{"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\/de\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/","title":{"rendered":"Das Google-Projekt Open Buildings kartiert die st\u00e4dtische Expansion im globalen S\u00fcden"},"content":{"rendered":"

Google Research hat den Open Buildings 2.5D Temporal Dataset ver\u00f6ffentlicht, ein Projekt, das Geb\u00e4udever\u00e4nderungen im globalen S\u00fcden von 2016 bis 2023 verfolgt.<\/strong><\/p>\n

Dieser au\u00dfergew\u00f6hnlich detaillierte Datensatz bietet einen dynamischen, jahresbezogenen \u00dcberblick \u00fcber die Urbanisierung. Er erfasst den Bau, das Wachstum und die Umwandlung von Geb\u00e4uden in Regionen, in denen solche Daten lange Zeit nur sp\u00e4rlich oder gar nicht vorhanden waren.<\/p>\n

John Quinn, ein Software-Ingenieur bei Google Research, erkl\u00e4rt <\/span>warum das Projekt<\/a><\/span> ist wichtig: \"Nicht zu wissen, wo sich Geb\u00e4ude befinden, ist aus vielen praktischen Gr\u00fcnden ein gro\u00dfes Problem. Wenn man Dienste oder Impfkampagnen einrichtet oder Menschen nach einem Notfall rettet, ist das ein Problem.\"<\/span><\/p>\n

Der wichtigste Durchbruch des Tools besteht darin, dass es in der Lage ist, hochaufl\u00f6sende Erkenntnisse aus niedrig aufgel\u00f6sten Sentinel-2-Satellitenbildern zu gewinnen.\u00a0<\/span><\/p>\n

Durch die Analyse von bis zu 32 zeitversetzten Bildern desselben Ortes kann die KI Strukturen erkennen, die weitaus kleiner sind als ein einziges Pixel.<\/span><\/p>\n

\"KI
Geb\u00e4udedichte im Jahr 2023 auf der Grundlage der Daten des Open Buildings 2.5D Temporal Dataset. Quelle: Google<\/a>.<\/figcaption><\/figure>\n

\u00dcber die Erkennung hinaus sch\u00e4tzt das System die Geb\u00e4udeh\u00f6hen mit bemerkenswerter Pr\u00e4zision - im Durchschnitt auf 1,5 Meter genau. <\/span><\/p>\n

Auf diese Weise werden flache Satellitenbilder in reichhaltige, vielschichtige Daten umgewandelt, die Stadtplanern und humanit\u00e4ren Organisationen ein leistungsf\u00e4higes Instrument zum Verst\u00e4ndnis von Bev\u00f6lkerungsdichte und Ressourcenbedarf an die Hand geben.<\/span><\/p>\n

Kartierung des globalen S\u00fcdens<\/strong><\/h2>\n

Der Begriff \"Globaler S\u00fcden\" bezieht sich in der Regel auf Entwicklungsl\u00e4nder in Afrika, Asien, Lateinamerika und der Karibik.\u00a0<\/span><\/p>\n

Diese Regionen, in denen die Mehrheit der Weltbev\u00f6lkerung lebt, stehen oft vor der Herausforderung, eine qualitativ hochwertige Gesundheitsversorgung, Stadtentwicklung, Umweltschutz und Ressourcenmanagement zu gew\u00e4hrleisten.<\/span><\/p>\n

Abdoulaye Diack, ein Programmmanager des Projekts, erkl\u00e4rte: \"Wir wollen, dass die Menschen im globalen S\u00fcden, die politische Entscheidungen treffen, \u00fcber die gleichen Instrumente verf\u00fcgen wie der globale Norden.\"\u00a0<\/span><\/p>\n

Der Datensatz findet bereits praktische Anwendung. In Uganda wird der <\/span>nonprofit Sunbird AI<\/span><\/a> nutzt diese Daten f\u00fcr Projekte zur l\u00e4ndlichen Elektrifizierung.<\/span><\/p>\n

