A high-resolution nationwide urban village mapping product for 342 Chinese cities based on foundation models
🤖 AI Summary
This study addresses the lack of nationwide, high-resolution data for identifying urban villages—a critical gap that hinders effective urban governance and renewal in China. By integrating multi-source geospatial data within a foundation model–driven mapping framework, the authors present the first high-resolution delineation of urban village boundaries across 342 Chinese cities, producing the open-access dataset GeoLink-UV. The approach synergistically combines optical remote sensing imagery, geospatial vector data, and foundation models, with geographic stratified sampling employed to validate results and account for regional heterogeneity. Findings reveal that urban villages occupy an average of 8% of built-up areas, are predominantly concentrated in central and southern China, and typically exhibit low-rise, high-density morphologies with notable regional variations, thereby providing essential data infrastructure for sustainable urban research and policy.
Application Category
📝 Abstract
Urban Villages (UVs) represent a distinctive form of high-density informal settlement embedded within China's rapidly urbanizing cities. Accurate identification of UVs is critical for urban governance, renewal, and sustainable development. But due to the pronounced heterogeneity and diversity of UVs across China's vast territory, a consistent and reliable nationwide dataset has been lacking. In this work, we present GeoLink-UV, a high-resolution nationwide UV mapping product that clearly delineates the locations and boundaries of UVs in 342 Chinese cities. The dataset is derived from multisource geospatial data, including optical remote sensing images and geo-vector data, and is generated through a foundation model-driven mapping framework designed to address the generalization issues and improve the product quality. A geographically stratified accuracy assessment based on independent samples from 28 cities confirms the reliability and scientific credibility of the nationwide dataset across heterogeneous urban contexts. Based on this nationwide product, we reveal substantial interregional disparities in UV prevalence and spatial configuration. On average, UV areas account for 8 % of built-up land, with marked clustering in central and south China. Building-level analysis further confirms a consistent low-rise, high-density development pattern of UVs nationwide, while highlighting regionally differentiated morphological characteristics. The GeoLink-UV dataset provides an open and systematically validated geospatial foundation for urban studies, informal settlement monitoring, and evidence-based urban renewal planning, and contributes directly to large-scale assessments aligned with Sustainable Development Goal 11. The GeoLink-UV dataset introduced in this article is freely available at https://doi.org/10.5281/zenodo.18688062.
Problem
Research questions and friction points this paper is trying to address.
Urban Villages
nationwide mapping
urban informality
spatial heterogeneity
sustainable urban development
Innovation
Methods, ideas, or system contributions that make the work stand out.
foundation models
urban village mapping
multisource geospatial data
high-resolution geospatial dataset
geographically stratified validation
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