Hamid Reza Pourghasemi

发表

Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh

Mahfuzur Rahman, Ningsheng Chen, Monirul Islam, 2021 .

A machine learning framework for multi-hazards modeling and mapping in a mountainous area

Hamid Reza Pourghasemi, Saleh Yousefi, Sayed Naeim Emami, 2020, Scientific Reports.

Accuracy assessment of land cover/land use classifiers in dry and humid areas of Iran

Hamid Reza Pourghasemi, Giorgos Mountrakis, Saleh Yousefi, 2015, Environmental Monitoring and Assessment.

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

Hamid Reza Pourghasemi, Filippo Catani, Ying Cao, 2018, Comput. Geosci..

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study

Hamid Reza Pourghasemi, Thomas Blaschke, Biswajeet Pradhan, 2020, Sensors.

Soil Science Challenges in a New Era: A Transdisciplinary Overview of Relevant Topics

Hamid Reza Pourghasemi, Manuel Pulido, Luca Salvati, 2020, Air, Soil and Water Research.

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

Hamid Reza Pourghasemi, Saro Lee, Khabat Khosravi, 2019, Applied Sciences.

Landslide Hazard Zoning Using Bayesian Theory

Hamid Reza Pourghasemi, R. Mostafazadeh, Hamid Reza Moradi, 2013 .

Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

Hamid Reza Pourghasemi, Ashkan Rezaei, Seyed Amir Naghibi, 2015, Earth Science Informatics.

A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping

Hamid Reza Pourghasemi, Biswajeet Pradhan, Masood Beheshtirad, 2016 .

GIS-Based SWARA and Its Ensemble by RBF and ICA Data-Mining Techniques for Determining Suitability of Existing Schools and Site Selection of New School Buildings

Hamid Reza Pourghasemi, Mohammad Yekrangnia, Fatemeh Rezaie, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

Hamid Reza Pourghasemi, Yacine Achour, H. Pourghasemi, 2020 .

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model

Hamid Reza Pourghasemi, Biswajeet Pradhan, Saro Lee, 2019, Remote. Sens..

Spatial Modelling of Gully Erosion Using GIS and R Programing: A Comparison among Three Data Mining Algorithms

Hamid Reza Pourghasemi, Norman Kerle, Biswajeet Pradhan, 2018, Applied Sciences.

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

Hamid Reza Pourghasemi, Thomas Blaschke, Mohammad Zare, 2019, Water.

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches.

Sandeep Kumar, Hamid Reza Pourghasemi, Dieu Tien Bui, 2019, The Science of the total environment.

Prediction of drainage morphometry using a genetic landscape evolution algorithm

Hamid Reza Pourghasemi, John P. Tiefenbacher, Marzieh Mokarram, 2020, Geocarto International.

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

Hamid Reza Pourghasemi, Omid Rahmati, Najmeh Samani Neisani, 2015, Earth Science Informatics.

Optimizing collapsed pipes mapping: Effects of DEM spatial resolution

Hamid Reza Pourghasemi, Mauro Rossi, John P. Tiefenbacher, 2020 .

Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

Hamid Reza Pourghasemi, Wei Chen, Mahdi Panahi, 2017 .

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

Hamid Reza Pourghasemi, Zhuo Chen, Danqing Song, 2021, Environmental Earth Sciences.

Identification of land subsidence prone areas and their mapping using machine learning algorithms

Hamid Reza Pourghasemi, Seyed Rashid Fallah Shamsi, Zeynab Najafi, 2022, Computers in Earth and Environmental Sciences.

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Hamid Reza Pourghasemi, Shi Qi, Zizheng Guo, 2021, Remote. Sens..

Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine

Hamid Reza Pourghasemi, Mahdi Panahi, Saro Lee, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Spatial Prediction of Groundwater Potentiality Mapping Using Machine Learning Algorithms

Hamid Reza Pourghasemi, Sunil Saha, M. Santosh, 2021 .

Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation

Hamid Reza Pourghasemi, Mahdi Farnaghi, Seyed Mohsen Hosseini, 2021 .

Pest-infected oak trees identify using remote sensing-based classification algorithms

Hamid Reza Pourghasemi, Saleh Yousefi, Farshad Haghighian, 2022, Computers in Earth and Environmental Sciences.

Geohazards Susceptibility Assessment along the Upper Indus Basin Using Four Machine Learning and Statistical Models

Ashraf Dewan, Hamid Reza Pourghasemi, Chen Ningsheng, 2021, ISPRS Int. J. Geo Inf..

