Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes

Author:

Biljecki FilipORCID,Chow Yoong ShinORCID,Lee KayORCID

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning visual features from figure-ground maps for urban morphology discovery;Computers, Environment and Urban Systems;2024-04

2. Crowdsourcing Geospatial Data for Earth and Human Observations: A Review;Journal of Remote Sensing;2024-01

3. Evaluating OSM Building Footprint Data Quality in Québec Province, Canada from 2018 to 2023: A Comparative Study;Geomatics;2023-12-09

4. A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies;Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation;2023-11-15

5. Assessing the relationship between socio-demographic characteristics and OpenStreetMap contributor behaviours;Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geocomputational Analysis of Socio-Economic Data;2023-11-13

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