{"id":4802,"date":"2022-05-27T09:23:53","date_gmt":"2022-05-27T07:23:53","guid":{"rendered":"https:\/\/geopard.tech\/?p=4802"},"modified":"2026-09-13T10:54:47","modified_gmt":"2026-09-13T08:54:47","slug":"kako-satelitske-snimke-pomazu-preciznoj-poljoprivredi","status":"publish","type":"post","link":"https:\/\/geopard.tech\/hr\/blog\/how-does-satellite-imagery-help-precision-agriculture\/","title":{"rendered":"Hiperspektralna satelitska snimka poma\u017ee poljoprivredi preciznosti na nekoliko na\u010dina:"},"content":{"rendered":"<p>Kori\u0161tenje hiperspektralnih satelitskih snimaka u poljoprivredi promijenilo je na\u010din upravljanja poljoprivrednim zemlji\u0161tem kako bi se zadovoljile rastu\u0107e potrebe rastu\u0107eg stanovni\u0161tva suo\u010denog s promjenjivom klimom.<\/p>\n<p>Napredak i komercijalizacija ovog alata u posljednje vrijeme omogu\u0107ili su pristupa\u010dno razumijevanje i pra\u0107enje ne samo velikih farmi ve\u0107 i malih farmi diljem svijeta.<\/p>\n<p>Va\u017eno je razumjeti koncept hiperspektralnog satelitskog snimanja i njegove korisne implikacije za poljoprivrednike i poljoprivredna zemlji\u0161ta, kao i na\u010din njihovog kori\u0161tenja.<\/p>\n<h2>Kako su satelitske snimke korisne za poljoprivredu?<\/h2>\n<p>Ve\u0107i dio ljudske povijesti poljoprivreda je bila isklju\u010divo kopnena znanost i praksa. Me\u0111utim, opseg poljoprivrede danas se pro\u0161irio do velikih visina, dosegnuv\u0161i satelite koji kru\u017ee oko Zemlje. Ali kako sateliti zapravo utje\u010du na na\u010din na koji uzgajamo usjeve i proizvodimo hranu?<\/p>\n<p>Odgovor le\u017ei u \u010dimbenicima o kojima poljoprivreda ovisi, a to su tlo, vrijeme, temperatura, obrasci oborina, razvoj usjeva, topografija i tako dalje.<\/p>\n<p>Sateliti ili svemirske tehnologije omogu\u0107uju nam jednostavno mjerenje i pra\u0107enje tih \u010dimbenika s prakti\u010dnosti na\u0161ih ra\u010dunalnih zaslona, a tako dobivene informacije mogu se koristiti za planiranje odgovaraju\u0107ih poljoprivrednih intervencija.<\/p>\n<p>Kori\u0161tenje satelita u poljoprivredi brzorastu\u0107a je praksa. Razvila se od pukog prikupljanja informacija do stvarnog izvo\u0111enja preciznih poljoprivrednih operacija, na primjer, kori\u0161tenja traktora s GPS-om za \u017eetvu.<\/p>\n<p>Va\u017eno je napomenuti da se sateliti uglavnom koriste za generiranje preciznih geoprostornih podataka o objektima od interesa - poljoprivrednim zemlji\u0161tima i usjevima u na\u0161em slu\u010daju. To se posti\u017ee kori\u0161tenjem kombinacije vi\u0161e od tri satelita i koncepta poznatog kao trilateracija.<\/p>\n<p>\u0160tovi\u0161e, za mjerenje i pra\u0107enje gore navedenih \u010dimbenika, sateliti su opremljeni raznim vrstama visoko sposobnih senzora. Upravo kombinacijom tih mehanizama sateliti su postali toliko korisni u modernoj poljoprivredi.<\/p>\n<h2>\u0160to je hiperspektralno snimanje u preciznoj poljoprivredi?<\/h2>\n<p>Hiperspektralno snimanje je proces dobivanja podataka o objektu hvatanjem razli\u010ditih spektralnih potpisa iz cijelog elektromagnetskog spektra svjetlosti, a ne samo svjetlosnog pojasa koji mo\u017eemo vidjeti, a koji se reflektira od pada na objekt.<\/p>\n<p>Snimanje tih spektralnih potpisa vr\u0161i se uz pomo\u0107 specijaliziranih kamera-senzora na satelitima.