{"id":206,"date":"2020-01-29T15:50:00","date_gmt":"2020-01-29T14:50:00","guid":{"rendered":"https:\/\/geopard.tech\/?p=206"},"modified":"2023-05-18T22:11:51","modified_gmt":"2023-05-18T20:11:51","slug":"detekcia-oblakov-a-tienov-v-polnohospodarstve","status":"publish","type":"post","link":"https:\/\/geopard.tech\/sk\/blog\/cloud-and-shadow-detection-in-agriculture\/","title":{"rendered":"Detekcia oblakov a tie\u0148ov v po\u013enohospod\u00e1rstve"},"content":{"rendered":"
Detekcia oblakov a tie\u0148ov je jednou z najd\u00f4le\u017eitej\u0161\u00edch \u00faloh v analytick\u00fdch rie\u0161eniach dia\u013ekov\u00e9ho prieskumu.<\/p>\r\n\r\n\r\n\r\n
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If the whole satellite image is 90% clean, there is still a 10% chance that your field will be under clouds\/shadows area. The reverse is also true \u2013 many systems do not process images with clouds above 70% \u2013 although the remaining 30% can help the agronomist or farmer to make the right decision during the season.<\/p>\r\n\r\n\r\n\r\n
V GeoPard rie\u0161ime tento probl\u00e9m pomocou nieko\u013ek\u00fdch algoritmov strojov\u00e9ho u\u010denia, ktor\u00e9 pracuj\u00fa s ve\u013emi vysokou presnos\u0165ou.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
\r\n<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n
<\/p>\r\n\r\n
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Definujeme masku mrakov a masku tie\u0148ov na \u00farovni cel\u00e9ho obr\u00e1zku a pre ka\u017ed\u00fd p\u00e1r po\u013ea a obr\u00e1zka zva\u017eujeme, ak\u00e9 percento po\u013ea je pokryt\u00e9 mrakmi alebo tie\u0148mi z mrakov.<\/p>\r\n\r\n\r\n\r\n
V automatickej analytike pou\u017e\u00edvame pre konkr\u00e9tne pole iba \u00faplne bezobla\u010dn\u00e9 sn\u00edmky, \u010do umo\u017e\u0148uje pou\u017e\u00edvate\u013eovi s istotou prij\u00edma\u0165 rozhodnutia zalo\u017een\u00e9 na viacro\u010dnej analytike.<\/p>\r\n\r\n\r\n\r\n
U\u017e\u00edvate\u013e GeoPard m\u00e1 mo\u017enos\u0165 prezera\u0165 si a dokonca sp\u00fa\u0161\u0165a\u0165 anal\u00fdzy s\u00e1m, a to aj na \u010diasto\u010dne zamra\u010den\u00fdch sn\u00edmkach.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
\r\n<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n
<\/p>\r\n\r\n
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Toto m\u00f4\u017ee by\u0165 st\u00e1le ve\u013emi u\u017eito\u010dn\u00e9, napr\u00edklad po\u010das sez\u00f3ny pri aplik\u00e1cii postrekov s variabilnou d\u00e1vkou pr\u00edpravkov na ochranu rastl\u00edn na z\u00e1klade najnov\u0161ieho satelitn\u00e9ho sn\u00edmku, na ktorom je 10% plochy po\u013ea pod mrakmi. To znamen\u00e1, \u017ee pre 90% plochy po\u013ea sa rozhodnutie bude opiera\u0165 o overen\u00e9 \u00fadaje.<\/p>\r\n\r\n\r\n\r\n
Pou\u017e\u00edvatelia GeoPard si tie\u017e m\u00f4\u017eu jednoducho skontrolova\u0165 zdrojov\u00e9 sn\u00edmky na region\u00e1lnej \u00farovni v infra\u010dervenom zobrazen\u00ed, \u010do pom\u00e1ha rozl\u00ed\u0161i\u0165 \u010dist\u00fa zem od oblakov a tie\u0148ov (vi\u010f pripojen\u00fd obr\u00e1zok).<\/p>\r\n\r\n\r\n\r\n
