Assessing OSM building completeness for almost 13,000 cities globally-Reference-Cited by-同舟云学术

Assessing OSM building completeness for almost 13,000 cities globally

Published:2022-12-19 Issue:1 Volume:15 Page:2400-2421
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Zhou Qi¹²,Zhang Yuheng¹,Chang Ke¹,Brovelli Maria Antonia³

Affiliation:

1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, People’s Republic of China

2. International Research Center of Big Data for Sustainable Development Goals, Beijing, People’s Republic of China

3. Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy

Funder

National Natural Science Foundation of China

Director Fund of the International Research Center of Big Data for Sustainable Development Goals

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2159550

Reference39 articles.

1. Fusion of Multi-Sensor-Derived Heights and OSM-Derived Building Footprints for Urban 3D Reconstruction

2. A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis

3. Bondarenko, M., D. Kerr, A. Sorichetta, and A. J. Tatem. 2020. “Data from: Census/projection-disaggregated gridded population datasets for 189 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs” (dataset). WorldPop, University of Southampton, UK. Accessed December 11, 2022. https://hub.worldpop.org/doi/10.5258SOTON/WP00684.

4. High-resolution population estimation using household survey data and building footprints

5. A New Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints

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