektion och absorption. Det \u00e4r s\u00e4rskilt bekv\u00e4mt f\u00f6r att detektera sm\u00e5 f\u00f6r\u00e4ndringar i vegetationens tillst\u00e5nd.<\/p>\n<p><strong>GNDVI (Det gr\u00f6na normaliserade skillnadsvegetationsindexet)<\/strong><\/p>\n<p>Detta index liknar NDVI-indexet och m\u00e4ter ljusets reflektion i den gr\u00f6na delen av spektrumet i v\u00e5gl\u00e4ngdsomr\u00e5det 540 till 570 nanometer, ist\u00e4llet f\u00f6r den r\u00f6da delen av spektrumet. Detta g\u00f6r indexet mer k\u00e4nsligt f\u00f6r klorofyllinneh\u00e5llet i de gr\u00f6na delarna av gr\u00f6dorna.<\/p>\n<p><strong>MSI (Fuktsp\u00e4nningsindex)<\/strong><\/p>\n<p>Detta index \u00e4r k\u00e4nsligt f\u00f6r \u00f6kningen av vattenhalten i bladen. MSI-indexet anv\u00e4nds f\u00f6r att uppt\u00e4cka vattenbriststress och \u00e4r en bra indikator p\u00e5 gr\u00f6df\u00f6rh\u00e5llanden, ofta anv\u00e4nd f\u00f6r gr\u00f6dmodellering, brandanalys och ekosystemfysiologi. H\u00f6ga v\u00e4rden indikerar vattenstress och l\u00e4gre vattenhalt.<\/p>\n<p><strong>LAI (L\u00f6vareaindex)<\/strong><\/p>\n<p>Detta index anv\u00e4nds f\u00f6r att uppskatta bladyta och f\u00f6r att f\u00f6ruts\u00e4ga v\u00e4xttillv\u00e4xt och avkastning.<\/p>\n<h2>Typer av satellitbilder av gr\u00f6dor<\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Satelliter och teknikleverant\u00f6rer<\/b><\/td>\n<td><b>Typ av satellitbilder<\/b><\/td>\n<td><b>Upprepa cykeln<\/b><\/td>\n<td><b>Spatial uppl\u00f6sning<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Landsat4-9<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTISPEKTRAL, PANKROMATISK<\/span><\/td>\n<td><span style=\"font-weight: 400;\">8 dagar<\/span><\/td>\n<td><span style=\"font-weight: 400;\">15, 30, 100 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Sentinel-2,<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTISPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5 dagar<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Planetskop<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTISPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Dagligen<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3\u20134 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Planet SkySat<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PANKROMATISK, MULTISPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Dagligen<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,5, 0,71\u20130,82 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Airbus Plejader<\/span><\/td>\n<td><span style=\"font-weight: 400;\">MULTISPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Dagligen<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,5 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">V\u00e4djar NEO<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PANKROMATISK, MULTISPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">40 minuter efter beg\u00e4ran<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ICEYE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">SYNTETISK BL\u00c4DDARADAR<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Dagligen<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,25 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Hyperion<\/span><\/td>\n<td><span style=\"font-weight: 400;\">HYPERSPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ej till\u00e4mpligt<\/span><\/td>\n<td><span style=\"font-weight: 400;\">30 meter<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Prisma<\/span><\/td>\n<td><span style=\"font-weight: 400;\">HYPERSPEKTRAL<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Ej till\u00e4mpligt<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 meter<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Anv\u00e4ndningsfall f\u00f6r satellitbilder<\/b><\/h2>\n<p>H\u00e4r \u00e4r n\u00e5gra viktiga anv\u00e4ndningsomr\u00e5den f\u00f6r satellitbilder vid \u00f6vervakning av gr\u00f6dor:<\/p>\n<p><b>V\u00e4rmebilder<\/b><\/p>\n<p><span style=\"font-weight: 400;\">V\u00e4rmen som avges fr\u00e5n objekt i markniv\u00e5 kan ses i termografi tagen fr\u00e5n luften, vilket ocks\u00e5 avsl\u00f6jar temperaturvariationer som motsvarar gr\u00f6dans stress. Borttagning av on\u00f6diga element, s\u00e5som sv\u00e4ngutrustning, fr\u00e5n bilden genom kalibrering och bildkorrigering f\u00f6rhindrar dataf\u00f6rskjutning. