Machine learning remote sensing using the random forest classifier to detect the building damage caused by the Anak Krakatau Volcano tsunami-Reference-Cited by-同舟云学术

Machine learning remote sensing using the random forest classifier to detect the building damage caused by the Anak Krakatau Volcano tsunami

Published:2022-12-07 Issue:1 Volume:14 Page:28-51
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Virtriana Riantini¹²,Harto Agung Budi¹²,Atmaja Fiza Wira³,Meilano Irwan²⁴,Fauzan Kamal Nur⁵⁶,Anggraini Tania Septi³,Ihsan Kalingga Titon Nur³,Mustika Fatwa Cahya⁵,Suminar Wulan³

Affiliation:

1. Remote Sensing and GIS Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Bandung, Indonesia

2. Department of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia

3. Doctoral Program of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia

4. Survey and Cadastral Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia

5. Master Program of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, Indonesia

6. Badan Informasi Geospasial, Geospatial Information Agency of Indonesia, Cibinong, Indonesia

Funder

Lembaga Penelitian dan Pengabdian Masyarakat

Remote Sensing and GIS Research Group

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2022.2147455

Reference63 articles.

1. Learning from multimodal and multitemporal earth observation data for building damage mapping

2. Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia

3. Scenarios of Earthquake and Tsunami Damage Probability in Callao Region, Peru Using Tsunami Fragility Functions

4. IDENTIFIKASI KERUSAKAN BANGUNAN PASCA GEMPA BUMI MENGGUNAKAN CITRA SATELIT WORLDVIEW-2

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