Soil erosion and landslide susceptibility insights based on hierarchical clustering and multilayer perceptron networks: a Nigerian case study
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-022-04714-7.pdf
Reference92 articles.
1. Achour Y, Pourghasemi HR (2020) How do machine learning techniques help in increasing accuracy of landslide susceptibility maps? Geosci Front 11:871–883. https://doi.org/10.1016/j.gsf.2019.10.001
2. Adhikari K, Hartemink AE (2016) Linking soils to ecosystem services—a global review. Geoderma 262:101–111. https://doi.org/10.1016/j.geoderma.2015.08.009
3. Al-Abadi AM, Al-Ali AK (2018) Susceptibility mapping of gully erosion using GIS-based statistical bivariate models: a case study from Ali Al-Gharbi District, Maysan Governorate, southern Iraq. Environ Earth Sci 77(6):249. https://doi.org/10.1007/s12665-018-7434-2
4. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58:21–44
5. Andrews DCA, Martin GR (2000) Criteria for Liquefaction of Silty Soils. Proc.12th WCEE, Auckland, New Zealand
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. Landslide susceptibility mapping core-base factors and models’ performance variability: a systematic review;Natural Hazards;2024-05-29
2. Multidimensional characterization of problematic soils linked to foundation and building failures in parts of Southeast Nigeria;Modeling Earth Systems and Environment;2024-04-17
3. Reliability of soil–pile interaction problems with spatial stochastic fields for soil properties;International Journal of Environmental Science and Technology;2024-04-06
4. Estimation of soil erodibility in Peninsular Malaysia: A case study using multiple linear regression and artificial neural networks;Heliyon;2024-04
5. Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development;Journal of Cleaner Production;2024-03
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