Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Recognition and spatial distribution of rural Building in Vietnam

Version 1 : Received: 13 November 2023 / Approved: 14 November 2023 / Online: 14 November 2023 (10:18:49 CET)

A peer-reviewed article of this Preprint also exists.

Deng, X.; Liang, Y.; Li, X.; Xu, W. Recognition and Spatial Distribution of Rural Buildings in Vietnam. Land 2023, 12, 2142. Deng, X.; Liang, Y.; Li, X.; Xu, W. Recognition and Spatial Distribution of Rural Buildings in Vietnam. Land 2023, 12, 2142.

Abstract

The research on the distribution of rural buildings is one of the fundamental works of urban-rural development in Vietnam. Adopting 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 2,492 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 buildings 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

Subject

Social Sciences, Geography, Planning and Development

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.