Hossein Shafizadeh-Moghadam

According to our database, Hossein Shafizadeh-Moghadam authored at least 15 papers between 2015 and 2022.

Collaborative distances:

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

2022

Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates.

Reza Mirzaeitalarposhti, Hossein Shafizadeh-Moghadam, Ruhollah Taghizadeh-Mehrjardi, Michael Scott Demyan

Remote. Sens., December, 2022

On the spatiotemporal generalization of machine learning and ensemble models for simulating built-up land expansion.

Hossein Shafizadeh-Moghadam, Roozbeh Valavi, Ali Asghari, Masoud Minaei, Yuji Murayama

Trans. GIS, 2022

An efficient built-up land expansion model using a modified U-Net.

Hanieh Shojaei, Saeed Nadi, Hossein Shafizadeh-Moghadam, Amin Tayyebi, John L. van Genderen

Int. J. Digit. Earth, 2022

Field-scale estimation of sugarcane leaf nitrogen content using vegetation indices and spectral bands of Sentinel-2: Application of random forest and support vector regression.

Maryam Soltanikazemi, Saeid Minaei, Hossein Shafizadeh-Moghadam, Alireza Mahdavian

Comput. Electron. Agric., 2022

2021

Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran.

Hossein Shafizadeh-Moghadam, Masoud Minaei, Robert Gilmore Pontius Jr., Ali Asghari, Hashem Dadashpoor

Comput. Environ. Urban Syst., 2021

Fully component selection: An efficient combination of feature selection and principal component analysis to increase model performance.

Hossein Shafizadeh-Moghadam

Expert Syst. Appl., 2021

2019

Improving spatial accuracy of urban growth simulation models using ensemble forecasting approaches.

Hossein Shafizadeh-Moghadam

Comput. Environ. Urban Syst., 2019

How much can temporally stationary factors explain cellular automata-based simulations of past and future urban growth?

Yongjiu Feng, Rong Wang, Xiaohua Tong, Hossein Shafizadeh-Moghadam

Comput. Environ. Urban Syst., 2019

Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran.

Hossein Shafizadeh-Moghadam, Masoud Minaei, Himan Shahabi, Julian Hagenauer

Earth Sci. Informatics, 2019

GlobeLand30 maps show four times larger gross than net land change from 2000 to 2010 in Asia.

Hossein Shafizadeh-Moghadam, Masoud Minaei, Yongjiu Feng, Robert Gilmore Pontius Jr.

Int. J. Appl. Earth Obs. Geoinformation, 2019

2017

Integration of genetic algorithm and multiple kernel support vector regression for modeling urban growth.

Hossein Shafizadeh-Moghadam, Amin Tayyebi, Mohammad Ahmadlou, Mahmoud Reza Delavar, Mahdi Hasanlou

Comput. Environ. Urban Syst., 2017

Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth.

Hossein Shafizadeh-Moghadam, Ali Asghari, Amin Tayyebi, Mohammad Taleai

Comput. Environ. Urban Syst., 2017

2016

FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps.

Amin Tayyebi, Amir Hossein Tayyebi, Jamal Jokar Arsanjani, Hossein Shafizadeh-Moghadam, Hichem Omrani

Environ. Model. Softw., 2016

2015

Performance analysis of radial basis function networks and multi-layer perceptron networks in modeling urban change: a case study.

Hossein Shafizadeh-Moghadam, Julian Hagenauer, Manuchehr Farajzadeh, Marco Helbich

Int. J. Geogr. Inf. Sci., 2015

Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai.

Hossein Shafizadeh-Moghadam, Marco Helbich

Int. J. Appl. Earth Obs. Geoinformation, 2015