Filter pou\u017e\u00edvate\u013esk\u00e9ho rozhrania je umiestnen\u00fd v hornom menu modulu \u201cSledovanie satelitov\u201d, pozri pripojen\u00e9 sn\u00edmky obrazovky.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
\r\n<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n
<\/p>\r\n\r\n
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Majte na pam\u00e4ti, \u017ee digit\u00e1lne agronomick\u00e9 spolo\u010dnosti m\u00f4\u017eu st\u00e1le bojova\u0165 so spr\u00e1vnou detekciou oblakov a tie\u0148ov. Na prilo\u017eenej sn\u00edmke obrazovky jedna tak\u00e1to spolo\u010dnos\u0165 vytv\u00e1ra mapu VR hnojenia na z\u00e1klade \u00fadajov o oblakoch a tie\u0148och. Nespr\u00e1vna mapa teda vedie k nespr\u00e1vnym agronomick\u00fdm rozhodnutiam a v kone\u010dnom d\u00f4sledku k nespr\u00e1vnym v\u00fdsledkom.<\/p>\r\n\r\n\r\n\r\n
GeoPard detekuje mraky a tiene s vysokou presnos\u0165ou a nenavrhuje, aby ste sa rozhodovali o va\u0161ej variabilnej aplik\u00e1cii na z\u00e1klade mrakov. V\u017edy si m\u00f4\u017eete pozrie\u0165 zdrojov\u00e9 obr\u00e1zky v r\u00f4znych poh\u013eadoch a indexoch a oddiali\u0165 si ich, aby ste videli okolit\u00fd obraz.<\/p>\r\n<\/div>\r\n\r\n\r\n\r\n
\r\n<\/figure>\r\n<\/div>\r\n<\/div>\r\n\r\n
<\/p>\r\n\r\n
Nie ka\u017ed\u00e9 rie\u0161enie je rovnak\u00e9, vyberte si najlep\u0161ie mo\u017enosti na trhu!<\/p>\r\n\r\n
<\/p>\r\n\r\n<\/figure>\r\n
Detekcia obla\u010dnosti pri presnom po\u013enohospod\u00e1rstve<\/h2>\r\n
Detekcia oblakov v prec\u00edznom po\u013enohospod\u00e1rstve sa vz\u0165ahuje na proces identifik\u00e1cie a monitorovania obla\u010dnosti v po\u013enohospod\u00e1rskych oblastiach pomocou technol\u00f3gi\u00ed dia\u013ekov\u00e9ho prieskumu. Oblaky m\u00f4\u017eu v\u00fdrazne ovplyvni\u0165 po\u013enohospod\u00e1rske postupy a produktivitu plod\u00edn, preto je ich detekcia a anal\u00fdza k\u013e\u00fa\u010dov\u00e1 pre efekt\u00edvne riadenie farmy.<\/p>\r\n
Zah\u0155\u0148a pou\u017eitie r\u00f4znych senzorov, ako s\u00fa satelity, drony alebo pozemn\u00e9 pr\u00edstroje, na zachytenie sn\u00edmok po\u013enohospod\u00e1rskych pol\u00ed. Tieto senzory zachyt\u00e1vaj\u00fa \u00fadaje vo forme vidite\u013en\u00e9ho a infra\u010derven\u00e9ho svetla, ktor\u00e9 sa daj\u00fa analyzova\u0165 na ur\u010denie pr\u00edtomnosti a charakterist\u00edk obla\u010dnosti.<\/p>\r\n
Jeho prim\u00e1rnym \u00fa\u010delom v presnom po\u013enohospod\u00e1rstve je pos\u00fadenie priestorov\u00e9ho a \u010dasov\u00e9ho rozlo\u017eenia obla\u010dnosti nad po\u013enohospod\u00e1rskymi oblas\u0165ami.<\/p>\r\n
Tieto inform\u00e1cie pom\u00e1haj\u00fa farm\u00e1rom a agron\u00f3mom prij\u00edma\u0165 informovan\u00e9 rozhodnutia t\u00fdkaj\u00face sa z\u00e1vlahy, hnojenia, ochrany proti \u0161kodcom a in\u00fdch po\u013enohospod\u00e1rskych postupov. Pochopen\u00edm vzorcov obla\u010dnosti m\u00f4\u017eu farm\u00e1ri optimalizova\u0165 alok\u00e1ciu zdrojov a minimalizova\u0165 riziko po\u0161kodenia plod\u00edn alebo zn\u00ed\u017eenia v\u00fdnosov.<\/p>\r\n
Algoritmy na detekciu oblakov analyzuj\u00fa zachyten\u00e9 sn\u00edmky, aby rozl\u00ed\u0161ili medzi pixelmi oblakov a pixelmi bez oblakov.<\/p>\r\n
