Potential of ensemble learning to improve tree-based classifiers for landslide susceptibility mapping

被引：0
|
作者：
Song, Jiahui [1 ]
Wang, Yi [1 ]
Fang, Zhice [1 ]
Peng, Ling [2 ]
Hong, Haoyuan [3 ]
机构：
[1] Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, China
[2] China Institute of Geo-Environment Monitoring, Beijing, China
[3] Department of Geography and Regional Research, University of Vienna, Vienna, Austria
来源：
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2020年 / 13卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4642 / 4662
相关论文
共 50 条
  • [1] Potential of Ensemble Learning to Improve Tree-Based Classifiers for Landslide Susceptibility Mapping
    Song, Jiahui
    Wang, Yi
    Fang, Zhice
    Peng, Ling
    Hong, Haoyuan
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 13 : 4642 - 4662
  • [2] Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
    Usta, Ziya
    Akinci, Halil
    Akin, Alper Tunga
    EARTH SCIENCE INFORMATICS, 2024, 17 (02) : 1459 - 1481
  • [3] Performance analysis of advanced decision tree-based ensemble learning algorithms for landslide susceptibility mapping
    Sahin, Emrehan Kutlug
    Colkesen, Ismail
    GEOCARTO INTERNATIONAL, 2021, 36 (11) : 1253 - 1275
  • [4] Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study
    Wei, Aihua
    Yu, Kaining
    Dai, Fenggang
    Gu, Fuji
    Zhang, Wanxi
    Liu, Yu
    SUSTAINABILITY, 2022, 14 (10)
  • [5] Comparative Analysis of Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping: A Case Study in Rize, Turkey
    Yavuz Ozalp, Ayse
    Akinci, Halil
    Zeybek, Mustafa
    WATER, 2023, 15 (14)
  • [6] Decision tree based ensemble machine learning approaches for landslide susceptibility mapping
    Arabameri, Alireza
    Chandra Pal, Subodh
    Rezaie, Fatemeh
    Chakrabortty, Rabin
    Saha, Asish
    Blaschke, Thomas
    Di Napoli, Mariano
    Ghorbanzadeh, Omid
    Thi Ngo, Phuong Thao
    GEOCARTO INTERNATIONAL, 2022, 37 (16) : 4594 - 4627
  • [7] RETRACTED: Performance Analysis of Logistic Model Tree-Based Ensemble Learning Algorithms for Landslide Susceptibility Mapping (Retracted Article)
    Yang, Panpan
    Wang, Nianqin
    Guo, Youjin
    Ma, Xiao
    Wang, Chao
    JOURNAL OF SENSORS, 2022, 2022
  • [8] Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping
    Saha, Sunil
    Roy, Jagabandhu
    Hembram, Tusar Kanti
    Pradhan, Biswajeet
    Dikshit, Abhirup
    Abdul Maulud, Khairul Nizam
    Alamri, Abdullah M.
    WATER, 2021, 13 (19)
  • [9] Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility
    Arabameri, Alireza
    Karimi-Sangchini, Ebrahim
    Pal, Subodh Chandra
    Saha, Asish
    Chowdhuri, Indrajit
    Lee, Saro
    Tien Bui, Dieu
    REMOTE SENSING, 2020, 12 (20) : 1 - 27
  • [10] Discussion on the tree-based machine learning model in the study of landslide susceptibility
    Liu, Qiang
    Tang, Aiping
    Huang, Ziyuan
    Sun, Lixin
    Han, Xiaosheng
    NATURAL HAZARDS, 2022, 113 (02) : 887 - 911
12345