{"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":"kuidas-satelliidipildid-aitavad-pollukultuuride-jalgimisel","status":"publish","type":"post","link":"https:\/\/geopard.tech\/est\/blog\/how-satellite-imagery-help-in-crop-monitoring\/","title":{"rendered":"Kuidas satelliidipildid aitavad p\u00f5llukultuuride j\u00e4lgimisel"},"content":{"rendered":"<p>Satelliidipildid on \u00fcks mitmek\u00fclgsemaid funktsioone, mida saab p\u00f5llumajandustootmises rakendada otsustusprotsessi parandamiseks. Suure hulga andmete p\u00f5hjal otsuste tegemine aitab p\u00f5llumeestel, agronoomidel v\u00f5i n\u00f5ustajatel m\u00f5ista olukorda ja protsesse, mis toimuvad j\u00e4lgitavatel p\u00f5llumajandusp\u00f5ldudel.<\/p>\n<h2>Mis on satelliidipildistamine?<\/h2>\n<p>Satelliidipildistamine, tuntud ka kui satelliit-kaugseire, on protsess, mille k\u00e4igus satelliidipiltide abil kogutakse teavet Maa pinna, atmosf\u00e4\u00e4ri ja ookeanide kohta. See tehnoloogia h\u00f5lmab j\u00e4rgmiste tehnoloogiate kasutamist: <a href=\"https:\/\/www.nasa.gov\/audience\/forstudents\/5-8\/features\/nasa-knows\/what-is-a-satellite-58.html\">satelliidid<\/a> varustatud spetsiaalsete andurite ja kaameratega, mis suudavad kosmosest j\u00e4\u00e4dvustada Maast k\u00f5rglahutusega pilte.<\/p>\n<p>Satelliitide j\u00e4\u00e4dvustatud pilte saab kasutada mitmesugustes rakendustes, sealhulgas ilmastikumustrite j\u00e4lgimiseks, keskkonnamuutuste j\u00e4lgimiseks, maakasutuse ja taimestiku kaardistamiseks ning loodus\u00f5nnetuste m\u00f5ju hindamiseks. Neid saab kasutada ka s\u00f5jalistel ja luure eesm\u00e4rkidel.<\/p>\n<p>Satelliidipildistamine oma eelistega v\u00f5ib tekitada olukordi, mida regulaarse vaatlusega ei ole v\u00f5imalik n\u00e4ha. Regulaarsed vaatlused v\u00f5ivad olla v\u00e4ga n\u00f5udlikud nii t\u00f6\u00f6j\u00f5u, raha kui ka ajakulu osas.<\/p>\n<p>Isegi p\u00f5llukultuuride kasvuperioodil regulaarselt tehtavate vaatluste korral on mitmeid asju, mida palja silmaga ei ole v\u00f5imalik n\u00e4ha, n\u00e4iteks varajane areng <a href=\"https:\/\/geopard.tech\/est\/blogi\/kuidas-nutika-pollumajanduse-abil-pollukultuuride-haigusi-torjuda\/\">haigus<\/a> ja kahjurite tekitatud kahjustused, mis l\u00f5ppkokkuv\u00f5ttes p\u00f5hjustavad klorof\u00fclli lagunemist raku tasandil.<\/p>\n<p>Inimsilmale n\u00e4htamatute spektraalribade integreerimise ja arvutamise abil saavad kasvatajad ja n\u00f5ustajad klorof\u00fclli lagunemist enne taimedel n\u00e4htavate haigus- v\u00f5i kahjurikahjustuste s\u00fcmptomite ilmnemist h\u00f5lpsalt visualiseerida.<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"5376\" data-permalink=\"https:\/\/geopard.tech\/est\/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=\"Multispektraalsed satelliidipildid\" 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>Need p\u00f5llukultuuride seire eelised on t\u00e4nap\u00e4evaste tehnoloogiate puhul kasulikud, v\u00f5imaldades sellise teabe integreerimist geograafilistesse infos\u00fcsteemidesse, mille tulemuseks on kiire ja kvaliteetne andmekogum, mida saab kasutada p\u00f5llumajanduslike tootmiss\u00fcsteemidega seotud otsustusprotsessides.<\/p>\n<p>Lisaks teabep\u00f5histe otsuste tegemisele saab satelliidipilte kasutada aruandluseks, arvestuse pidamiseks ja integreerimiseks erinevate andmekogumitega (haiguste ja kahjurite mudelid, <a href=\"https:\/\/geopard.tech\/est\/saagikuse-andmed\/\">saagikaardid<\/a>, kahjurite seire, v\u00e4etamiskaardid jne), et luua veelgi funktsionaalsem p\u00f5llukultuuride seires\u00fcsteem ja viis, kuidas p\u00f5llumees v\u00f5i teised spetsialistid n\u00e4evad p\u00f5llukultuuride edenemist kasvuperioodil.<\/p>\n<h2>Kuidas satelliidipilte p\u00f5llumajanduses kasutatakse?