登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Bai, Zhigang, Liu, Qimeng, Liu, Yu (2021) Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China. Arabian Journal of Geosciences, 14 (24) doi:10.1007/s12517-021-08871-w

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleLandslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China
JournalArabian Journal of Geosciences
AuthorsBai, ZhigangAuthor
Liu, QimengAuthor
Liu, YuAuthor
Year2021 (December)Volume14
Issue24
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s12517-021-08871-wSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID13003402Long-form Identifiermindat:1:5:13003402:3
GUID0
Full ReferenceBai, Zhigang, Liu, Qimeng, Liu, Yu (2021) Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China. Arabian Journal of Geosciences, 14 (24) doi:10.1007/s12517-021-08871-w
Plain TextBai, Zhigang, Liu, Qimeng, Liu, Yu (2021) Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China. Arabian Journal of Geosciences, 14 (24) doi:10.1007/s12517-021-08871-w
In(2021, December) Arabian Journal of Geosciences Vol. 14 (24) Springer Science and Business Media LLC

See Also

These are possibly similar items as determined by title/reference text matching only.

Meliho, Modeste, Khattabi, Abdellatif, Asinyo, Joseph (2021) Spatial modeling of flood susceptibility using machine learning algorithms. Arabian Journal of Geosciences, 14 (21) doi:10.1007/s12517-021-08610-1
Zhou, Suhua, Zhang, Yunqiang, Tan, Xin, Abbas, Syed Muntazir (2021) A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China. Arabian Journal of Geosciences, 14 (6) doi:10.1007/s12517-021-06630-5
Jones, Sheelu, Kasthurba, A. K., Bhagyanathan, Anjana, Binoy, B. V. (2021) Landslide susceptibility investigation for Idukki district of Kerala using regression analysis and machine learning. Arabian Journal of Geosciences, 14 (10) doi:10.1007/s12517-021-07156-6
Tekin, Senem (2021) Completeness of landslide inventory and landslide susceptibility mapping using logistic regression method in Ceyhan Watershed (southern Turkey) Arabian Journal of Geosciences, 14 (17) doi:10.1007/s12517-021-07583-5
Bai, Zhigang, Liu, Qimeng, Liu, Yu (2022) Groundwater Potential Mapping in Hubei Region of China Using Machine Learning, Ensemble Learning, Deep Learning and AutoML Methods. Natural Resources Research, 31 (5) 2549-2569 doi:10.1007/s11053-022-10100-4
Farooq, Salman, Akram, Mian Sohail (2021) Landslide susceptibility mapping using information value method in Jhelum Valley of the Himalayas. Arabian Journal of Geosciences, 14 (10) doi:10.1007/s12517-021-07147-7
Liu, Yue (2021) Retraction Note: Climate change in river basin based on machine learning and regional financial risk identification. Arabian Journal of Geosciences, 14 (24) doi:10.1007/s12517-021-09159-9
Liu, Hanhu, Li, Xingong, Meng, Tian, Liu, Yanyan (2020) Susceptibility mapping of damming landslide based on slope unit using frequency ratio model. Arabian Journal of Geosciences, 13 (16) doi:10.1007/s12517-020-05689-w
Rahaman, Aneesah, Venkatesan, Madha Suresh, Ayyamperumal, Ramamoorthy (2021) GIS-based landslide susceptibility mapping method and Shannon entropy model: a case study on Sakaleshapur Taluk, Western Ghats, Karnataka, India. Arabian Journal of Geosciences, 14 (20) doi:10.1007/s12517-021-08422-3
Feizizadeh, Bakhtiar, Roodposhti, Majid Shadman, Blaschke, Thomas, Aryal, Jagannath (2017) Comparing GIS-based support vector machine kernel functions for landslide susceptibility mapping. Arabian Journal of Geosciences, 10 (5) doi:10.1007/s12517-017-2918-z
Bai, Zhigang, Liu, Qimeng, Liu, Yu (2022) Risk assessment of water inrush from coal seam roof with an AHP–CRITIC algorithm in Liuzhuang Coal Mine, China. Arabian Journal of Geosciences, 15 (4) doi:10.1007/s12517-022-09621-2
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.4 10:07:38
Go to top of page