Landslide Susceptibility Mapping Using Logistic Regression Model Based On Information Value for the Region Along China-Thailand Railway from Saraburi To Sikhio, Thailand-Reference-Cited by-同舟云学术

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Landslide Susceptibility Mapping Using Logistic Regression Model Based On Information Value for the Region Along China-Thailand Railway from Saraburi To Sikhio, Thailand

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Xu Chi,Zhang Wanchang,Yi Yaning,Xu Qi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8891871/8897702/08900041.pdf?arnumber=8900041

Cited by 6 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. Enhanced Absence Sampling Technique for Data-Driven Landslide Susceptibility Mapping: A Case Study in Songyang County, China;Remote Sensing;2023-06-30

2. Landslide Susceptibility Prediction from Satellite Data through an Intelligent System based on Deep Learning;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

3. Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China;2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI);2023-06-16

4. Landslide susceptibility mapping of Kalimpong in Eastern Himalayan Region using a Rprop ANN approach;Journal of Earth System Science;2022-05-28

5. Recursive Feature Elimination for Machine Learning-based Landslide Prediction Models;2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2021-04-13

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