<\/p>\n<p>U poljoprivredi se hiperspektralno snimanje oslanja na \u010dinjenicu da gotovo sve vrste usjeva pokazuju razli\u010dite spektralne potpise u razli\u010ditim fazama svog \u017eivotnog ciklusa i razli\u010ditim fiziolo\u0161kim uvjetima. Te se razlike mogu pripisati o\u010dekivanim ili neo\u010dekivanim opa\u017eanjima.<\/p>\n<p>Za neo\u010dekivane rezultate, razlike se mogu pripisati nekoliko okoli\u0161nih ili upravlja\u010dkih \u010dimbenika koji su promijenili fiziolo\u0161ke uvjete biljaka. To mo\u017ee biti korisno u otkrivanju:<\/p>\n<ul>\n<li>Razina vla\u017enosti tla<\/li>\n<li>Nekoliko bolesti<\/li>\n<li>Sastav usjeva za sustave s vi\u0161e kultura<\/li>\n<li>Zaraza korovom<\/li>\n<li>Razina hranjivih tvari u tlu itd.<\/li>\n<\/ul>\n<p>Pa\u017eljivim prou\u010davanjem i analizom ovih nalaza, poljoprivrednik mo\u017ee lako prilagoditi svoje intervencije za optimalnu proizvodnju tijekom vremena i prostora. Na neki na\u010din, hiperspektralno snimanje omogu\u0107uje poljoprivrednicima da razumiju \u0161to usjev \u017eeli.<\/p>\n<p>Sam proces snimanja u poljoprivredi provodi se ili s razine tla ili iz zraka. Za snimanje s razine tla, snimanje se vr\u0161i robotima ili vozilima opremljenim hiperspektralnim senzorima. Za hiperspektralno snimanje iz zraka koriste se dronovi (UAV), kao i satelitske snimke.<\/p>\n<p>Budu\u0107i da mehanizam rada hiperspektralnog snimanja uklju\u010duje precizno mjerenje svjetlosti i njezinih spektralnih pojaseva, \u010dak i mali pokret ili nepravilnost u sustavu mo\u017ee uvelike iskriviti rezultate i uzrokovati vi\u0161e \u0161tete nego koristi.<\/p>\n<p>Stoga je klju\u010dno koristiti pouzdane i to\u010dne sustave i usluge za sve poljoprivredne operacije hiperspektralnog snimanja. Kona\u010dno, primjena hiperspektralnog snimanja u poljoprivredi najbolje se ostvaruje kada se redovito koristi tijekom vi\u0161e ciklusa usjeva kako bi razumijevanje i pra\u0107enje usjeva bilo preciznije i to\u010dnije.<\/p>\n<h2>Kako satelitske spektralne snimke poma\u017eu preciznim poljoprivrednicima?<\/h2>\n<p>Sateliti i njima povezane tehnologije ne poma\u017eu samo poljoprivrednicima da u\u010dinkovito upravljaju svojim farmama; oni mijenjaju na\u010din na koji se poljoprivreda obavlja diljem svijeta.<\/p>\n<p>Sateliti poljoprivrednicima daju pogled i uvid u cijelo njihovo poljoprivredno zemlji\u0161te iz perspektive o kojoj prije samo nekoliko desetlje\u0107a nisu mogli ni sanjati. Razli\u010diti na\u010dini na koje sateliti poma\u017eu poljoprivrednicima da u\u010dinkovito i odr\u017eivo upravljaju svojim farmama su sljede\u0107i:<\/p>\n<ul>\n<li><strong>Mapiranje:<\/strong> Po\u010detni korak u preciznoj poljoprivredi uz kori\u0161tenje satelita uklju\u010duje temeljito mapiranje cijele parcele. To je posebno korisno u slu\u010dajevima velikih poljoprivrednih zemlji\u0161ta koja poljoprivrednicima omogu\u0107uju da identificiraju i odrede prioritete svog zemlji\u0161ta na temelju prostornih karakteristika.<\/li>\n<li><strong>Mjerenje i prou\u010davanje:<\/strong> Multispektralne kamere i senzori ugra\u0111eni u satelite izravno ili neizravno daju mjerenje \u0161irokog spektra va\u017enih karakteristika poljoprivrednog zemlji\u0161ta poput zdravlja usjeva, prehrane, stresa tla zbog vode, faze planta\u017ee, vremenskih obrazaca, bolesti i tako dalje.