Search Results - "Pourghasemi, Hamid Reza"

Prediction of the landslide susceptibility: Which algorithm, which precision? by Pourghasemi, Hamid Reza, Rahmati, Omid

“…Coupling machine learning algorithms with spatial analytical techniques for landslide susceptibility modeling is a worth considering issue. So, the current…”
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Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran by Rahmati, Omid, Pourghasemi, Hamid Reza, Melesse, Assefa M.

“…Groundwater is considered as the most important natural resources in arid and semi-arid regions. In this study, the application of random forest (RF) and…”
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Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling by Pourghasemi, Hamid Reza, Yousefi, Saleh, Kornejady, Aiding, Cerdà, Artemi

“…Gully erosion is identified as an important sediment source in a range of environments and plays a conclusive role in redistribution of eroded soils on a…”
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Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models by Hong, Haoyuan, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat

“…Landslides are an important natural hazard that causes a great amount of damage around the world every year, especially during the rainy season. The Lianhua…”
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Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran by Pourghasemi, Hamid Reza, Pradhan, Biswajeet, Gokceoglu, Candan

“…The main goal of this study is to produce landslide susceptibility maps of a landslide-prone area (Haraz) in Iran by using both fuzzy logic and analytical…”
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Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms by Gayen, Amiya, Pourghasemi, Hamid Reza, Saha, Sunil, Keesstra, Saskia, Bai, Shibiao

“…Gully erosion is one of the most effective drivers of sediment removal and runoff from highland areas to valley floors and stable channels, where continued…”
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Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon’s entropy, statistical index, and weighting factor models by Khosravi, Khabat, Pourghasemi, Hamid Reza, Chapi, Kamran, Bahri, Masoumeh

“…Flooding is a very common worldwide natural hazard causing large-scale casualties every year; Iran is not immune to this thread as well. Comprehensive flood…”
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Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion by Rahmati, Omid, Tahmasebipour, Nasser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Feizizadeh, Bakhtiar

“…Gully erosion constitutes a serious problem for land degradation in a wide range of environments. The main objective of this research was to compare the…”
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Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques by Pourtaghi, Zohre Sadat, Pourghasemi, Hamid Reza, Aretano, Roberta, Semeraro, Teodoro

“…•To identify and evaluate the importance of the general indicators involved.•To develop a model capable of predicting forest fire location using BRT, GAM, and…”
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Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran by Pourghasemi, Hamid Reza, Mohammady, Majid, Pradhan, Biswajeet

“…Landslide susceptibility mapping is essential for land use planning and decision-making especially in the mountainous areas. The main objective of this study…”
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A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping by Chen, Wei, Pourghasemi, Hamid Reza, Zhao, Zhou

“…The main aim of present study is to compare three GIS-based models, namely Dempster-Shafer (DS), logistic regression (LR) and artificial neural network (ANN)…”
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Assessing and mapping multi-hazard risk susceptibility using a machine learning technique by Pourghasemi, Hamid Reza, Kariminejad, Narges, Amiri, Mahdis, Edalat, Mohsen, Zarafshar, Mehrdad, Blaschke, Thomas, Cerda, Artemio

“…The aim of the current study was to suggest a multi-hazard probability assessment in Fars Province, Shiraz City, and its four strategic watersheds. At first,…”
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Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods by Pham, Binh Thai, Tien Bui, Dieu, Pourghasemi, Hamid Reza, Indra, Prakash, Dholakia, M. B.

“…The objective of this study is to make a comparison of the prediction performance of three techniques, Functional Trees (FT), Multilayer Perceptron Neural…”
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Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping by Garosi, Younes, Sheklabadi, Mohsen, Pourghasemi, Hamid Reza, Besalatpour, Ali Asghar, Conoscenti, Christian, Van Oost, Kristof

“…Gully erosion has been identified as an important soil degradation process and sediment source, especially in arid and semiarid areas. Thus, it is useful to…”
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Fractal Analysis of Rainfall-Induced Landslide and Debris Flow Spread Distribution in the Chenyulan Creek Basin, Taiwan by Yang, Zon-Yee, Pourghasemi, Hamid Reza, Lee, Yen-Hung

“…The Chenyulan Stream in Central Taiwan follows the Chenyulan fault line which is a major boundary fault in Taiwan. In recent years, many destructive landslides…”
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Evaluation of multi-hazard map produced using MaxEnt machine learning technique by Javidan, Narges, Kavian, Ataollah, Pourghasemi, Hamid Reza, Conoscenti, Christian, Jafarian, Zeinab, Rodrigo-Comino, Jesús

“…Natural hazards are diverse and uneven in time and space, therefore, understanding its complexity is key to save human lives and conserve natural ecosystems…”
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Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia’s Tara National Park by Ljubomir Gigović, Hamid Reza Pourghasemi, Siniša Drobnjak, Shibiao Bai

“…The main objectives of this paper are to demonstrate the results of an ensemble learning method based on prediction results of support vector machine and…”
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Analytical techniques for mapping multi-hazard with geo-environmental modeling approaches and UAV images by Kariminejad, Narges, Pourghasemi, Hamid Reza, Hosseinalizadeh, Mohsen

“…The quantitative spatial analysis is a strong tool for the study of natural hazards and their interactions. Over the last decades, a range of techniques have…”
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Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms by Zare, Mohammad, Pourghasemi, Hamid Reza, Vafakhah, Mahdi, Pradhan, Biswajeet

“…Landslide susceptibility and hazard assessments are the most important steps in landslide risk mapping. The main objective of this study was to investigate and…”
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Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models by Hosseinalizadeh, Mohsen, Kariminejad, Narges, Chen, Wei, Pourghasemi, Hamid Reza, Alinejad, Mohammad, Mohammadian Behbahani, Ali, Tiefenbacher, John P.

“…Gully headcuts are due to erosion generated by concentrated overland flow, non-uniform infiltration, the presence of impermeable sub-surface soil layers, and a…”
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