Ahmadi, Mohsen ; Hemami, Mahmoud-Reza ; Kaboli, Mohammad.
https://zenodo.org/communities/dryad.  , 2023

Shabani, Farzin ; Shafapourtehrany, Mahyat ; Ahmadi, Mohsen...
Shabani , F , Shafapourtehrany , M , Ahmadi , M , Kalantar , B , Özener , H , Clancy , K , Esmaeili , A , da Silva , R S , Beaumont , L J , Llewelyn , J , Jones , S & Ossola , A 2023 , ' Habitat in flames : How climate change will affect fire risk across koala forests ' , Environmental Technology and Innovation , vol. 32 , 103331 , pp. 1-12 . https://doi.org/10.1016/j.eti.2023.103331.  , 2023

Ahmadi, Mohsen ; Hemami, Mahmoud‐Reza ; Kaboli, Mohammad.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937880/.  , 2023

LLEWELYN John ; STRONA Giovanni ; DICKMAN Christopher...
JRC134113.  , 2023

Borges, Cláudia Eduarda ; Von dos Santos Veloso, Ronnie ; da Conceição, Crislaine Alves...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10403512/.  , 2023

Tabassum, Samiya ; Beaumont, Linda J ; Shabani, Farzin...
Tabassum , S , Beaumont , L J , Shabani , F , Staas , L , Griffiths , G , Ossola , A & Leishman , M R 2023 , ' Which plant where : a plant selection tool for changing Urban climates ' , Arboriculture and Urban Forestry , vol. 49 , no. 4 , pp. 190-209 . https://doi.org/10.48044/jauf.2023.014.  , 2023

Tehrany, Mahyat Shafapour ; Özener, Haluk ; Kalantar, Bahareh...
Tehrany , M S , Özener , H , Kalantar , B , Ueda , N , Habibi , M R , Shabani , F , Saeidi , V & Shabani , F 2021 , ' Application of an ensemble statistical approach in spatial predictions of bushfire probability and risk mapping ' , Journal of Sensors , vol. 2021 , 6638241 , pp. 1-31 . https://doi.org/10.1155/2021/6638241.  , 2021

Kalantar, Bahareh ; Ueda, Naonori ; Saeidi, Vahideh...
Kalantar , B , Ueda , N , Saeidi , V , Janizadeh , S , Shabani , F , Ahmadi , K & Shabani , F 2021 , ' Deep neural network utilizing remote sensing datasets for flood hazard susceptibility mapping in Brisbane, Australia ' , Remote Sensing , vol. 13 , no. 13 , 2638 , pp. 1-23 . https://doi.org/10.3390/rs13132638.  , 2021

Kalantar, Bahareh ; Ueda, Naonori ; Idrees, Mohammed O...
Kalantar , B , Ueda , N , Idrees , M O , Janizadeh , S , Ahmadi , K & Shabani , F 2020 , ' Forest fire susceptibility prediction based on machine learning models with resampling algorithms on remote sensing data ' , Remote Sensing , vol. 12 , no. 22 , 3682 , pp. 1-24 . https://doi.org/10.3390/rs12223682.  , 2020

Tshering, Kinley ; Thinley, Phuntsho ; School of Environmental and Rural Science...
10.3390/forecast2020003.  , 2020

Tshering, Kinley ; Thinley, Phuntsho ; Tehrany, Mahyat Shafapour..
Tshering , K , Thinley , P , Tehrany , M S , Thinley , U & Shabani , F 2020 , ' A comparison of the qualitative analytic hierarchy process and the quantitative frequency ratio techniques in predicting forest fire-prone areas in Bhutan using GIS ' , Forecasting , vol. 2 , no. 2 , pp. 36-58 . https://doi.org/10.3390/forecast2020003.  , 2020

Shafapour Tehrany, Mahyat ; Kumar, Lalit ; Shabani, Farzin
Shafapour Tehrany , M , Kumar , L & Shabani , F 2019 , ' A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia ' , PeerJ , no. 7 , e7653 , pp. 1-32 . https://doi.org/10.7717/peerj.7653.  , 2019

Tehrany, Mahyat Shafapour ; Jones, Simon ; Shabani, Farzin..
Tehrany , M S , Jones , S , Shabani , F , Martínez-Álvarez , F & Tien Bui , D 2019 , ' A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data ' , Theoretical and Applied Climatology , vol. 137 , no. 1-2 , pp. 637-653 . https://doi.org/10.1007/s00704-018-2628-9.  , 2019

Tehrany, Mahyat Shafapour ; Kumar, Lalit ; School of Environmental and Rural Science...
10.1080/19475705.2018.1506509.  , 2019

Shabani, Farzin ; Ahmadi, Mohsen ; Peters, Katharina J...
doi:10.5061/dryad.r79k7sc.  , 2019