John P. Tiefenbacher

According to our database, John P. Tiefenbacher authored at least 6 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Identification of the most suitable afforestation sites by <i>Juniperus excels</i> specie using machine learning models: Firuzkuh semi-arid region, Iran.

Saleh Yousefi, Mohammadtaghi Avand, Peyman Yariyan, Hassan Jahanbazi Goujani, Romulus Costache, Shahla Tavangar, John P. Tiefenbacher

Ecol. Informatics, 2021

2020

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study.

Alireza Arabameri, Thomas Blaschke, Biswajeet Pradhan, Hamid Reza Pourghasemi, John P. Tiefenbacher, Dieu Tien Bui

Sensors, 2020

Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model.

Alireza Arabameri, John P. Tiefenbacher, Thomas Blaschke, Biswajeet Pradhan, Dieu Tien Bui

Remote. Sens., 2020

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility.

Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, Jagabandhu Roy, Biswajeet Pradhan, John P. Tiefenbacher, Phuong-Thao Thi Ngo

Remote. Sens., 2020

Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran).

Alireza Arabameri, Saro Lee, John P. Tiefenbacher, Phuong-Thao Thi Ngo

Remote. Sens., 2020

2019

Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions.

Omid Rahmati, Omid Ghorbanzadeh, Teimur Teimurian, Farnoush Mohammadi, John P. Tiefenbacher, Fatemeh Falah, Saied Pirasteh, Phuong-Thao Thi Ngo, Dieu Tien Bui

Remote. Sens., 2019