WorldPop<\/span><\/a>Das an der Universit\u00e4t Southampton angesiedelte Unternehmen nutzt es, um die Sch\u00e4tzungen der Weltbev\u00f6lkerung zu verfeinern - wichtige Informationen f\u00fcr die Planung von Impfkampagnen bis hin zur Katastrophenhilfe.<\/span><\/p>\n

Der Direktor von WorldPop, Professor Andrew Tatem, erkl\u00e4rte, warum diese Daten wichtig sind: \"Zu wissen, wo die Menschen leben, ist entscheidend, um sicherzustellen, dass die Ressourcen gerecht verteilt werden und niemand bei der Bereitstellung von Dienstleistungen wie der Gesundheitsversorgung zur\u00fcckbleibt.\"<\/span><\/p>\n

Die KI verbessert die Satelliten- und 3D-Kartierung und erm\u00f6glicht genauere und zeitnahe Einblicke in das st\u00e4dtische Wachstum und die Ver\u00e4nderungen der Umwelt.<\/p>\n

Zum Beispiel, ein\u00a0Aktuelles Projekt von Aya Data<\/a> in 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

Die F\u00e4higkeit der KI, subtile Ver\u00e4nderungen zu erkennen, z. B. fr\u00fche Anzeichen von Abholzung oder neuen Erschlie\u00dfungen, flie\u00dft in die reale Landwirtschaft und Naturschutzpolitik ein.<\/p>\n

Neben der Beobachtung langfristiger Ver\u00e4nderungen in der Umwelt erm\u00f6glicht KI den Forschern die Erkennung von und die Reaktion auf Bedrohungen wie illegale Abholzung, Wilderei und unerlaubte \u00c4nderungen der Landnutzung, die auf Satellitenbildern sichtbar sind.<\/p>\n

Google r\u00e4umt ein, dass sein Datensatz Grenzen hat. Anhaltende Bew\u00f6lkung kann die Datenerfassung in einigen der feuchtesten Regionen der Welt behindern, und auch sehr kleine Strukturen k\u00f6nnen sich der Erfassung entziehen.\u00a0<\/span><\/p>\n

Dennoch ist der Open Buildings 2.5D Temporal Dataset ein hervorragendes Beispiel f\u00fcr die starke Synergie zwischen Datendemokratisierung und KI.<\/p>\n

Durch die Demokratisierung des Zugangs zu komplexen Geodaten ebnet es den Weg f\u00fcr eine gerechtere Stadtplanung, Katastrophenvorsorge und nachhaltige Entwicklung auf globaler Ebene.<\/p>","protected":false},"excerpt":{"rendered":"

Google Research hat den Open Buildings 2.5D Temporal Dataset ver\u00f6ffentlicht, ein Projekt, das die baulichen Ver\u00e4nderungen im globalen S\u00fcden von 2016 bis 2023 verfolgt. Dieser au\u00dfergew\u00f6hnlich detaillierte Datensatz bietet einen dynamischen, j\u00e4hrlichen \u00dcberblick \u00fcber die Urbanisierung. Er erfasst den Bau, das Wachstum und den Wandel von Geb\u00e4uden in Regionen, in denen solche Daten lange Zeit kaum oder gar nicht vorhanden waren. John Quinn, ein Software-Ingenieur bei Google Research, erkl\u00e4rt, warum das Projekt so wichtig ist: \"Nicht zu wissen, wo sich Geb\u00e4ude befinden, ist aus vielen praktischen Gr\u00fcnden ein gro\u00dfes Problem. Wenn man Dienstleistungen oder Impfkampagnen entwickelt oder Menschen nach einem Notfall rettet, ist das ein Problem.\" Das Werkzeug<\/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\/de\/2024\/09\/googles-open-buildings-project-maps-urban-expansion-across-the-global-south\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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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