Farzin Shabani

According to our database, Farzin Shabani authored at least 9 papers between 2015 and 2023.

Collaborative distances:

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

2023

Mapping Post-Earthquake Landslide Susceptibility Using U-Net, VGG-16, VGG-19, and Metaheuristic Algorithms.

Mahyat Shafapour Tehrany, Fatemeh Rezaie, Changhyun Jun, Essam Heggy, Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, Hamidreza Moeini

Remote. Sens., September, 2023

A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment.

Mahyat Shafapour Tehrany, Maryna Batur, Farzin Shabani, Biswajeet Pradhan, Bahareh Kalantar, Haluk Özener

Remote. Sens., April, 2023

2022

Deep Ensemble Learning for Land Cover Classification Based on Hyperspectral Prisma Image.

Bahareh Kalantar, Seyd Teymoor Seydi, Naonori Ueda, Vahideh Saeidi, Alfian Abdul Halin, Farzin Shabani

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia.

Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani

Remote. Sens., 2021

Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping.

Mahyat Shafapour Tehrany, Haluk Özener, Bahareh Kalantar, Naonori Ueda, Mohammad Reza Habibi, Fariborz Shabani, Vahideh Saeidi, Farzin Shabani

J. Sensors, 2021

2020

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data.

Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Kourosh Ahmadi, Alfian Abdul Halin, Farzin Shabani

Remote. Sens., 2020

Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data.

Bahareh Kalantar, Naonori Ueda, Mohammed Oludare Idrees, Saeid Janizadeh, Kourosh Ahmadi, Farzin Shabani

Remote. Sens., 2020

2018

Dry stress decreases areas suitable for <i>Neoleucinodes elegantalis</i> (Lepidoptera: Crambidae) and affects its survival under climate predictions in South America.

Ricardo Siqueira da Silva, Lalit Kumar, Farzin Shabani, Arthur Vieira Ribeiro, Marcelo Coutinho Picanço

Ecol. Informatics, 2018

2015

Should species distribution models use only native or exotic records of existence or both?

Farzin Shabani, Lalit Kumar

Ecol. Informatics, 2015