Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea

Integration of InSAR Time-Series Data and GIS to Assess Land Subsidence along Subway Lines in the Seoul Metropolitan Area, South Korea

The aims of this research were to map and analyze the risk of land subsidence in the Seoul Metropolitan Area, South Korea using satellite interferometric synthetic aperture radar (InSAR) time-series data, and three ensemble machine-learning models, Bagging, LogitBoost, and Multiclass Classifier. Of...

Full description

Bibliographic Details
Main Authors: Muhammad Fulki Fadhillah, Arief Rizqiyanto Achmad, Chang-Wook Lee
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Remote Sensing
Subjects:
Seoul
synthetic aperture radar
land subsidence
GIS
machine learning
time-series
Online Access:https://www.mdpi.com/2072-4292/12/21/3505

Internet

https://www.mdpi.com/2072-4292/12/21/3505

Similar Items