{"id":14312,"date":"2024-09-23T16:44:20","date_gmt":"2024-09-23T16:44:20","guid":{"rendered":"https:\/\/dailyai.com\/?p=14312"},"modified":"2024-09-24T08:54:06","modified_gmt":"2024-09-24T08:54:06","slug":"googles-open-buildings-project-maps-urban-expansion-across-the-global-south","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/","title":{"rendered":"Googles Open Buildings-projekt kortl\u00e6gger byudvidelser i hele det globale syd"},"content":{"rendered":"

Google Research har udgivet Open Buildings 2.5D Temporal Dataset, et projekt, der sporer bygnings\u00e6ndringer i hele det globale syd fra 2016 til 2023.<\/strong><\/p>\n

Dette us\u00e6dvanligt detaljerede datas\u00e6t giver et dynamisk billede af urbaniseringen \u00e5r for \u00e5r. Det indfanger bygningskonstruktion, v\u00e6kst og transformation p\u00e5 tv\u00e6rs af regioner, hvor s\u00e5danne data l\u00e6nge har v\u00e6ret knappe eller ikke-eksisterende.<\/p>\n

John Quinn, en softwareingeni\u00f8r hos Google Research, forklarede <\/span>Hvorfor projektet<\/a><\/span> er vigtig: \"Det er et stort problem af mange praktiske grunde, at man ikke ved, hvor bygningerne er. Hvis man opretter tjenester eller vaccinationskampagner eller redder folk efter en n\u00f8dsituation, er det et problem.\"<\/span><\/p>\n

V\u00e6rkt\u00f8jets prim\u00e6re gennembrud er dets evne til at udtr\u00e6kke indsigt i h\u00f8j opl\u00f8sning fra Sentinel-2-satellitbilleder med lav opl\u00f8sning.\u00a0<\/span><\/p>\n

Ved at analysere op til 32 tidsforskudte billeder af samme sted kan AI'en opdage strukturer, der er langt mindre end en enkelt pixel.<\/span><\/p>\n

\"AI
Bygningst\u00e6thed i 2023 baseret p\u00e5 data fra Open Buildings 2.5D Temporal dataset. Kilde: Google<\/a>.<\/figcaption><\/figure>\n

Ud over detektering estimerer systemet bygningsh\u00f8jder med bem\u00e6rkelsesv\u00e6rdig pr\u00e6cision - inden for 1,5 meter i gennemsnit. <\/span><\/p>\n

Det omdanner flade satellitbilleder til rige data i flere lag, som giver byplanl\u00e6ggere og humanit\u00e6re organisationer et st\u00e6rkt instrument til at forst\u00e5 befolkningst\u00e6thed og ressourcebehov.<\/span><\/p>\n

Kortl\u00e6gning af det globale syd<\/strong><\/h2>\n

Udtrykket \"det globale syd\" refererer typisk til udviklingslande i Afrika, Asien, Latinamerika og Caribien.\u00a0<\/span><\/p>\n

Disse regioner, som er hjemsted for st\u00f8rstedelen af verdens befolkning, st\u00e5r ofte over for udfordringer med at levere sundhedspleje af h\u00f8j kvalitet, byudvikling, milj\u00f8beskyttelse og ressourceforvaltning.<\/span><\/p>\n

Abdoulaye Diack, der er programleder p\u00e5 projektet, udtaler: \"Vi \u00f8nsker, at folk i det globale syd, der tr\u00e6ffer politiske beslutninger, skal have de samme v\u00e6rkt\u00f8jer til r\u00e5dighed som i det globale nord.\"\u00a0<\/span><\/p>\n

Datas\u00e6ttet har allerede fundet praktisk anvendelse. I Uganda er <\/span>nonprofit Sunbird AI<\/span><\/a> udnytter disse data til elektrificeringsprojekter i landdistrikterne.<\/span><\/p>\n

WorldPop<\/span><\/a>som har base p\u00e5 University of Southampton, bruger det til at forbedre de globale befolkningsestimater - vigtige oplysninger til planl\u00e6gning af alt fra vaccinationskampagner til katastrofeberedskab.<\/span><\/p>\n

