A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia-Reference-Cited by-同舟云学术

A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia

Published:2024-01-20 Issue:3 Volume:83 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Melati Dian Nuraini,Umbara Raditya Panji,Astisiasari Astisiasari,Wisyanto Wisyanto,Trisnafiah Syakira,Trinugroho Trinugroho,Prawiradisastra Firman,Arifianti Yukni,Ramdhani Taufik Iqbal,Arifin Samsul,Anggreainy Maria Susan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12665-023-11402-3.pdf

Reference105 articles.

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2. Achanta R, Susstrunk S (2017) Superpixels and polygons using simple non-iterative clustering. In: Proceedings of the IEEE Conference on computer vision and pattern recognition, pp 4651–4660

3. Adnan MSG, Rahman MS, Ahmed N et al (2020) Improving spatial agreement in machine learning-based landslide susceptibility mapping. Remote Sens 12:3347. https://doi.org/10.3390/rs12203347

4. Ado M, Amitab K, Maji AK et al (2022) Landslide susceptibility mapping using machine learning: a literature survey. Remote Sens 14:3029. https://doi.org/10.3390/rs14133029

5. Al-Areeq AM, Abba SI, Yassin MA et al (2022) Computational machine learning approach for flood susceptibility assessment integrated with remote sensing and GIS techniques from Jeddah, Saudi Arabia. Remote Sens 14:10. https://doi.org/10.3390/rs14215515

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