3D-GloBFP: the first global three-dimensional building footprint dataset

Y Che, X Li, X Liu, Y Wang, W Liao… - Earth System …, 2024 - essd.copernicus.org
Understanding urban vertical structures, particularly building heights, is essential for
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

S Du, X Zhang, Y Lei, X Huang, W Tu… - GIScience & Remote …, 2024 - Taylor & Francis
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 …

Mixed-use urban land parcels identification integrating geospatial data and machine learning

S Qu, H Wang, Z Hu, Z Wang, S Hu - Geo-spatial Information …, 2024 - Taylor & Francis
Urban land use information is essential for urban planning and sustainable development.
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 …

An LLM-Based Inventory Construction Framework of Urban Ground Collapse Events with Spatiotemporal Locations

Y Hao, J Qi, X Ma, S Wu, R Liu, X Zhang - ISPRS International Journal of …, 2024 - mdpi.com
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 …

Identifying building function using multisource data: A case study of China's three major urban agglomerations

Y Zheng, X Zhang, J Ou, X Liu - Sustainable Cities and Society, 2024 - Elsevier
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 …

Inferring building type using textual data and Natural Language Processing for urban building energy modelling

S Zhang, Y Zhou, L Chen, Y Huang, Z Wang - Building and Environment, 2025 - Elsevier
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 …

An urban building use identification framework based on integrated remote sensing and social sensing data with spatial constraints

Z **e, Y Wu, Z Ma, M Chen, Z Qian… - Geo-spatial …, 2024 - Taylor & Francis
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 …

Measuring three-dimension urban expansion using multi-source data and change detection algorithm: A case study of Shanghai

W **ao, L Ruan, K Wang, S Xu, W Yue, T He, W Chen… - Cities, 2025 - Elsevier
Irrational urban expansion debilitates the sustainability of the natural environment and
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 …