Hossein Shafizadeh
Hossein Shafizadeh
Assistant Prof. Remote Sensing & GIS
Verified email at modares.ac.ir
Cited by
Cited by
Spatiotemporal urbanization processes in the megacity of Mumbai, India: A Markov chains-cellular automata urban growth model
HS Moghadam, M Helbich
Applied Geography 40, 140-149, 2013
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
H Shafizadeh-Moghadam, R Valavi, H Shahabi, K Chapi, A Shirzadi
Journal of environmental management 217, 1-11, 2018
Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai
H Shafizadeh-Moghadam, M Helbich
International Journal of Applied Earth Observation and Geoinformation 35 …, 2015
Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth
H Shafizadeh-Moghadam, A Asghari, A Tayyebi, M Taleai
Computers, Environment and Urban Systems 64, 297-308, 2017
Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata
H Shafizadeh-Moghadam, A Asghari, M Taleai, M Helbich, A Tayyebi
GIScience & Remote Sensing 54 (5), 639-656, 2017
Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study
H Shafizadeh-Moghadam, J Hagenauer, M Farajzadeh, M Helbich
International Journal of Geographical Information Science 29 (4), 606-623, 2015
Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran
A Tayyebi, H Shafizadeh-Moghadam, AH Tayyebi
Land Use Policy 71, 459-469, 2018
Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth
H Shafizadeh-Moghadam, A Tayyebi, M Ahmadlou, MR Delavar, ...
Computers, Environment and Urban Systems 65, 28-40, 2017
FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps
A Tayyebi, AH Tayyebi, JJ Arsanjani, HS Moghadam, H Omrani
Environmental Modelling & Software 84, 70-84, 2016
Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran
H Shafizadeh-Moghadam, M Minaei, H Shahabi, J Hagenauer
Earth Science Informatics, 1-17, 2019
A neural network and landscape metrics to propose a flexible urban growth boundary: A case study
S Chakraborti, DN Das, B Mondal, H Shafizadeh-Moghadam, Y Feng
Ecological indicators 93, 952-965, 2018
Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation
H Shafizadeh-Moghadam, A Tayyebi, M Helbich
Environmental monitoring and assessment 189 (6), 1-14, 2017
Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran
M Minaei, H Shafizadeh‐Moghadam, A Tayyebi
Land Degradation & Development 29 (9), 2854-2863, 2018
GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia
H Shafizadeh-Moghadam, M Minaei, Y Feng, RG Pontius Jr
International Journal of Applied Earth Observation and Geoinformation 78 …, 2019
Improving spatial accuracy of urban growth simulation models using ensemble forecasting approaches
H Shafizadeh-Moghadam
Computers, Environment and Urban Systems 76, 91-100, 2019
Using multivariate adaptive regression spline and artificial neural network to simulate urbanization in Mumbai, India
M Ahmadlou, MR Delavar, A Tayyebi, H Shafizadeh-Moghadam
The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2015
Group-based crop change planning: Application of SmartScape™ spatial decision support system for resolving conflicts
A Tayyebi, JJ Arsanjani, AH Tayyebi, H Omrani, HS Moghadam
Ecological modelling 333, 92-100, 2016
Exploring the driving forces and digital mapping of soil organic carbon using remote sensing and soil texture
N Hamzehpour, H Shafizadeh-Moghadam, R Valavi
Catena 182, 104141, 2019
How much can temporally stationary factors explain cellular automata-based simulations of past and future urban growth?
Y Feng, R Wang, X Tong, H Shafizadeh-Moghadam
Computers, Environment and Urban Systems 76, 150-162, 2019
Modelling climate change effects on Zagros forests in Iran using individual and ensemble forecasting approaches
R Valavi, H Shafizadeh-Moghadam, AA Matkan, A Shakiba, B Mirbagheri, ...
Theoretical and Applied Climatology 137 (1-2), 1015-1025, 2019
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