<\/h2>\n<p>Pilte saab kasutada spektraalindeksite modelleerimiseks ja arvutamiseks, mida hiljem saab kasutada visualiseerimiseks v\u00e4rvis\u00fcnteesi kujul, kas spektri n\u00e4htavas osas v\u00f5i teiste lainepikkuste lisamise teel. \u00d5igesti valitud v\u00e4rvis\u00fcntees v\u00f5ib paljastada p\u00f5llukultuuride kasvu, stressi v\u00f5i mulla seisundi. <a href=\"https:\/\/geopard.tech\/est\/blogi\/kuidas-toime-tulla-vee-erosiooniga\/\">erosioon<\/a> kuvatakse erinevate v\u00e4rvidega.<\/p>\n<p>Spektraalsed indeksid on kahe v\u00f5i enama lainepikkuse spektraalse peegelduse kombinatsioonid huvipakkuvate tunnuste n\u00e4itamiseks. P\u00f5llukultuuriindekseid kasutatakse k\u00f5ige sagedamini p\u00f5llumajanduses, kuid indekseid kasutatakse ka p\u00f5lenud alade, muude kunstlike tunnuste, vee ja muude geoloogiliste tunnuste tuvastamiseks.<\/p>\n<p><img data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"5377\" data-permalink=\"https:\/\/geopard.tech\/est\/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=\"H\u00fcperspektraalsed satelliidipildid\" 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>Kasulikud spektraaln\u00e4itajad p\u00f5llukultuuride tootmises on j\u00e4rgmised:<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/geopard.tech\/est\/blogi\/taimestiku-indeks-ja-kuidas-neid-tappispollumajanduses-kasutatakse\/\">NDVI<\/a> (Normaliseeritud taimestiku erinevuse indeks).<\/li>\n<li>EVI (t\u00e4iustatud taimestiku indeks).<\/li>\n<li>RENDVI v\u00f5i NDRE (punase serva normaliseeritud erinevuse taimestikuindeks).<\/li>\n<li>GNDVI (rohelise normaliseeritud erinevuse taimestiku indeks).<\/li>\n<li>MSI v\u00f5i NDWI (Moisture Stress Index).<\/li>\n<li>LAI (lehepindala indeks).<\/li>\n<\/ul>\n<p>NDVI on \u00fcks enimkasutatavaid indekseid ja seda kasutatakse sageli p\u00f5llukultuuri algseisundi \u00fclevaatamiseks. Teised indeksid t\u00f6\u00f6tavad teatud omadustega, seega on tulemused spetsiifilised ja seotud konkreetsete p\u00f5llumajanduslike kohtadega, mist\u00f5ttu on oluline arvestada maismaataimestiku ajalooga.<\/p>\n<h2>NDVI (normaliseeritud taimestiku erinevuse indeks)<\/h2>\n<p>See indeks m\u00f5\u00f5dab rohelist taimestikku ja on \u00fcldiselt k\u00f5ige laialdasemalt kasutatav indeks. Lehed peegeldavad infrapunavalgust (NIR) ja kasutavad fotos\u00fcnteesiks ainult n\u00e4htavat valgust. See t\u00e4hendab, et tervet taime, millel on hea fotos\u00fcnteesi kiirus, saab anal\u00fc\u00fcsida, v\u00f5rreldes NIR-i n\u00e4htava punase valgusega.<\/p>\n<p>Ebatervislik taimestik peegeldab rohkem n\u00e4htavat valgust ja alandab l\u00e4hiinfrapunakiirgust (NIR). Tervislik taimestik v\u00e4hendab osa talle langevast n\u00e4htavast valgusest. NDVI on aga tundlik mulla (valguse ja v\u00e4rvi), pilvkatte ja varju m\u00f5jude suhtes. Samuti v\u00f5ivad NDVI v\u00e4\u00e4rtused olla valed tiheda taimestiku korral.<\/p>\n<p><strong>EVI (t\u00e4iustatud taimestiku indeks)<\/strong><\/p>\n<p>See indeks on m\u00f5\u00f5duka lahutusv\u00f5imega spektrite standard \u2013 instrument, mida kasutatakse Terra ja Aqua satelliitidel. EVI pakub NDVI-le alternatiivi, mis viitab m\u00f5nele selle puudusele, nt pinnase ja atmosf\u00e4\u00e4ri piirangud, optimeerides lehtede peegelduvust.<\/p>\n<p>See kasutab signaali korrigeerimiseks n\u00e4htava spektri sinist osa, v\u00e4hendades eespool nimetatud piirangute, sealhulgas aerosoolide poolt hajuva elektromagnetkiirguse m\u00f5ju.<\/p>\n<p><strong>RENDVI v\u00f5i NDRE (punase serva normaliseeritud erinevuse taimestikuindeks)<\/strong><\/p>\n<p>See indeks p\u00f5hineb standardsel NDVI indeksil, kuid muudatustega. RENDVI on v\u00e4ga kasulik t\u00e4ppisp\u00f5llumajanduses, metsade seires ja p\u00f5llukultuuride stressi tuvastamisel.