2025年2月27日木曜日

Landslide + 機械学習の傾向

Landslide identification using machine learning techniques: Review, motivation, and future prospects | Earth Science Informatics

大きく分けて、2つの目的で機械学習が使われていました。
  • 発生場所の特定(Landslide detection, identification, mapping)
  • 危険度予測(Landslide susceptibility prediction, mapping)
2022年までですので、画像を扱う場合はCNNが多いようです。機械学習分野で利用されているの ViT ベースのアーキテクチャは見当たりません。
Landslide susceptibility は2003年から。2017年までは ANN と SVM が主体。その後はCNN, RF, DNN, GBDTなど。現在は LightGBM でしょうか。 

少し古い情報ですが、変遷の一例として使えそうです。

Year

Objective

Machine Learning Model

2003

Landslide susceptibility analysis

GIS and ANN

2005

Landslide susceptibility analysis

Multiple ANN and GIS

2005

Landslide susceptibility assessment

ANN

2005

Landslide susceptibility mapping

Neural networks and GIS

2006

Landslide susceptibility analysis

SVM

2007

Landslide susceptibility analysis

ANN and GIS

2008

Landslide susceptibility analysis

SVM

2008

Landslide susceptibility analysis and prediction

GMM

2008

Landslide susceptibility zonation

ANN and DA

2009

Landslide susceptibility analysis

Decision tree

2011

Landslide susceptibility zonation

SVM

2012

Landslide susceptibility assessment

SVM, Decision Tree, and Logistic

2013

Landslide susceptibility mapping

SVM

2014

Landslide susceptibility mapping

Decision tree

2014

Landslide susceptibility mapping

Decision tree

2016

Landslide susceptibility mapping

ANN

2017

Landslide susceptibility assessment

SVM

2017

Landslide susceptibility mapping

SVM

2018

Landslide susceptibility mapping

Genetic Algorithm

2019

Landslide susceptibility mapping

Random forest, Naive Bayes, and Boosted Logistic Regression

2019

Landslide susceptibility mapping

CNN

2020

Landslide susceptibility prediction

FC-SAE

2021

Landslide susceptibility mapping

Random forest

2021

Landslide susceptibility prediction

GB

2021

Landslide susceptibility prediction

CNN

2022

Landslide susceptibility mapping

CNN and GWO

2022

Landslide susceptibility mapping

Random Forest

2022

Landslide susceptibility mapping

Deep Neural Networks

2018a

Landslide susceptibility assessment

Random forest

2018b

Landslide susceptibility assessment

Boosted tree


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