Rockfall source identification using a hybrid Gaussian mixture-ensemble machine learning model and LiDAR data

• Main Authors: Fanos, Ali Mutar, Pradhan, Biswajeet, Mansor, Shattri, Md Yusoff, Zainuddin, Abdullah, Ahmad Fikri, Jung, Hyung Sup
• Format: Article
• Language: English
• Published: The Korean Society of Remote Sensing 2019
• Online Access: http://psasir.upm.edu.my/id/eprint/82041/1/Rockfall%20source%20identification%20using%20a%20hybrid%20Gaussian%20mixture-ensemble%20machine%20learning%20model%20and%20LiDAR%20data.pdf; http://psasir.upm.edu.my/id/eprint/82041/; https://www.koreascience.or.kr/article/JAKO201909242559364.page

The availability of high-resolution laser scanning data and advanced machine learning algorithms has enabled an accurate potential rockfall source identification. However, the presence of other mass movements, such as landslides within the same region of interest, poses additional challenges to this...