<\/li>\n<li><strong>Izvr\u0161avanje i pra\u0107enje:<\/strong> Nadalje, satelitski podaci i njihove funkcionalnosti korisni su u radu automatiziranih tehnolo\u0161kih strojeva i omogu\u0107uju precizno pode\u0161avanje razli\u010ditih stopa primjene gnojiva i razli\u010ditih obrazaca navodnjavanja. \u0160tovi\u0161e, kako se slike s vremenom gomilaju jedna za drugom, one odra\u017eavaju obrazac karakteristika poljoprivrednog zemlji\u0161ta kao i okoli\u0161a. To poma\u017ee u predvi\u0111anju budu\u0107ih doga\u0111aja te planiranju i pripremi unaprijed kako bi se imale najve\u0107e \u0161anse za minimiziranje ekstremnih gubitaka uzrokovanih \u010dimbenicima poput su\u0161a, klimatskih promjena, izbijanja bolesti itd.<\/li>\n<\/ul>\n<p>Njegova upotreba u poljoprivredi, uklju\u010duju\u0107i hiperspektralne snimke, spada pod \u0161iroki pojam precizne poljoprivrede. Stoga se satelitske snimke rijetko koriste izolirano, ve\u0107 su jedan od elemenata Interneta stvari (IoT) koji se koristi u preciznoj poljoprivredi.<\/p>\n<p>Satelitske snimke, u kombinaciji s podacima s tla, umjetnom inteligencijom, analizom velikih podataka i \u0161irenjem podataka do razine poljoprivrednika pomo\u0107u pametnih telefona i aplikacijskih usluga.<\/p>\n<p><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"4806\" data-permalink=\"https:\/\/geopard.tech\/hr\/blog\/how-does-satellite-imagery-help-precision-agriculture\/49-2-min\/\" data-orig-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?fit=1200%2C650&amp;ssl=1\" data-orig-size=\"1200,650\" 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 imagery helps to precision agriculture\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?fit=1024%2C555&amp;ssl=1\" class=\"wp-image-4806 size-large aligncenter\" src=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?resize=810%2C439&#038;ssl=1\" alt=\"Satelitske snimke poma\u017eu preciznoj poljoprivredi \" width=\"810\" height=\"439\" srcset=\"https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?resize=1024%2C555&amp;ssl=1 1024w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?resize=300%2C163&amp;ssl=1 300w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?resize=768%2C416&amp;ssl=1 768w, https:\/\/i0.wp.com\/geopard.tech\/wp-content\/uploads\/2022\/05\/49.2-min.jpg?w=1200&amp;ssl=1 1200w\" sizes=\"(max-width: 810px) 100vw, 810px\" \/><\/p>\n<p>Preciznije, visokospektralne snimke u poljoprivredi omogu\u0107uju sljede\u0107e:<\/p>\n<p><strong>1. Otkrivanje zdravlja usjeva:<\/strong><\/p>\n<p>Razli\u010dite vrste vegetacijskih indeksa izra\u010dunatih iz multispektralnih satelitskih snimaka koriste se za razumijevanje, otkrivanje i pra\u0107enje zdravlja usjeva. Kao \u0161to je ranije spomenuto, razli\u010dita zdravstvena stanja ili njihova ja\u010dina uzrokuju apsorpciju ili refleksiju razli\u010ditih valnih duljina svjetlosti.<\/p>\n<p>Senzori bilje\u017ee i izra\u010dunavaju indekse, a najbolji se mo\u017ee koristiti gotovo u stvarnom vremenu za generiranje odgovaraju\u0107ih strategija upravljanja. Da biste saznali vi\u0161e o razli\u010ditim vrstama vegetacijskih indeksa i koji odabrati, pro\u010ditajte ovo <a href=\"https:\/\/geopard.tech\/hr\/blog\/indeks-vegetacije-kako-se-koriste-u-preciznoj-poljoprivredi\/\">GeoPard blog<\/a>.