WorldPops direkt\u00f8r, professor Andrew Tatem, forklarede, hvorfor disse data er vigtige: \"At forst\u00e5, hvor folk bor, er afg\u00f8rende for at sikre, at ressourcerne fordeles retf\u00e6rdigt, og at ingen lades i stikken i forbindelse med levering af ydelser som sundhedspleje.\"<\/span><\/p>\n

AI forbedrer satellit- og 3D-kortl\u00e6gning og giver mere pr\u00e6cis og rettidig indsigt i byv\u00e6kst og milj\u00f8m\u00e6ssige forandringer.<\/p>\n

For eksempel kan en\u00a0nyligt projekt af Aya Data<\/a> i Ghana e<\/span>mployed AI to analyze thousands of satellite images of South America, tracking changes in forests, urban areas, and agricultural land over several years.<\/span><\/p>\n

AI'ens evne til at opdage subtile \u00e6ndringer, som f.eks. tidlige tegn p\u00e5 skovrydning eller ny udvikling, informerer den virkelige verdens landbrugs- og bevaringspolitikker.<\/p>\n

Ud over at observere langsigtede \u00e6ndringer i milj\u00f8et g\u00f8r AI det muligt for forskere at opdage og reagere p\u00e5 trusler som ulovlig skovhugst, krybskytteri og uautoriserede \u00e6ndringer i arealanvendelsen, der kan ses p\u00e5 satellitbilleder.<\/p>\n

Google indr\u00f8mmer, at datas\u00e6ttet har sine begr\u00e6nsninger. Vedvarende skyd\u00e6kke kan forhindre dataindsamling i nogle af verdens mest fugtige regioner, og meget sm\u00e5 strukturer kan ogs\u00e5 undg\u00e5 at blive opdaget.\u00a0<\/span><\/p>\n

Ikke desto mindre er Open Buildings 2.5D Temporal Dataset et fremragende eksempel p\u00e5 den st\u00e6rke synergi mellem datademokratisering og AI.<\/p>\n

Ved at demokratisere adgangen til kompleks geospatial information baner det vejen for en mere retf\u00e6rdig byplanl\u00e6gning, katastrofeberedskab og b\u00e6redygtig udvikling p\u00e5 globalt plan.<\/p>","protected":false},"excerpt":{"rendered":"

Google Research har udgivet Open Buildings 2.5D Temporal Dataset, et projekt, der sporer bygnings\u00e6ndringer i hele det globale syd fra 2016 til 2023. Dette us\u00e6dvanligt detaljerede datas\u00e6t giver et dynamisk billede af urbaniseringen \u00e5r for \u00e5r. Det indfanger bygningskonstruktion, v\u00e6kst og transformation p\u00e5 tv\u00e6rs af regioner, hvor s\u00e5danne data l\u00e6nge har v\u00e6ret knappe eller ikke-eksisterende. John Quinn, der er softwareingeni\u00f8r hos Google Research, forklarer, hvorfor projektet er vigtigt: \"Det er et stort problem af mange praktiske \u00e5rsager, at vi ikke ved, hvor bygningerne er. Hvis du opretter tjenester eller vaccinationskampagner eller redder folk efter en n\u00f8dsituation, er det et problem.\" V\u00e6rkt\u00f8jets<\/p>","protected":false},"author":2,"featured_media":14319,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[102],"class_list":["post-14312","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-google"],"yoast_head":"\nGoogle's Open Buildings project maps urban expansion across the Global South | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/da\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google's Open Buildings project maps urban expansion across the Global South | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google Research has released the Open Buildings 2.5D Temporal Dataset, a project that tracks building changes across the Global South from 2016 to 2023. 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If you’re creating services or vaccination campaigns or rescuing people after an emergency, this is an issue.” The tool\u2019s\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/da\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-09-23T16:44:20+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-24T08:54:06+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/09\/DALL\u00b7E-2024-09-23-18.14.54-A-simple-and-smooth-aerial-view-of-urban-expansion-in-the-Global-South.-The-image-shows-clean-lines-of-modern-buildings-and-streets-lightly-illuminat.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta 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