Tieto algoritmy vyu\u017e\u00edvaj\u00fa r\u00f4zne techniky, ako je prahovanie, spektr\u00e1lna anal\u00fdza a strojov\u00e9 u\u010denie, na presn\u00e9 identifikovanie a klasifikovanie obla\u010dn\u00fdch form\u00e1ci\u00ed.<\/p>\r\n
V\u00fdstupom algoritmov typicky je percento obla\u010dnosti, klasifik\u00e1cia typu obla\u010dnosti a vzorce pohybu obla\u010dnosti.<\/p>\r\n
Ke\u010f s\u00fa mraky detegovan\u00e9 a s\u00fa ur\u010den\u00e9 ich charakteristiky, farm\u00e1ri m\u00f4\u017eu tieto inform\u00e1cie vyu\u017ei\u0165 na implement\u00e1ciu techn\u00edk presn\u00e9ho po\u013enohospod\u00e1rstva.<\/p>\r\n
Napr\u00edklad, ak je nad ur\u010ditou oblas\u0165ou po\u013ea detekovan\u00fd oblak, farm\u00e1ri m\u00f4\u017eu zavla\u017eovanie alebo aplik\u00e1ciu pestic\u00eddov v tejto oblasti pozastavi\u0165, k\u00fdm oblak neprejde. Synchroniz\u00e1ciou po\u013enohospod\u00e1rskych \u010dinnost\u00ed s pohybom oblakov m\u00f4\u017eu farm\u00e1ri optimalizova\u0165 vyu\u017eitie zdrojov a minimalizova\u0165 zbyto\u010dn\u00e9 vstupy.<\/p>\r\n
Je to obzvl\u00e1\u0161\u0165 prospe\u0161n\u00e9 v oblastiach s vysokou obla\u010dnos\u0165ou alebo tam, kde sa po\u010dasie r\u00fdchlo men\u00ed. Neust\u00e1lym sledovan\u00edm obla\u010dnosti sa po\u013enohospod\u00e1ri m\u00f4\u017eu v re\u00e1lnom \u010dase prisp\u00f4sobi\u0165 svojim farm\u00e1rskym postupom a vykon\u00e1va\u0165 \u00fapravy na z\u00e1klade aktu\u00e1lnych poveternostn\u00fdch podmienok.<\/p>\r\n
Zhrnut\u00e9, detekcia obla\u010dnosti v prec\u00edznom po\u013enohospod\u00e1rstve hr\u00e1 k\u013e\u00fa\u010dov\u00fa \u00falohu pri optimaliz\u00e1cii po\u013enohospod\u00e1rskych postupov a riaden\u00ed zdrojov. Presn\u00fdm identifikovan\u00edm a monitorovan\u00edm obla\u010dnosti m\u00f4\u017eu po\u013enohospod\u00e1ri prij\u00edma\u0165 informovan\u00e9 rozhodnutia na zv\u00fd\u0161enie produktivity plod\u00edn, zn\u00ed\u017eenie plytvania vstupmi a zmiernenie riz\u00edk spojen\u00fdch so zmenen\u00fdmi poveternostn\u00fdmi podmienkami.<\/p>","protected":false},"excerpt":{"rendered":"
Detekcia oblakov a tie\u0148ov je jednou z najd\u00f4le\u017eitej\u0161\u00edch \u00faloh v analytick\u00fdch rie\u0161eniach dia\u013ekov\u00e9ho prieskumu Zeme. Ak je cel\u00fd satelitn\u00fd obraz \u010dist\u00fd, existuje\u2026<\/p>","protected":false},"author":210157960,"featured_media":1383,"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":[1378],"tags":[1599],"class_list":["post-206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-remote-sensing"],"acf":[],"yoast_head":"\n
Cloud and Shadow Detection in Agriculture<\/title>\n<meta name=\"description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/geopard.tech\/sk\/blog\/detekcia-oblakov-a-tienov-v-polnohospodarstve\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cloud and Shadow Detection in Agriculture\" \/>\n<meta property=\"og:description\" content=\"The detection of clouds and cloud shadows is one of the most important tasks in analytical remote sensing solutions.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/geopard.tech\/sk\/blog\/detekcia-oblakov-a-tienov-v-polnohospodarstve\/\" \/>\n<meta property=\"og:site_name\" content=\"GeoPard - Precision 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