<\/p>\n<p><strong>2. Stanje i svojstva tla:<\/strong><\/p>\n<p>Ba\u0161 kao \u0161to usjevi i njihovo li\u0161\u0107e pokazuju razli\u010dite spektralne potpise u razli\u010ditim zdravstvenim uvjetima, tako se i varijacije u tlu i njegovim svojstvima pretvaraju u druga\u010diji spektar svjetlosti koji reflektiraju senzori u zraku.<\/p>\n<p>Na primjer, indeks svjetline tla jedan je takav indeks koji se koristi za mjerenje i mapiranje svojstava tla. Budu\u0107i da svojstva tla poput vlage, razine hranjivih tvari, teksture, erodibilnosti i pH-a igraju ogromnu ulogu u ukupnom uspjehu ili neuspjehu cijelog poljoprivrednog sustava, va\u017eno je to\u010dno i redovito mapirati, upravljati i pratiti stanje tla.<\/p>\n<p>Sustavno uzorkovanje tla mo\u017ee pru\u017eiti to\u010dniji opis svojstava tla, ali mo\u017ee biti skupo i neu\u010dinkovito na velikim podru\u010djima.<\/p>\n<p>Kao rezultat toga, najbolji pristup kombinira hiperspektralno snimanje sa sustavnim mre\u017enim uzorkovanjem tla kako bi se dobila to\u010dna i pouzdana karta razli\u010ditih svojstava tla.<\/p>\n<p>Ovo se mo\u017ee dalje koristiti za primjenu VRA gnojidbe. Ovaj pristup koristi <a href=\"https:\/\/geopard.tech\/hr\/uzorkovanje-tla\/\">Analiza podataka o tlu<\/a> rje\u0161enje koje nudi <a href=\"https:\/\/geopard.tech\/hr\/\">GeoPard Poljoprivreda<\/a>.<\/p>\n<p><strong>3. Rast usjeva i detekcija vrsta usjeva\/sorti<\/strong><\/p>\n<p>Primjena multispektralnih satelitskih snimaka u razumijevanju i pra\u0107enju rasta usjeva, kao i sastava usjeva, klju\u010dna je u slu\u010dajevima sustava s vi\u0161e usjeva na velikim farmama.<\/p>\n<p>Na velikim farmama, razli\u010diti dijelovi zemlje mogu imati lokalizirane \u010dimbenike okoli\u0161a koji uzrokuju odstupanje od normalnog obrasca rasta. \u0160tovi\u0161e, ne\u017eeljene biljke poput korova mogu rasti na podru\u010djima koja degradiraju rast glavnih usjeva.<\/p>\n<p>Kako bi se pratili svi ovi problemi i osiguralo da cijela parcela daje optimalne rezultate, multispektralne satelitske snimke izra\u0111uju slojeve podataka koje mo\u017eete usporediti i donositi informirane odluke.<\/p>\n<p>Osim ovih uobi\u010dajenih primjena HS slika, druge primjene uklju\u010duju rano otkrivanje i upozoravanje na poplave, otkrivanje \u0161umskih po\u017eara, pra\u0107enje stoke i tako dalje.<\/p>\n<p>Ukratko, hiperspektralne satelitske snimke imaju ogroman potencijal i primjenu u poljoprivredi i njezinoj transformaciji u naprednu praksu za suo\u010davanje s rastu\u0107im izazovima 21. stolje\u0107a.<\/p>\n<p>Postoje brojni na\u010dini na koje poljoprivrednici mogu imati koristi od ovog mo\u0107nog alata i u\u010diniti svoje agronomske prakse lak\u0161im, u\u010dinkovitijim, odr\u017eivijim i, \u0161to je najva\u017enije, profitabilnijim.<\/p>\n<p>Me\u0111utim, tako\u0111er je jasno da njegova primjena zahtijeva visoku razinu preciznosti i znanja te da poljoprivrednici moraju osigurati kori\u0161tenje pouzdane platforme pru\u017eatelja agrousluga s visokom operativnom u\u010dinkovito\u0161\u0107u i tehni\u010dkom stru\u010dno\u0161\u0107u.<\/p>\n<p>GeoPard agriculture nudi \u0161irok raspon poljoprivrednih rje\u0161enja koja u potpunosti koriste mogu\u0107nosti multispektralnih satelitskih snimaka poput Landsat, Sentinel i Planet.<\/p>\n<p>Kori\u0161tene tehnologije odlikuju se vrlo visokom to\u010dno\u0161\u0107u s visokom rezolucijom od 3 m i bazom podataka slika od nekoliko godina za utvr\u0111ivanje trendova vegetacije i <a href=\"https:\/\/geopard.tech\/hr\/zone-upravljanja-vra-karte\/\">upravlja\u010dke zone<\/a> za va\u0161a poljoprivredna zemlji\u0161ta.