Predicting Sheet and Rill Erosion of Shihmen Reservoir Watershed in Taiwan Using Machine Learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting Sheet and Rill Erosion of Shihmen Reservoir Watershed in Taiwan Using Machine Learning
Authors
Keywords
-
Journal
Sustainability
Volume 11, Issue 13, Pages 3615
Publisher
MDPI AG
Online
2019-07-01
DOI
10.3390/su11133615
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improvement of the K-Factor of USLE and Soil Erosion Estimation in Shihmen Reservoir Watershed
- (2019) Bor-Shiun Lin et al. Sustainability
- Identifying and comparing relatively high soil erosion sites with four DEMs
- (2018) Walter Chen et al. ECOLOGICAL ENGINEERING
- Development of an intelligent system based on ANFIS model for predicting soil erosion
- (2018) Md. Rabiul Islam et al. Environmental Earth Sciences
- Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
- (2018) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Data-Driven Approach to Landslide-Susceptibility Mapping in Mountainous Terrain: Case Study from the Northwest Himalayas, Pakistan
- (2018) Muhammad Tayyib Riaz et al. Natural Hazards Review
- Soil Erosion Modeling and Comparison Using Slope Units and Grid Cells in Shihmen Reservoir Watershed in Northern Taiwan
- (2018) Yi-Hsin Liu et al. Water
- Water Erosion in Different Slope Lengths on Bare Soil
- (2017) Bárbara Bagio et al. REVISTA BRASILEIRA DE CIENCIA DO SOLO
- Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
- (2015) Ahmed Mohamed Youssef et al. Landslides
- Evaluation of soil erosion risk for watershed management in Shenmu watershed, central Taiwan using USLE model parameters
- (2015) B. S. Lin et al. Paddy and Water Environment
- Analysis of topographic and vegetative factors with data mining for landslide verification
- (2013) Fuan Tsai et al. ECOLOGICAL ENGINEERING
- Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping
- (2013) Natan Micheletti et al. Mathematical Geosciences
- Use of a total station to monitor post-failure sediment yields in landslide sites of the Shihmen reservoir watershed, Taiwan
- (2011) Zong-Xian Tsai et al. GEOMORPHOLOGY
- A spatial–temporal analysis of impacts from human development on the Shih-men Reservoir watershed, Taiwan
- (2011) Ying-Jung Chen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping
- (2011) Saro Lee et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Incorporating uncertainty in gully erosion calculations using the random forests modelling approach
- (2009) Petra M. Kuhnert et al. ENVIRONMETRICS
- Soil and bedrock distribution estimated from gully form and frequency: A GIS-based decision-tree model for Lebanon
- (2007) Rania Bou Kheir et al. GEOMORPHOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now