Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data

Areas at risk of land subsidence in Jakarta can be identified using a land subsidence susceptibility map. This study evaluates the quality of a susceptibility map made using functional (logistic regression and multilayer perceptron) and meta-ensemble (AdaBoost and LogitBoost) machine learning algori...

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Autors principals:	Wahyu Luqmanul Hakim, Arief Rizqiyanto Achmad, Chang-Wook Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-11-01
Col·lecció:	Remote Sensing
Matèries:	Jakarta land subsidence susceptibility mapping time-series InSAR StaMPS processing machine learning
Accés en línia:	https://www.mdpi.com/2072-4292/12/21/3627
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