<\/p>\n<p>Druge mogu\u0107nosti mo\u0107nog GeoPardovog motora uklju\u010duju gotovo stvarno vrijeme <a href=\"https:\/\/geopard.tech\/hr\/nadzor-usjeva\/\">Pra\u0107enje usjeva<\/a> i <a href=\"https:\/\/geopard.tech\/hr\/podaci-o-prinosu\/\">Podaci o prinosu<\/a> koriste\u0107i najnovije slike koje mo\u017eete jednostavno vizualizirati na webu i mobilnim platformama u oblaku.<\/p>\n<p>Koriste\u0107i sve ove informacije i slojeve podataka, GeoPard analizira ukupne karakteristike produktivnosti poljoprivrednog zemlji\u0161ta i propisuje varijabilne stope unosa kao \u0161to su <a href=\"https:\/\/geopard.tech\/hr\/blog\/sto-je-potrebno-za-prakticiranje-gnojidbe-s-promjenjivom-stopom\/\">gnojivo<\/a>, <a href=\"https:\/\/geopard.tech\/hr\/blog\/prednosti-pametnog-navodnjavanja\/\">navodnjavanje<\/a>, ili vrste usjeva za va\u0161e poljoprivredno zemlji\u0161te s ciljem unapre\u0111enja va\u0161ih agronomskih praksi s odr\u017eive i financijske perspektive.<\/p>\n<hr \/>\n<h2>\u010cesto postavljana pitanja<\/h2>\n<hr \/>\n<p><strong>1. Kako dobiti satelitske snimke za farmu?<\/strong><\/p>\n<p>Za dobivanje snimaka za svoju farmu, po\u010dnite istra\u017eivanjem uglednih pru\u017eatelja usluga koji nude usluge usmjerene na poljoprivredu, kao \u0161to su <a href=\"https:\/\/geopard.tech\/hr\/\">GeoPard<\/a>. Odaberite odgovaraju\u0107i plan usluge na temelju \u010dimbenika poput rezolucije slike i u\u010destalosti a\u017euriranja. Nakon \u0161to se pretplatite, pristupite slikama putem platforme ili alata pru\u017eatelja usluga i preuzmite slike za svoje poljoprivredno podru\u010dje. Koristite ove slike za pra\u0107enje zdravlja usjeva, prepoznavanje podru\u010dja koja izazivaju zabrinutost i dono\u0161enje informiranih odluka za optimizaciju praksi upravljanja poljoprivredom.<\/p>\n<p><strong>2. Za\u0161to je satelitska snimka korisna za razumijevanje prehrambenih mre\u017ea?<\/strong><\/p>\n<p>Korisno je u razumijevanju hranidbenih mre\u017ea iz nekoliko razloga. Prvo, pru\u017ea \u0161iroki pogled na Zemljinu povr\u0161inu, omogu\u0107uju\u0107i istra\u017eiva\u010dima promatranje i pra\u0107enje velikih podru\u010dja i ekosustava. Ove slike mogu pomo\u0107i u prepoznavanju klju\u010dnih zna\u010dajki stani\u0161ta, poput vegetacijskih obrazaca ili oceanografskih procesa, koji utje\u010du na rasprostranjenost i brojnost organizama unutar hranidbenih mre\u017ea. Osim toga, poma\u017ee u pra\u0107enju promjena u pokrovu zemlji\u0161ta i klimatskim varijablama, \u0161to su va\u017eni \u010dimbenici koji utje\u010du na dinamiku hranidbenih mre\u017ea.<\/p>","protected":false},"excerpt":{"rendered":"<p>Kori\u0161tenje hiperspektralnih satelitskih snimaka u poljoprivredi promijenilo je na\u010din upravljanja poljoprivrednim zemlji\u0161tem kako bi se zadovoljile rastu\u0107e potrebe rastu\u0107eg stanovni\u0161tva...<\/p>","protected":false},"author":210157960,"featured_media":4805,"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":[1657,1380],"tags":[1598],"class_list":["post-4802","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-precision-farming","category-whats","tag-precision-agriculture"],"acf":[],"yoast_head":"<!-- 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