<\/p>\n<p>Selle efektiivsus tuleneb punasesse otsribasse langevate lainepikkuste kaasamisest, mitte peegelduse ja neeldumise v\u00e4\u00e4rtusele vastavate lainepikkuste kaasamisest. See on eriti mugav taimestiku seisundi v\u00e4ikeste muutuste tuvastamiseks.<\/p>\n<p><strong>GNDVI (rohelise normaliseeritud taimestiku erinevusindeks)<\/strong><\/p>\n<p>See indeks sarnaneb NDVI indeksiga ja m\u00f5\u00f5dab valguse peegeldust spektri rohelises osas lainepikkuste vahemikus 540\u2013570 nanomeetrit, mitte spektri punases osas. See muudab indeksi tundlikumaks p\u00f5llukultuuride roheliste osade klorof\u00fclli sisalduse suhtes.<\/p>\n<p><strong>MSI (niiskusstressi indeks)<\/strong><\/p>\n<p>See indeks on tundlik lehtede veesisalduse suurenemise suhtes. MSI indeksit kasutatakse veepuuduse stressi tuvastamiseks ja see on hea n\u00e4itaja p\u00f5llukultuuride tingimuste kohta, mida sageli kasutatakse p\u00f5llukultuuride modelleerimiseks, tulekahjude anal\u00fc\u00fcsimiseks ja \u00f6kos\u00fcsteemi f\u00fcsioloogia jaoks. K\u00f5rged v\u00e4\u00e4rtused n\u00e4itavad veestressi ja madalamat veesisaldust.<\/p>\n<p><strong>LAI (lehepinna indeks)<\/strong><\/p>\n<p>Seda indeksit kasutatakse lehtede pindala hindamiseks ning taimede kasvu ja saagikuse ennustamiseks.<\/p>\n<h2>P\u00f5llukultuuride satelliidipiltide t\u00fc\u00fcbid<\/h2>\n<table>\n<tbody>\n<tr>\n<td><b>Satelliidid ja tehnoloogiapakkujad<\/b><\/td>\n<td><b>Satelliidipiltide t\u00fc\u00fcp<\/b><\/td>\n<td><b>Korda ts\u00fcklit<\/b><\/td>\n<td><b>Ruumiline eraldusv\u00f5ime<\/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, MULTISPEKTRAALNE, PANKROMAATILINE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">8 p\u00e4eva<\/span><\/td>\n<td><span style=\"font-weight: 400;\">15, 30, 100 meetrit<\/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, MULTISPEKTRAALNE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5 p\u00e4eva<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10 meetrit<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Planeedi ulatus<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RGB, MULTISPEKTRAALNE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Igap\u00e4evane<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3-4 kuud<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Planeet SkySat<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PANKROMAATILINE, MULTISPEKTRAALNE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Igap\u00e4evane<\/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;\">Airbusi Plejaadid<\/span><\/td>\n<td><span style=\"font-weight: 400;\">MULTISPEKTRAALNE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Igap\u00e4evane<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,5 meetrit<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Palub NEO-d<\/span><\/td>\n<td><span style=\"font-weight: 400;\">PANKROMAATILINE, MULTISPEKTRAALNE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">40 minutit p\u00e4rast taotluse esitamist<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 meetrit<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">ICEEYE<\/span><\/td>\n<td><span style=\"font-weight: 400;\">S\u00dcNTEETILISE AVAGA RADAR<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Igap\u00e4evane<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,25 m<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">H\u00fcperion<\/span><\/td>\n<td><span style=\"font-weight: 400;\">H\u00fcperspektriline<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Pole kohaldatav<\/span><\/td>\n<td><span style=\"font-weight: 400;\">30 meetrit<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Prisma<\/span><\/td>\n<td><span