{"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\/nb\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/","title":{"rendered":"Googles Open Buildings-prosjekt kartlegger urban ekspansjon i det globale s\u00f8r"},"content":{"rendered":"

Google Research har lansert Open Buildings 2.5D Temporal Dataset, et prosjekt som sporer bygningsendringer i det globale s\u00f8r fra 2016 til 2023.<\/strong><\/p>\n

Dette eksepsjonelt detaljerte datasettet gir et dynamisk, \u00e5rlig bilde av urbaniseringen. Det fanger opp bygningskonstruksjon, vekst og transformasjon i regioner der slike data lenge har v\u00e6rt mangelvare eller ikke-eksisterende.<\/p>\n

John Quinn, programvareingeni\u00f8r ved Google Research, forklarer <\/span>hvorfor prosjektet<\/a><\/span> er viktig: \"Det er et stort problem av mange praktiske \u00e5rsaker at vi ikke vet hvor bygninger befinner seg. Hvis du skal opprette tjenester eller vaksinasjonskampanjer eller redde folk etter en n\u00f8dsituasjon, er dette et problem.\"<\/span><\/p>\n

Verkt\u00f8yets viktigste gjennombrudd er dets evne til \u00e5 hente ut h\u00f8yoppl\u00f8selige innsikter fra lavoppl\u00f8selige Sentinel-2-satellittbilder.\u00a0<\/span><\/p>\n

Ved \u00e5 analysere opptil 32 tidsforskyvede bilder av samme sted kan den kunstige intelligensen oppdage strukturer som er langt mindre enn en enkelt piksel.<\/span><\/p>\n

\"AI
Bygningstetthet i 2023 basert p\u00e5 data fra Open Buildings 2.5D Temporal-datasettet. Kilde: Google<\/a>.<\/figcaption><\/figure>\n

Utover deteksjon estimerer systemet byggeh\u00f8yder med bemerkelsesverdig presisjon - innenfor 1,5 meter i gjennomsnitt. <\/span><\/p>\n

Dette forvandler flate satellittbilder til rike data i flere lag, noe som gir byplanleggere og humanit\u00e6re organisasjoner et kraftig verkt\u00f8y for \u00e5 forst\u00e5 befolkningstetthet og ressursbehov.<\/span><\/p>\n

Kartlegging av det globale s\u00f8r<\/strong><\/h2>\n

Begrepet \"det globale s\u00f8r\" refererer vanligvis til utviklingsland i Afrika, Asia, Latin-Amerika og Karibia.\u00a0<\/span><\/p>\n

Disse regionene, som huser st\u00f8rstedelen av verdens befolkning, st\u00e5r ofte overfor utfordringer n\u00e5r det gjelder \u00e5 levere helsetjenester av h\u00f8y kvalitet, byutvikling, milj\u00f8vern og ressursforvaltning.<\/span><\/p>\n

Abdoulaye Diack, som er programansvarlig for prosjektet, uttalte: \"Vi \u00f8nsker at folk i S\u00f8r som tar politiske beslutninger, skal ha de samme verkt\u00f8yene til r\u00e5dighet som folk i Nord.\"\u00a0<\/span><\/p>\n

Datasettet har allerede funnet praktisk anvendelse. I Uganda har <\/span>nonprofit Sunbird AI<\/span><\/a> utnytter disse dataene til elektrifiseringsprosjekter p\u00e5 landsbygda.<\/span><\/p>\n

WorldPop<\/span><\/a>ved University of Southampton, bruker den til \u00e5 forbedre globale befolkningsestimater - informasjon som er avgj\u00f8rende for planlegging av alt fra vaksinasjonskampanjer til katastrofeberedskap.<\/span><\/p>\n

WorldPops direkt\u00f8r, professor Andrew Tatem, forklarte hvorfor disse dataene er viktige: \"\u00c5 forst\u00e5 hvor folk bor, er avgj\u00f8rende for \u00e5 sikre at ressursene fordeles rettferdig og at ingen blir etterlatt n\u00e5r det gjelder \u00e5 levere tjenester som helsetjenester.\"<\/span><\/p>\n

Kunstig intelligens forbedrer satellitt- og 3D-kartlegging, noe som gir mer n\u00f8yaktig og tidsriktig innsikt i byvekst og milj\u00f8forandringer.<\/p>\n

For eksempel kan en\u00a0nylig prosjekt av Aya Data<\/a> i Ghana e<\/span>mp brukte kunstig intelligens til \u00e5 analysere tusenvis av satellittbilder av S\u00f8r-Amerika, og sporet endringer i skoger, urbane omr\u00e5der og jordbruksarealer over flere \u00e5r.<\/span><\/p>\n

AI-ens evne til \u00e5 oppdage subtile endringer, for eksempel tidlige tegn p\u00e5 avskoging eller nye utbygginger, gir informasjon om landbruk og naturvernpolitikk i den virkelige verden.<\/p>\n

I tillegg til \u00e5 observere langsiktige endringer i milj\u00f8et, gj\u00f8r kunstig intelligens det mulig for forskere \u00e5 oppdage og reagere p\u00e5 trusler som ulovlig hogst, krypskyting og uautoriserte endringer i arealbruk som er synlige p\u00e5 satellittbilder.<\/p>\n

Google innr\u00f8mmer at datasettet har sine begrensninger. Vedvarende skydekke kan hindre datainnsamlingen i noen av verdens mest fuktige regioner, og sv\u00e6rt sm\u00e5 strukturer kan ogs\u00e5 unng\u00e5 \u00e5 bli oppdaget.\u00a0<\/span><\/p>\n

Ikke desto mindre er Open Buildings 2.5D Temporal Dataset et utmerket eksempel p\u00e5 den kraftige synergien mellom datademokratisering og kunstig intelligens.<\/p>\n

Ved \u00e5 demokratisere tilgangen til kompleks geospatial informasjon baner det vei for mer rettferdig byplanlegging, katastrofeberedskap og b\u00e6rekraftig utvikling p\u00e5 global skala.<\/p>","protected":false},"excerpt":{"rendered":"

Google Research har lansert Open Buildings 2.5D Temporal Dataset, et prosjekt som sporer bygningsendringer i det globale s\u00f8r fra 2016 til 2023. Dette eksepsjonelt detaljerte datasettet gir et dynamisk, \u00e5rlig bilde av urbaniseringen. Det fanger opp bygningskonstruksjon, vekst og transformasjon i regioner der slike data lenge har v\u00e6rt knappe eller ikke-eksisterende. John Quinn, programvareingeni\u00f8r hos Google Research, forklarer hvorfor prosjektet er viktig: \"Det er et stort problem av mange praktiske \u00e5rsaker at vi ikke vet hvor bygningene befinner seg. Hvis du skal opprette tjenester eller vaksinasjonskampanjer eller redde folk etter en n\u00f8dsituasjon, er dette et problem.\" Verkt\u00f8yets<\/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\/nb\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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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