Farzin Shabani

Farzin Shabani

Flinders University

H-index: 34

Oceania-Australia

About Farzin Shabani

Farzin Shabani, With an exceptional h-index of 34 and a recent h-index of 29 (since 2020), a distinguished researcher at Flinders University, specializes in the field of vegetation modelling, GIS & environmental modelling, risk assessments, climate change impacts.

His recent articles reflect a diverse array of research interests and contributions to the field:

Protecting alpine biodiversity in the Middle East from climate change: Implications for high‐elevation birds

Spread of Striga asiatica through suitable climatic conditions: Risk assessment in new areas producing Zea mays in South America

Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms

MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models

Forecasting Brassica napus production under climate change with a mechanistic species distribution model

Evaluation of Landsat 8 and Sentinel‑2 vegetation indices to predict soil organic carbon using machine learning models

An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes

Which Plant Where: a plant selection tool for changing urban climates

Farzin Shabani Information

University

Position

& Macquarie University

Citations(all)

3824

Citations(since 2020)

3244

Cited By

1510

hIndex(all)

34

hIndex(since 2020)

29

i10Index(all)

57

i10Index(since 2020)

55

Email

University Profile Page

Flinders University

Google Scholar

View Google Scholar Profile

Farzin Shabani Skills & Research Interests

vegetation modelling

GIS & environmental modelling

risk assessments

climate change impacts

Top articles of Farzin Shabani

Title

Journal

Author(s)

Publication Date

Protecting alpine biodiversity in the Middle East from climate change: Implications for high‐elevation birds

Diversity and Distributions

Mohsen Ahmadi

Muhammad Ali Nawaz

Hamed Asadi

Mahmoud‐Reza Hemami

Morteza Naderi

...

2024/5

Spread of Striga asiatica through suitable climatic conditions: Risk assessment in new areas producing Zea mays in South America

Journal of Arid Environments

Fausto Henrique Vieira Araújo

José Carlos Barbosa dos Santos

Jose Barbosa dos Santos

Alexandre Ferreira da Silva

Rodrigo Soares Ramos

...

2023/3/1

Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms

Remote Sensing

Mahyat Shafapourtehrany

Fatemeh Rezaie

Changhyun Jun

Essam Heggy

Sayed M Bateni

...

2023/9/13

MaxEnt brings comparable results when the input data are being completed; Model parameterization of four species distribution models

Ecology and Evolution

Mohsen Ahmadi

Mahmoud‐Reza Hemami

Mohammad Kaboli

Farzin Shabani

2023/2

Forecasting Brassica napus production under climate change with a mechanistic species distribution model

Scientific Reports

Cláudia Eduarda Borges

Ronnie Von dos Santos Veloso

Crislaine Alves Da Conceição

Débora Sampaio Mendes

Nadiezhda YZ Ramirez-Cabral

...

2023/8/4

Evaluation of Landsat 8 and Sentinel‑2 vegetation indices to predict soil organic carbon using machine learning models

Modeling Earth Systems and Environment

Parya Abbaszad

Farrokh Asadzadeh

Salar Rezapour

Kamal Aqdam

Farzin Shabani

2023

An examination of how climate change could affect the future spread of Fusarium spp. around the world, using correlative models to model the changes

Environmental Technology & Innovation

Muhammad Riaz Ejaz

Samir Jaoua

Mohsen Ahmadi

Farzin Shabani

2023/8/1

Which Plant Where: a plant selection tool for changing urban climates

Arboriculture & Urban Forestry (AUF)

Samiya Tabassum

Linda J Beaumont

Farzin Shabani

Leigh Staas

Gwilym Griffiths

...

2023/7/1

Predicting predator-prey interactions in terrestrial endotherms using random forest

Ecography

John Llewelyn

Giovanni Strona

Christopher R Dickman

Aaron C Greenville

Glenda M Wardle

...

2023/7/10

Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence

Geomatics, Natural Hazards and Risk

Vahideh Saeidi

Seyd Teymoor Seydi

Bahareh Kalantar

Naonori Ueda

Bahman Tajfirooz

...

2023/12/31

Response of termite mounds to changes of geomorphic forms and processes and associated edaphic variations

Catena

Seyed Reza Hosseinzadeh

Neda Mohseni

Gao-Lin Wu

2023/5/15

A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment

Mahyat Shafapourtehrany

Maryna Batur

Farzin Shabani

Biswajeet Pradhan

Bahareh Kalantar

...

2023/4/5

Habitat in flames: How climate change will affect fire risk across koala forests

Environmental Technology & Innovation

Farzin Shabani

Mahyat Shafapourtehrany

Mohsen Ahmadi

Bahareh Kalantar

Haluk Özener

...

2023/11/1

Evaluating the application of K-mean clustering in Earthquake vulnerability mapping of Istanbul, Turkey

International Journal of Disaster Risk Reduction

Mahyat Shafapourtehrany

Peyman Yariyan

Haluk Özener

Biswajeet Pradhan

Farzin Shabani

2022/9/1

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

Bahareh Kalantar

Seyd Teymoor Seydi

Naonori Ueda

Vahideh Saeidi

Alfian Abdul Halin

...

2022/7/17

Global risks of Bedellia somnulentella (Lepidoptera: Bedelliidae) invasion: a modeling exercise using a mechanistic model, CLIMEX

Theoretical and Applied Climatology

Marinalva Martins Dos Santos

Ricardo Siqueira Da Silva

Marcus Alvarenga Soares

Érika Manuela Gonçalves Lopes

Farzin Shabani

2022/7

Modelling climate suitability for Striga asiatica, a potential invasive weed of cereal crops

Crop Protection

Fausto Henrique Vieira Araújo

Alexandre Ferreira da Silva

Rodrigo Soares Ramos

Sabrina Rodrigues Ferreira

Jose Barbosa dos Santos

...

2022/10/1

Application of an ensemble statistical approach in spatial predictions of bushfire probability and risk mapping

Sensors

M Tehrany

H Özener

B Kalantar

N Ueda

M Habibi

...

2021

Deep neural network utilizing remote sensing datasets for flood hazard susceptibility mapping in Brisbane, Australia

Remote Sensing

Bahareh Kalantar

Naonori Ueda

Vahideh Saeidi

Saeid Janizadeh

Fariborz Shabani

...

2021/7/5

Research Article 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

...

2021

See List of Professors in Farzin Shabani University(Flinders University)