Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting

Open Data-Driven 3D Building Models for Micro-Population Mapping in a Data-Limited Setting

Urban planning and management increasingly depend on accurate building and population data. However, many regions lack sufficient resources to acquire and maintain these data, creating challenges in data availability. Our methodology integrates multiple data sources, including aerial imagery, Points...

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Bibliographic Details
Main Authors: Kittisak Maneepong, Ryota Yamanotera, Yuki Akiyama, Hiroyuki Miyazaki, Satoshi Miyazawa, Chiaki Mizutani Akiyama
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
urban population mapping
building height estimation
building use classification
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/21/3922
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https://www.mdpi.com/2072-4292/16/21/3922

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