Hossein Shafizadeh-Moghadam

发表

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.

H. Shahabi, A. Shirzadi, Hossein Shafizadeh-Moghadam, 2018, Journal of environmental management.

USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND ARTIFICIAL NEURAL NETWORK TO SIMULATE URBANIZATION IN MUMBAI, INDIA

Hossein Shafizadeh-Moghadam, M. Ahmadlou, M. Delavar, 2015 .

Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran

Hossein Shafizadeh-Moghadam, A. Tayyebi, A. Tayyebi, 2018 .

Modelling climate change effects on Zagros forests in Iran using individual and ensemble forecasting approaches

Hossein Shafizadeh-Moghadam, R. Valavi, A. Matkan, 2018, Theoretical and Applied Climatology.

A neural network and landscape metrics to propose a flexible urban growth boundary: A case study

Dipendra Nath Das, Hossein Shafizadeh-Moghadam, Yongjiu Feng, 2018, Ecological Indicators.

Sensitivity analysis and accuracy assessment of the land transformation model using cellular automata

Hossein Shafizadeh-Moghadam, A. Tayyebi, M. Helbich, 2017 .

Spatiotemporal nexus between the pattern of land degradation and land cover dynamics in Iran

Hossein Shafizadeh-Moghadam, A. Tayyebi, M. Minaei, 2018, Land Degradation & Development.

Future urban rainfall projections considering the impacts of climate change and urbanization with statistical–dynamical integrated approach

S. Karmakar, Subimal Ghosh, Hossein Shafizadeh-Moghadam, 2018, Climate Dynamics.

A probabilistic space-time prism to explore changes in white Stork habitat use in Iran

Hossein Shafizadeh-Moghadam, R. Valavi, A. Matkan, 2017 .

Multiple-depth modeling of soil organic carbon using visible–near infrared spectroscopy

Hossein Shafizadeh-Moghadam, M. K. Eghbal, A. Noroozi, 2020, Geocarto International.

Modeling the spatial variation of urban land surface temperature in relation to environmental and anthropogenic factors: a case study of Tehran, Iran

Hua Liu, Qihao Weng, Hossein Shafizadeh-Moghadam, 2020 .

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

S. Minaei, Hossein Shafizadeh-Moghadam, A. Mahdavian, 2022, Comput. Electron. Agric..

Influence of drought duration and severity on drought recovery period for different land cover types: evaluation using MODIS-based indices

Hossein Shafizadeh-Moghadam, M. Minaei, Tingting Xu, 2022, Ecological Indicators.

MODIS-based evaluation of agricultural drought, water use efficiency and post-drought in Iran; considering the influence of heterogeneous climatic regions

Hossein Shafizadeh-Moghadam, M. Kouchakzadeh, Amin Fathi-Taperasht, 2022, Journal of Cleaner Production.

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

Hossein Shafizadeh-Moghadam, R. Taghizadeh‐Mehrjardi, M. S. Demyan, 2022, Remote. Sens..

Google Earth Engine for large-scale land use and land cover mapping: an object-based classification approach using spectral, textural and topographical factors

Qihao Weng, Hossein Shafizadeh-Moghadam, S. K. Alavipanah, 2021, GIScience & Remote Sensing.

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

Yongjiu Feng, Hossein Shafizadeh-Moghadam, Robert Gilmore Pontius, 2019, Int. J. Appl. Earth Obs. Geoinformation.

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, Robert Gilmore Pontius, Masoud Minaei, 2021, Comput. Environ. Urban Syst..

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

Hossein Shafizadeh-Moghadam, Mohammad Taleai, Amin Tayyebi, 2017, Comput. Environ. Urban Syst..

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

Hichem Omrani, Hossein Shafizadeh-Moghadam, Jamal Jokar Arsanjani, 2016, Environ. Model. Softw..

Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon

Hossein Shafizadeh-Moghadam, M. Homaee, Tingting Xu, 2022, CATENA.

Exploring the driving forces and digital mapping of soil organic carbon using remote sensing and soil texture

Hossein Shafizadeh-Moghadam, Roozbeh Valavi, Nikou Hamzehpour, 2019, CATENA.

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

Hossein Shafizadeh-Moghadam, Julian Hagenauer, Marco Helbich, 2015, Int. J. Geogr. Inf. Sci..

Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

Quoc Bao Pham, Romulus Costache, Hossein Shafizadeh-Moghadam, 2021, Geocarto International.

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

Hossein Shafizadeh-Moghadam, Hossein Shafizadeh-Moghadam, 2019, Comput. Environ. Urban Syst..

Drought-induced vulnerability and resilience of different land use types using time series of MODIS-based indices

Hossein Shafizadeh-Moghadam, M. Nikoo, Tingting Xu, 2023, International Journal of Disaster Risk Reduction.

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

J. Genderen, Hossein Shafizadeh-Moghadam, A. Tayyebi, 2022, Int. J. Digit. Earth.

A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data

Hossein Shafizadeh-Moghadam, Shima Amani, 2023, Agricultural Water Management.

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

Hossein Shafizadeh-Moghadam, Hossein Shafizadeh-Moghadam, 2021, Expert Syst. Appl..

Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation

Hossein Shafizadeh-Moghadam, Marco Helbich, Amin Tayyebi, 2017, Environmental Monitoring and Assessment.

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

Hossein Shafizadeh-Moghadam, Julian Hagenauer, Himan Shahabi, 2018, Earth Science Informatics.

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

Xiaohua Tong, Yongjiu Feng, Hossein Shafizadeh-Moghadam, 2019, Comput. Environ. Urban Syst..

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

Hossein Shafizadeh-Moghadam, Y. Murayama, M. Minaei, 2021, Trans. GIS.

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

Hossein Shafizadeh-Moghadam, Marco Helbich, Hossein Shafizadeh-Moghadam, 2015, Int. J. Appl. Earth Obs. Geoinformation.

Spatiotemporal Characterization and Analysis of River Morphology Using Long-Term Landsat Imagery and Stream Power

S. Ayyoubzadeh, Hossein Shafizadeh-Moghadam, H. Mianabadi, 2022, Water.

Rural electrification in protected areas: A spatial assessment of solar photovoltaic suitability using the fuzzy best worst method

Hossein Shafizadeh-Moghadam, I. Kougias, M. Minaei, 2021 .

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

Mahdi Hasanlou, Mahmoud Reza Delavar, Hossein Shafizadeh-Moghadam, 2017, Comput. Environ. Urban Syst..

Urban expansion simulation and scenario prediction using cellular automata: comparison between individual and multiple influencing factors

Xiaohua Tong, Zhenkun Lei, Yongjiu Feng, 2019, Environmental Monitoring and Assessment.

MODELING URBAN DYNAMICS USING RANDOM FOREST: IMPLEMENTING ROC AND TOC FOR MODEL EVALUATION

Hossein Shafizadeh-Moghadam, Mohammad Ahmadlou, Amin Tayyebi, 2016 .