Optimizing landslide susceptibility mapping using machine learning and geospatial techniques
Author:
Funder
North Carolina Department of Transportation
Publisher
Elsevier BV
Reference92 articles.
1. How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?;Achour;Geosci. Front.,2020
2. Improving spatial agreement in machine learning-based landslide susceptibility mapping;Adnan;Remote Sens.,2020
3. Landslide susceptibility mapping using machine learning: a Danish case study;Ageenko;ISPRS Int. J. Geo Inf.,2022
4. Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey;Akinci;Nat. Hazards,2021
5. Evaluation of Landslide Susceptibility of Şavşat District of Artvin Province (Turkey) Using Machine Learning Techniques;Akinci,2021
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A novel technology for unraveling the spatial risk of Natech disasters based on machine learning and GIS: a case study from the city of Changzhou, China;Earth Science Informatics;2024-09-09
2. Landslide susceptibility prediction and mapping in Taihang mountainous area based on optimized machine learning model with genetic algorithm;Earth Science Informatics;2024-08-31
3. Refined Landslide Susceptibility Mapping Considering Land Use Changes and InSAR Deformation: A Case Study of Yulin City, Guangxi;Remote Sensing;2024-08-17
4. Application of Artificial Intelligence and Remote Sensing for Landslide Detection and Prediction: Systematic Review;Remote Sensing;2024-08-12
5. Study on Landslide Susceptibility Based on Multi-Model Coupling: A Case Study of Sichuan Province, China;Sustainability;2024-08-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3