The GlobalBuildingAtlas comprises around 2.75 billion digital building models, making it the most comprehensive collection of spatially explicit building data to date. It includes all buildings for which suitable satellite images were available in 2019. The 3D models have a spatial resolution of 3×3 meters and are therefore around 30 times finer than previous global data sets. The atlas was developed by a team led by Prof. Xiaoxiang Zhu, holder of the Chair of Data Science in Earth Observation at TUM, which combines remote sensing, artificial intelligence and data-driven urban research in a global approach<\/p>\n\n\n\n
Detailed 3D models and global coverage Tool for planning, climate and risk With the GlobalBuildingAtlas, a research team from the Technical University of Munich has for the first time created an almost seamless, freely available 3D map of all buildings on Earth. It forms the basis for new applications in climate research, urban planning, from megacities to rural settlements, infrastructure development and disaster prevention.<\/p>\n","protected":false},"author":2,"featured_media":145445,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"pmpro_default_level":"","inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[22697,22351,12476,12483,39679,22433],"tags":[55737,12525,12526,55738,12528],"class_list":["post-145444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-company","category-global-en","category-immonews","category-proptech-en","category-standorte-en","category-trends-en","tag-3d-gebaeudedaten","tag-immoinvest-en","tag-immonews-en","tag-klimaanalyse","tag-news-en","pmpro-has-access"],"acf":{"bild_mit_ki_erstellt_worden":["Ja"],"lead":"With the GlobalBuildingAtlas, a research team from the Technical University of Munich has for the first time created an almost seamless, freely available 3D map of all buildings on Earth. It forms the basis for new applications in climate research, urban planning, from megacities to rural settlements, infrastructure development and disaster prevention.","autor":"Quelle Ingenieur","ort":"","bildunterschrift":"","bild_im_grid":false,"gallerie":"","newsim":""},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
<\/strong>Of the 2.75 billion entries, standardized LoD1 3D models are available for around 2.68 billion, which depict the basic shape and height of the buildings in simplified geometry. This allows volumes to be calculated, urban structures to be analyzed and settlement patterns to be compared worldwide. Of particular importance is the systematic coverage of previously underrepresented regions such as Africa, South America and rural areas, which are now captured with the same accuracy as dense metropolitan areas<\/p>\n\n\n\n
<\/strong>The data makes it possible to examine growth dynamics in fast-growing cities, identify high-density neighborhoods with potentially strained living space and determine infrastructure requirements more precisely. Researchers and administrations can thus develop indicators that show where the expansion of transport, energy and water networks, additional housing or climate adaptation measures are particularly urgent. At the same time, the GlobalBuildingAtlas creates a globally standardized reference system that allows analyses of urbanization, energy consumption and disaster risks on a comparable data basis.<\/p>\n\n","protected":false},"excerpt":{"rendered":"