Position Type: Faculty member
Faculty: Forest Scineces
Department: Forestry
University: Gorgān University of Agricultural Sciences & Natural Resources
Office Location: Basij Square, 386 Gorgān, Iran
Phone: +98 (017) 324 271 73 # 224
E-mail:Mohamadi.jahangir@gau.ac.ir

EDUCATION:
Ph.D, 2014. Forest biometry & remote sensing, Gorgān University of Agricultural Sciences & Natural Resources, Iran
MS, 2009. Forest biometry & Remote sensing, Gorgān University of Agricultural Sciences & Natural Resources, Iran
BS, 2004. Forestry, Gorgān University of Agricultural Sciences & Natural Resources, Iran

RESEARCH AREAS:
Forest biometry, sampling, remote sensing, LiDAR, unmanned aerial vehicle (UAV), satellite data, modelling of forest structure quantitative characteristics (above-ground biomass, stand volume, basal area, tree diversity indices, tree density, LAI etc.), regression, machine learning & deep learning 

RESEARCH INTERESTS:

Forest measurements
Forest biometry
Forest sampling
LiDAR and UAV in forest modeling 
Modeling of forest quantitative characteristics
Application of machine-learning and deep-learning algorithms in spatial statistics

ADVISING

- Zahr Mousavi (Ph.D)
- Yaser Mohammadi (Ph.D)
- Davood Moghadasi (Ph.D)
-Fatemeh Falahnezhad (Ph.D)

GRADUATED:

- Hesan ali (Ph.D)
- Neda Masoudi (MS)
- Parvaneh Ghaderi (MS)
- Reza Ormaz (MS)

SELECTED PUBLICATIONS:

McRoberts, R.E., Næsset, E., Heikkinen, J., Chen, Q., Strimbu, V., Esteban, J., Hou, Z., Giannetti, F., Mohammadi, J. and Chirici, G., (2022). On the model-assisted regression estimators using remotely sensed auxiliary data. Remote Sensing of Environment, 281, p.113168.
Mohammadi, J. and Masoudi, N., (2022). Estimation beech (Fagus Orientalis L) and hornbeam (Carpinus betulus L) trees height using nonlinear models and mixed-effects model. Forest and Wood Products, 74(4), pp.433-443.
Mohammadi, J., Shataee, S. and Næsset, E., (2020). Modeling tree species diversity by combining ALS data and digital aerial photogrammetry. Science of Remote Sensing, 2, p.100011.
Zahriban Hesari, M., Shataee, S., Maghsoudi, Y., Mohammadi, J., Fransson, J.E. and Persson, H.J., (2020). Forest Variable Estimations Using TanDEM-X Data in Hyrcanian Forests. Canadian Journal of Remote Sensing, 46(2), pp.166-176.
Poorazimy, M., Shataee, S., McRoberts, R.E. and Mohammadi, J., (2020). Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran. Remote Sensing of Environment, 240, p.111669.
Mousavi, J. Mohammadi and Sh. Shataee, 2019, Estimation of some quantitative characteristics of individual tree using airborne laser scanning data in part of Shast-Kalate forests of Gorgan, Journal of Wood & Forest Science and Technology, Vol. 26 (1), 1-19, DOI: 10.22069/jwfst.2019.15422.1762.