style=\"font-weight: 400;\">H\u00fcperspektriline<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Pole kohaldatav<\/span><\/td>\n<td><span style=\"font-weight: 400;\">0,3 meetrit<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><b>Satelliidipiltide kasutusjuhud<\/b><\/h2>\n<p>Siin on m\u00f5ned olulised satelliidipiltide kasutusalad p\u00f5llukultuuride seiramisel:<\/p>\n<p><b>Termopildid<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Maapinnal asuvate objektide kiirgavat soojust on n\u00e4ha \u00f5hust tehtud termofotodel, mis paljastavad ka temperatuurimuutused, mis vastavad p\u00f5llukultuuride stressile. Mittevajalike elementide, n\u00e4iteks p\u00f6\u00f6rdseadmete, eemaldamine pildilt kalibreerimise ja pildikorrektsiooni abil hoiab \u00e4ra andmete moonutamise. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">L\u00f5ppkujutisel on jahedamad piirkonnad lillad ja soojemad piirkonnad kollased. Termopildistamine on abiks lekete, ummistuste ja muude niisutusprobleemide leidmisel, kuna vesi jahutab taimestikku. Termopildistamine aitab kasvatajatel tuvastada s\u00fcmptomitele eelnevaid haigusi ja kahjureid ning reageerida \u00f5igeaegsemate ja sihip\u00e4rasemate sekkumistega, paljastades lehtede pinnatemperatuuri pisikesed muutused.<\/span><\/p>\n<p><b>Mulla niiskus<\/b><\/p>\n<p><span style=\"font-weight: 400;\">P\u00f5llumajandus peab arvestama mulla niiskusega. T\u00e4ppisp\u00f5llumajanduse rakenduste jaoks (\u00fcksikute p\u00f5ldude skaalal) ja saagikuse modelleerimise paranemise ootuses on k\u00f5rgresolutsiooniliste mulla niiskuskaartide k\u00e4ttesaadavus eriti oluline. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Vaatluste kehva ruumilise lahutusv\u00f5ime ja v\u00e4ikese s\u00fcgavuse t\u00f5ttu on satelliitidelt saadud mulla niiskusesisaldust seni v\u00e4he kasutatud p\u00f5llumajanduslike otsuste toetamiseks talu- v\u00f5i p\u00f5llutasandil. Kui aga satelliitidelt saadud mulla niiskusesisaldusel on v\u00f5imalik saada asjakohaseid andmeid vastuv\u00f5etavate ajaliste ja ruumiliste m\u00f5\u00f5tmetega, eeldatakse, et sellel on suur potentsiaal.<\/span><\/p>\n<p><b>Resolutsioon<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Madala orbiidiga satelliitidelt tehtavate k\u00f5rgresolutsiooniliste satelliidipiltide arendamine ja k\u00e4ttesaadavus on viimasel ajal paranenud, pakkudes uut potentsiaali fenot\u00fc\u00fcpimise rakenduste jaoks. See artikkel illustreerib, kuidas satelliitfotograafiat kasutatakse p\u00f5llukultuuride fenot\u00fc\u00fcpimisel ja p\u00f5llumajandustootmises, ning tuvastab taimede tunnused, mida saab hinnata k\u00f5rgresolutsiooniliste satelliidiandmete abil. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Artiklis k\u00e4sitletakse satelliidip\u00f5hise fenot\u00fc\u00fcpimise kasutamise eeliseid p\u00f5llukultuuride aretusprogrammides ja ka puudusi, n\u00e4iteks pilvede blokeerimist. Samuti uuritakse tulevikus suure eraldusv\u00f5imega satelliitkujutiste potentsiaalseid kasutusv\u00f5imalusi fenot\u00fc\u00fcpimise t\u00f6\u00f6riistana. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Selleks, et aidata taimekasvatajatel valida saagikaid ja stressitaluvaid sorte, mis aitavad rahuldada \u00fclemaailmset toidun\u00f5udlust ja samal ajal kliimamuutustega toime tulla, saab p\u00f5llukultuuride sortide hindamiseks fenot\u00fc\u00fcpimise vahendina kasutada k\u00f5rgresolutsiooniga satelliidipilte.