A comparative study between dynamic and soft computing models for sediment forecasting

Hamid Reza Pourghasemi, Sarita Gajbhiye Meshram, Chandrashekhar Meshram, 2021, Soft Computing.

Comparison of statistical and machine learning approaches in land subsidence modelling

Hamid Reza Pourghasemi, John J. Clague, Elham Rafiei Sardooi, 2021, Geocarto International.

Development of flood hazard map and emergency relief operation system using hydrodynamic modeling and machine learning algorithm

Ashraf Dewan, Hamid Reza Pourghasemi, Ningsheng Chen, 2021 .

A comparative assessment of gully erosion spatial predictive modeling using statistical and machine learning models

Hamid Reza Pourghasemi, Seyed Masoud Soleimanpour, maryam zare, 2021 .

Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia

Hamid Reza Pourghasemi, Ahmed Mohamed Youssef, H. Pourghasemi, 2021, Geoscience Frontiers.

Application of machine learning algorithms in hydrology

Hamid Reza Pourghasemi, Mojtaba Sadeghi, Mojtaba Naghdyzadegan Jahromi, 2022, Computers in Earth and Environmental Sciences.

Predicting areas affected by forest fire based on a machine learning algorithm

Hamid Reza Pourghasemi, Mahdis Amiri, 2022, Computers in Earth and Environmental Sciences.

Wildland Fire Susceptibility Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Whale Optimization Algorithm and Simulated Annealing

Hamid Reza Pourghasemi, Biswajeet Pradhan, Rida Al-Adamat, 2021, ISPRS Int. J. Geo Inf..

Using machine learning techniques in multi-hazards assessment of Golestan National Park, Iran

Hamid Reza Pourghasemi, Mahdi Farnaghi, Seyed Mohsen Hosseini, 2021, Natural Hazards.

Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping

Hamid Reza Pourghasemi, Mohsen Sheklabadi, Christian Conoscenti, 2018, Geoderma.

Assessment of land subsidence susceptibility in Semnan plain (Iran): a comparison of support vector machine and weights of evidence data mining algorithms

Hamid Reza Pourghasemi, Majid Mohammady, H. Pourghasemi, 2019, Natural Hazards.

Artificial Neural Networks for Flood Susceptibility Mapping in Data-Scarce Urban Areas

Hamid Reza Pourghasemi, Omid Rahmati, Ebrahim Ahmadisharaf, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

GIS-Based Landslide Susceptibility Evaluation Using Certainty Factor and Index of Entropy Ensembled with Alternating Decision Tree Models

Wei Chen, Hamid Reza Pourghasemi, Aiding Kornejady, 2018, Advances in Natural and Technological Hazards Research.

Landslide susceptibility mapping along Bhalubang — Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models

Hamid Reza Pourghasemi, Biswajeet Pradhan, Kohki Yoshida, 2014, Journal of Mountain Science.

Investigating the effects of different landslide positioning techniques, landslide partitioning approaches, and presence-absence balances on landslide susceptibility mapping

Hamid Reza Pourghasemi, Norman Kerle, Aiding Kornejady, 2020, CATENA.

Forest stand susceptibility mapping during harvesting using logistic regression and boosted regression tree machine learning models

Thomas Blaschke, Hamid Reza Pourghasemi, H. Pourghasemi, 2020, Global Ecology and Conservation.

Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran

Hamid Reza Pourghasemi, Masood Beheshtirad, H. Pourghasemi, 2015 .

How do data-mining models consider arsenic contamination in sediments and variables importance?

Hamid Reza Pourghasemi, Prosun Bhattacharya, Alireza Motevalli, 2019, Environmental Monitoring and Assessment.

Effects of hydrological events on morphological evolution of a fluvial system

Hamid Reza Pourghasemi, Ian C. Fuller, Saskia Keesstra, 2018, Journal of Hydrology.

Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms

Hamid Reza Pourghasemi, Sungjae Park, Chang-Wook Lee, 2018, Sustainability.

Factors Influencing Regional-Scale Wildfire Probability in Iran

Hamid Reza Pourghasemi, Abolfazl Jaafari, H. Pourghasemi, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Erratum to: Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, Mohamed M. Al-Katheeri, 2016, Landslides.