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Svalare omr\u00e5den visar lila och varmare omr\u00e5den ser gula ut i den slutliga bilden. V\u00e4rmeavbildning \u00e4r anv\u00e4ndbar f\u00f6r att hitta l\u00e4ckor, stopp och andra bevattningsproblem eftersom vatten kyler ner vegetation. V\u00e4rmeavbildning hj\u00e4lper odlare att identifiera presymptomatiska sjukdomar och skadedjurstryck och reagera med mer snabba och fokuserade insatser genom att avsl\u00f6ja sm\u00e5 f\u00f6r\u00e4ndringar i bladytans temperatur.<\/span><\/p>\n<p><b>Jordfuktighet<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Jordbruket m\u00e5ste ta h\u00e4nsyn till markfuktighet. F\u00f6r precisionsjordbruk (i skala f\u00f6r enskilda f\u00e4lt) och med tanke p\u00e5 att modelleringen av gr\u00f6dor kan f\u00f6rb\u00e4ttras, \u00e4r tillg\u00e5ngen till h\u00f6guppl\u00f6sta kartor \u00f6ver markfuktighet s\u00e4rskilt avg\u00f6rande. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">P\u00e5 grund av observationernas d\u00e5liga rumsliga uppl\u00f6sning och grunt djup har markfuktighetsprodukter som genereras fr\u00e5n satelliter hittills anv\u00e4nts sparsamt i jordbruksbeslutsst\u00f6d p\u00e5 g\u00e5rds- eller f\u00e4ltniv\u00e5. Men om det kan leverera relevanta data om acceptabla tidsm\u00e4ssiga och rumsliga dimensioner, f\u00f6rv\u00e4ntas markfuktighet fr\u00e5n satelliter ha stor potential.<\/span><\/p>\n<p><b>Uppl\u00f6sning<\/b><\/p>\n<p><span style=\"font-weight: 400;\">H\u00f6guppl\u00f6sta satellitbilder fr\u00e5n satelliter i l\u00e5g omloppsbana har nyligen blivit mer utvecklade och tillg\u00e4ngliga, vilket ger ytterligare potential f\u00f6r fenotypningstill\u00e4mpningar. Denna artikel illustrerar hur satellitfotografering anv\u00e4nds vid fenotypning av gr\u00f6dor och jordbruksproduktion, och den identifierar v\u00e4xtegenskaper som kan bed\u00f6mas med hj\u00e4lp av h\u00f6guppl\u00f6sta satellitdata. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Artikeln behandlar f\u00f6rdelarna med att anv\u00e4nda satellitbaserad fenotypning i gr\u00f6dof\u00f6r\u00e4dlingsprogram samt nackdelarna, s\u00e5som molnblockering. Den utforskar ocks\u00e5 potentiella anv\u00e4ndningsomr\u00e5den f\u00f6r h\u00f6guppl\u00f6st satellitavbildning som ett fenotypningsverktyg i framtiden. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">F\u00f6r att hj\u00e4lpa v\u00e4xtf\u00f6r\u00e4dlare att v\u00e4lja h\u00f6gavkastande, stresst\u00e5liga sorter som kan bidra till att m\u00f6ta den globala livsmedelsefterfr\u00e5gan samtidigt som de hanterar klimatf\u00f6r\u00e4ndringarna, kan h\u00f6guppl\u00f6sta satellitbilder anv\u00e4ndas som ett fenotypningsverktyg f\u00f6r utv\u00e4rdering av gr\u00f6dsorter.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> <img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"5378\" data-permalink=\"https:\/\/geopard.tech\/swe\/blog\/how-satellite-imagery-help-in-crop-monitoring\/73-4-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?fit=2400%2C1300&amp;ssl=1\" data-orig-size=\"2400,1300\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Satellite monitoring of crops\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"alignnone wp-image-5378 size-large\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Satellit\u00f6vervakning\" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1536%2C832&amp;ssl=1 1536w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=2048%2C1109&amp;ssl=1 2048w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?resize=1200%2C650&amp;ssl=1 1200w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/07\/73.4-min.jpg?w=1620&amp;ssl=1 1620w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/span><\/p>\n<p><b>Till\u00e4mpningar av satellitbilder<\/b><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/geopard.tech\/swe\/\">GeoPard<\/a> f\u00f6rm\u00e5gor och<a href=\"https:\/\/geopard.tech\/swe\/blogg\/hur-satellitbilder-hjalper-till-vid-overvakning-av-grodor\/\"> satellitavbildningsapplikationer erbjuder<\/a> anv\u00e4ndarna att visualisera, normalisera, analysera och h\u00e4rleda insikter direkt fr\u00e5n jordbrukslotterna f\u00f6r att f\u00f6rb\u00e4ttra gr\u00f6doproduktionen. Denna dataanv\u00e4ndning kan g\u00f6ras med hj\u00e4lp av f\u00e4rdiga GeoPard-algoritmer eller genom att skapa egna algoritmer f\u00f6r att g\u00f6ra dem anv\u00e4ndbara f\u00f6r agronomi. