Extraction of Building Information Based on Multi-Source Spatiotemporal Data for Earthquake Insurance in Urban Areas
Establishing a database of building exposures is an important basic work in earthquake insurance research. How to efficiently, accurately, and scientifically construct the risk exposure database of buildings has become a hot topic these days. Based on multi-source data, a system for extracting seism...
Main Authors: | Pan Zhang, Xiaojun Li, Qiumei He |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/11/6501 |
Similar Items
-
Census-Based Typological Damage Fragility Curves and Seismic Risk Scenarios for Unreinforced Masonry Buildings
by: Maria Zucconi, et al.
Published: (2022-01-01) -
Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
by: Christopher T. Lloyd, et al.
Published: (2020-11-01) -
Reducing the carbon footprint of buildings to improve sustainable development mechanisms of the construction complex
by: Maria Suvorova, et al.
Published: (2021-09-01) -
Spatiotemporal Changes in 3D Building Density with LiDAR and GEOBIA: A City-Level Analysis
by: Karolina Zięba-Kulawik, et al.
Published: (2020-11-01) -
Earthquake design of concrete masonry buildings/
by: 374087 Englekirk, Robert E., et al.
Published: (1984)