H
Hossein Shafizadeh-Moghadam
Researcher at Tarbiat Modares University
Publications - 40
Citations - 1211
Hossein Shafizadeh-Moghadam is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Computer science & Environmental science. The author has an hindex of 16, co-authored 30 publications receiving 686 citations. Previous affiliations of Hossein Shafizadeh-Moghadam include Heidelberg University.
Papers
More filters
Journal ArticleDOI
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.
TL;DR: To reduce uncertainty, creating more generalizable, more stable, and less sensitive models, ensemble forecasting approaches and in particular the EMmedian is recommended for flood susceptibility assessment.
Journal ArticleDOI
Spatiotemporal variability of urban growth factors: A global and local perspective on the megacity of Mumbai
TL;DR: It is concluded that geographically weighted logistic regression model aids the understanding of urban growth processes, and so can assist context-related planning and policymaking activities when seeking to secure a sustainable urban future.
Journal ArticleDOI
Coupling machine learning, tree-based and statistical models with cellular automata to simulate urban growth
TL;DR: Six land use change models, including artificial neural networks (ANNs), support vector regression (SVR), random forest (RF), classification and regression trees (CART), logistic regression (LR), and multivariate adaptive regression splines (MARS) are compared to simulate urban growth in the megacity of Tehran Metropolitan Area.
Journal ArticleDOI
A neural network and landscape metrics to propose a flexible urban growth boundary: A case study
Suman Chakraborti,Dipendra Nath Das,Biswajit Mondal,Hossein Shafizadeh-Moghadam,Yongjiu Feng +4 more
TL;DR: In this article, an Artificial Neural Network (ANN) model and a set of landscape metrics were used to delineate the Urban Growth Boundary (UGB) and characterize the future patterns of growth in Siliguri Municipal Corporation (SMC, India).
Journal ArticleDOI
Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran
TL;DR: In this article, a series of six Landsat TM images of Tehran in 1986, 1991, 1994, 2001, 2008, and 2011 were classified into four land cover classes (built-up, crop, open space, and green lands).