Recognition and Spatial Distribution of Rural Buildings in Vietnam

Xin Deng, Yutian Liang (), Xun Li and Weipan Xu
Additional contact information
Xin Deng: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Yutian Liang: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Xun Li: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China
Weipan Xu: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510006, China

Land, 2023, vol. 12, issue 12, 1-15

Abstract: The research on the distribution of rural buildings is one of the fundamental works of urban–rural development in Vietnam. Adopting a Mask R-CNN deep learning framework and collecting sub-meter remote sensing images, this research used a remote sensing interpretation model of rural buildings trained based on East Asian characteristics of rural buildings and successfully recognized about 2.87 million rural buildings in 34 Vietnamese provincial administrative districts with a total area of rural buildings of 2492 million square meters. The reliability of the identification results was verified by manual detection and quantitative statistics, and a multi-scale database of rural buildings in Vietnam based on individual rural buildings was created. Based on the database, this paper analyzes the distribution characteristics of rural buildings and summarizes characteristics of rural building distribution at the country, regional, and provincial scales. The identification results lay the foundation for the next study of urban–rural relations in Southeast Asia and the construction of a basic database on villages.

Keywords: rural building; remote sensing interpretation; density; distribution; Vietnam (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/12/2142/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/12/2142/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:12:p:2142-:d:1296159

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().