3D-GloBFP: the first global three-dimensional building footprint dataset
Understanding urban vertical structures, particularly building heights, is essential for
examining the intricate interaction between humans and their environment. Such datasets …
examining the intricate interaction between humans and their environment. Such datasets …
Map** urban functional zones with remote sensing and geospatial big data: a systematic review
Urban functional zones (UFZs) serve as the spatial carriers embodying urban economic and
social activities, thus making the accurate map** of UFZs imperative for urban planning …
social activities, thus making the accurate map** of UFZs imperative for urban planning …
Mixed-use urban land parcels identification integrating geospatial data and machine learning
Urban land use information is essential for urban planning and sustainable development.
However, the increasing prevalence of Mixed-Use Urban Land (MUUL) introduces …
However, the increasing prevalence of Mixed-Use Urban Land (MUUL) introduces …
Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming
Z Zhang, M Zhang, X Song, Z Li - Geo-spatial Information Science, 2024 - Taylor & Francis
In the pursuit of sustainable urban development, it is imperative to address strategies for
optimizing and harmonizing the configuration of urban spatial layouts, especially in …
optimizing and harmonizing the configuration of urban spatial layouts, especially in …
An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations
Historical news media reports serve as a vital data source for understanding the risk of
urban ground collapse (UGC) events. At present, the application of large language models …
urban ground collapse (UGC) events. At present, the application of large language models …
Identifying building function using multisource data: A case study of China's three major urban agglomerations
As crucial geographical components sha** urban landscapes, defining the functions of
buildings plays one of the pivotal roles in planning urban development and facilitating socio …
buildings plays one of the pivotal roles in planning urban development and facilitating socio …
Inferring building type using textual data and Natural Language Processing for urban building energy modelling
Building type is among the most important inputs for building energy model. However, the
information of building type is always missing in urban scale building energy modeling. This …
information of building type is always missing in urban scale building energy modeling. This …
An urban building use identification framework based on integrated remote sensing and social sensing data with spatial constraints
Building use identification is crucial in urban planning and management. Current
identification methods often rely on a single data source and neglect spatial proximity. In this …
identification methods often rely on a single data source and neglect spatial proximity. In this …
Measuring three-dimension urban expansion using multi-source data and change detection algorithm: A case study of Shanghai
Irrational urban expansion debilitates the sustainability of the natural environment and
human settlement environment. However, urban expansion research often prioritizes …
human settlement environment. However, urban expansion research often prioritizes …
CMAB: A First National-Scale Multi-Attribute Building Dataset in China Derived from Open Source Data and GeoAI
Y Zhang, H Zhao, Y Long - arxiv preprint arxiv:2408.05891, 2024 - arxiv.org
Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like
rooftop, height and orientations, as well as indicative attributes like function, quality, and …
rooftop, height and orientations, as well as indicative attributes like function, quality, and …