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dessa algoritmer m\u00f6jligg\u00f6r utv\u00e4rdering av gr\u00f6dors tillv\u00e4xt, stress etc. (se foto) eller till och med skapande av ordinationskartor: till exempel kartor \u00f6ver kv\u00e4ve-VR-applikationer, kartor \u00f6ver v\u00e4xtskyddsmedel f\u00f6r sprutning.<\/span><\/p>\n<hr \/>\n<h2>Vanliga fr\u00e5gor och svar<\/h2>\n<hr \/>\n<p><strong>1. Hur f\u00e5r man satellitbilder f\u00f6r en g\u00e5rd?<\/strong><\/p>\n<p>F\u00f6r att f\u00e5 det till din g\u00e5rd, s\u00f6k efter leverant\u00f6rer, registrera dig och f\u00e5 \u00e5tkomst till deras databas eller portal. Ange din g\u00e5rds plats och \u00f6nskade parametrar f\u00f6r att h\u00e4mta relevanta bilder f\u00f6r jordbruks\u00f6vervakning.<\/p>\n<p><strong>2. Varf\u00f6r \u00e4r satellitbilder anv\u00e4ndbara f\u00f6r att f\u00f6rst\u00e5 n\u00e4ringsv\u00e4var?<\/strong><\/p>\n<p>Det \u00e4r anv\u00e4ndbart f\u00f6r att f\u00f6rst\u00e5 n\u00e4ringsv\u00e4var tack vare dess f\u00f6rm\u00e5ga att ge en bred och helt\u00e4ckande bild av ekosystem. Genom att ta storskaliga bilder av land och vattendrag g\u00f6r det det m\u00f6jligt f\u00f6r forskare att observera och analysera den rumsliga f\u00f6rdelningen av olika livsmilj\u00f6er och resurser.<\/p>\n<p>Detta hj\u00e4lper i sin tur till att studera interaktionerna mellan olika arter, identifiera viktiga f\u00f6dof\u00f6rh\u00e5llanden och f\u00f6rst\u00e5 energifl\u00f6det genom n\u00e4ringsv\u00e4var.<\/p>\n<p>Det hj\u00e4lper till att reda ut komplex ekologisk dynamik och bidrar till en djupare f\u00f6rst\u00e5else av ekosystemens funktion och bevarandeinsatser.<\/p>\n<p><strong>3. Hur dyra \u00e4r satellitbilder?<\/strong><\/p>\n<p>Kostnaden varierar beroende p\u00e5 flera faktorer. Dessa inkluderar leverant\u00f6r, uppl\u00f6sning, insamlingsfrekvens och omfattning av t\u00e4ckning som beh\u00f6vs. Priserna kan variera fr\u00e5n \u00f6verkomliga alternativ f\u00f6r bilder med l\u00e5g uppl\u00f6sning till dyrare alternativ f\u00f6r h\u00f6g uppl\u00f6sning och realtids\u00f6vervakning.<\/p>\n<p>Dessutom kan specialiserade tj\u00e4nster eller anpassade dataf\u00f6rfr\u00e5gningar medf\u00f6ra extra kostnader. Det \u00e4r l\u00e4mpligt att utforska olika leverant\u00f6rer och deras prismodeller f\u00f6r att hitta en satellitbildl\u00f6sning som passar dina specifika krav och din budget.<\/p>\n<p><strong>4. Vad \u00e4r infrar\u00f6da satellitbilder? Hur l\u00e4ser man dem?<\/strong><\/p>\n<p>Den f\u00e5ngar infrar\u00f6d str\u00e5lning som avges av f\u00f6rem\u00e5l och ytor p\u00e5 jordens yta. Den ger v\u00e4rdefulla insikter i temperaturvariationer och termiska m\u00f6nster.<\/p>\n<p>F\u00f6r att l\u00e4sa infrar\u00f6da satellitbilder m\u00e5ste man f\u00f6rst\u00e5 att varmare objekt ser ljusare ut i bilden, medan kallare objekt ser m\u00f6rkare ut. Genom att analysera dessa temperaturvariationer kan man bed\u00f6ma molnformationer, identifiera skillnader i land- och vattentemperatur, uppt\u00e4cka skogsbr\u00e4nder och till och med \u00f6vervaka havsstr\u00f6mmar.<\/p>\n<p>Att f\u00f6rst\u00e5 f\u00e4rgskalan och tolka ljusstyrkeniv\u00e5erna p\u00e5 bilderna hj\u00e4lper till att utvinna meningsfull information fr\u00e5n infrar\u00f6da satellitbilder.<\/p>","protected":false},"excerpt":{"rendered":"<p>Satellitbilder \u00e4r en av de mest m\u00e5ngsidiga funktioner som kan implementeras inom jordbruksproduktionen f\u00f6r att f\u00f6rb\u00e4ttra beslutsprocessen. Att fatta beslut,\u2026<\/p>","protected":false},"author":210157960,"featured_media":5375,"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":[1661,1380],"tags":[1599],"class_list":["post-5363","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-satellite-imagery","category-whats","tag-remote-sensing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - 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