<\/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\/est\/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=\"Satelliidiseire\" 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>Satelliidipiltide rakendused<\/b><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/geopard.tech\/est\/\">GeoPard<\/a> v\u00f5imed ja<a href=\"https:\/\/geopard.tech\/est\/blogi\/kuidas-satelliidipildid-aitavad-pollukultuuride-jalgimisel\/\"> satelliitpildistamise rakendused pakuvad<\/a> kasutajatel visualiseerida, normaliseerida, anal\u00fc\u00fcsida ja saada otse p\u00f5llumajandusmaat\u00fckkidelt teadmisi, et parandada p\u00f5llukultuuride tootmist. Seda andmete kasutamist saab teha kasutusvalmis GeoPardi algoritmide abil v\u00f5i luues oma algoritme, et muuta need agronoomias kasulikuks. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Need algoritmid v\u00f5imaldavad hinnata p\u00f5llukultuuride kasvu, stressi jne (vt fotot) v\u00f5i isegi luua retseptikaarte: n\u00e4iteks l\u00e4mmastiku VR-rakenduskaardid, taimekaitsevahendite pritsimise rakenduse kaardid.<\/span><\/p>\n<hr \/>\n<h2>Korduma kippuvad k\u00fcsimused<\/h2>\n<hr \/>\n<p><strong>1. Kuidas saada talust satelliidipilte?<\/strong><\/p>\n<p>Selle oma talu jaoks hankimiseks uurige teenusepakkujaid, registreeruge ja avage nende andmebaas v\u00f5i portaali. M\u00e4\u00e4rake oma talu asukoht ja soovitud parameetrid, et saada p\u00f5llumajanduslikuks j\u00e4lgimiseks asjakohaseid pilte.<\/p>\n<p><strong>2. Miks on satelliidipildid toiduv\u00f5rgustike m\u00f5istmisel abiks?<\/strong><\/p>\n<p>See on abiks toiduv\u00f5rgustike m\u00f5istmisel t\u00e4nu oma v\u00f5imele pakkuda laia ja terviklikku \u00fclevaadet \u00f6kos\u00fcsteemidest. J\u00e4\u00e4dvustades suuremahulisi pilte maismaast ja veekogudest, v\u00f5imaldab see teadlastel j\u00e4lgida ja anal\u00fc\u00fcsida erinevate elupaikade ja ressursside ruumilist jaotust.<\/p>\n<p>See omakorda aitab uurida erinevate liikide vastastikm\u00f5ju, tuvastada peamisi toitumissuhteid ja m\u00f5ista energia liikumist toiduv\u00f5rkude kaudu.<\/p>\n<p>See aitab lahti harutada keerulist \u00f6koloogilist d\u00fcnaamikat, aidates kaasa \u00f6kos\u00fcsteemi toimimise ja kaitsealaste j\u00f5upingutuste s\u00fcgavamale m\u00f5istmisele.<\/p>\n<p><strong>3. Kui kallid on satelliidipildid?<\/strong><\/p>\n<p>Selle maksumus varieerub s\u00f5ltuvalt mitmest tegurist. Nende hulka kuuluvad teenusepakkuja, resolutsioon, hankimise sagedus ja vajaliku katvuse ulatus. Hinnad v\u00f5ivad ulatuda taskukohastest madala resolutsiooniga piltide valikutest kuni kallimate valikuteni k\u00f5rge resolutsiooniga ja reaalajas j\u00e4lgimise jaoks.<\/p>\n<p>Lisaks v\u00f5ivad spetsialiseeritud teenused v\u00f5i kohandatud andmep\u00e4ringud kaasa tuua lisakulusid. Soovitatav on uurida erinevaid pakkujaid ja nende hinnamudeleid, et leida satelliitkujutiste lahendus, mis vastab teie konkreetsetele n\u00f5uetele ja eelarvele.<\/p>\n<p><strong>4. Mis on infrapunasatelliidi pildid? Kuidas neid lugeda?<\/strong><\/p>\n<p>See j\u00e4\u00e4dvustab Maa pinnal asuvate objektide ja pindade kiirgavat infrapunakiirgust. See annab v\u00e4\u00e4rtuslikku teavet temperatuurimuutuste ja termiliste mustrite kohta.<\/p>\n<p>Infrapuna satelliidipiltide lugemiseks tuleb m\u00f5ista, et soojemad objektid paistavad pildil heledamad, jahedamad aga tumedamad. Neid temperatuurimuutusi anal\u00fc\u00fcsides saab hinnata pilvede moodustumist, tuvastada maa ja vee temperatuuri erinevusi, avastada metsatulekahjusid ja isegi j\u00e4lgida ookeanihoovusi.<\/p>\n<p>V\u00e4rviskaala m\u00f5istmine ja piltide heledustasemete t\u00f5lgendamine aitab infrapunasatelliidipiltidelt olulist teavet ammutada.<\/p>","protected":false},"excerpt":{"rendered":"<p>Satelliidipildid on \u00fcks mitmek\u00fclgsemaid funktsioone, mida saab p\u00f5llumajandustootmises otsustusprotsessi parandamiseks rakendada. Otsuste tegemine,\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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