Spatial modelling of gully headcuts using UAV data and four best-first decision classifier ensembles (BFTree, Bag-BFTree, RS-BFTree, and RF-BFTree)

Hamid Reza Pourghasemi, Wei Chen, Narges Kariminejad, 2019, Geomorphology.

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, The Science of the total environment.

A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change

Hamid Reza Pourghasemi, Saskia Keesstra, Mohammadtaghi Avand, 2020 .

An assessment of metaheuristic approaches for flood assessment

Hamid Reza Pourghasemi, Wei Chen, Seyed Vahid Razavi-Termeh, 2020 .

A novel hybrid bivariate statistical method entitled FROC for landslide susceptibility assessment

Hamid Reza Pourghasemi, Vali Vakhshoori, H. Pourghasemi, 2018, Environmental Earth Sciences.

Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India

Hamid Reza Pourghasemi, Sunil Saha, John P. Tiefenbacher, 2019, Environmental Earth Sciences.

Google Earth Engine and Its Application in Forest Sciences

Hamid Reza Pourghasemi, Seyed Kazem Alavipanah, Babak Zolghadr-Asli, 2020 .

A comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in China

Hamid Reza Pourghasemi, Wei Chen, Seyed Amir Naghibi, 2017, Arabian Journal of Geosciences.

Spatial Mapping of Groundwater Potential Using Entropy Weighted Linear Aggregate Novel Approach and GIS

Hamid Reza Pourghasemi, Shamsuddin Shahid, Alaa M. Al-Abadi, 2017 .

Soil erosion assessment using RUSLE model and its validation by FR probability model

Hamid Reza Pourghasemi, Sunil Saha, Amiya Gayen, 2020, Geocarto International.

Producing a Spatially Focused Landslide Susceptibility Map Using an Ensemble of Shannon’s Entropy and Fractal Dimension (Case Study: Ziarat Watershed, Iran)

Hamid Reza Pourghasemi, Aiding Kornejady, H. Pourghasemi, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

GIS-based bivariate statistical techniques for groundwater potential analysis (an example of Iran)

Hamid Reza Pourghasemi, Ali Haghizadeh, Davoud Davoudi Moghaddam, 2017, Journal of Earth System Science.

Application of Fuzzy Analytical Network Process Model for Analyzing the Gully Erosion Susceptibility

Hamid Reza Pourghasemi, Bakhtiar Feizizadeh, Bahram Choubin, 2018, Advances in Natural and Technological Hazards Research.

Identification of erosion-prone areas using different multi-criteria decision-making techniques and GIS

Hamid Reza Pourghasemi, Biswajeet Pradhan, Alireza Arabameri, 2018 .

Assessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province, Iran

Hamid Reza Pourghasemi, Hamid Reza Moradi, Seyed Amir Naghibi, 2016 .

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

Hamid Reza Pourghasemi, Karim C. Abbaspour, Seyed Amir Naghibi, 2018, Theoretical and Applied Climatology.

Interplay between river dynamics and international borders: The Hirmand River between Iran and Afghanistan.

Hamid Reza Pourghasemi, Saskia Keesstra, Saleh Yousefi, 2017, The Science of the total environment.

GIS‐based susceptibility assessment of the occurrence of gully headcuts and pipe collapses in a semi‐arid environment: Golestan Province, NE Iran

Hamid Reza Pourghasemi, Narges Kariminejad, Mohsen Hosseinalizadeh, 2019, Land Degradation & Development.

Spatial modelling of gully erosion in Mazandaran Province, northern Iran

Hamid Reza Pourghasemi, Alireza Motevalli, Abdulvahed Khaledi Darvishan, 2018 .

Applying different scenarios for landslide spatial modeling using computational intelligence methods

Hamid Reza Pourghasemi, Alireza Arabameri, Mojtaba Yamani, 2017, Environmental Earth Sciences.

Fractal analysis of rainfall-induced landslide and debris flow spread distribution in the Chenyulan Creek Basin, Taiwan

Hamid Reza Pourghasemi, H. Pourghasemi, Zon-Yee Yang, 2016, Journal of Earth Science.

Presentation of RFFR New Ensemble Model for Landslide Susceptibility Assessment in Iran

Hamid Reza Pourghasemi, Aiding Kornejady, H. Pourghasemi, 2018, Landslides: Theory, Practice and Modelling.

Effects of urbanization on river morphology of the Talar River, Mazandarn Province, Iran

Hamid Reza Pourghasemi, Hamid Reza Moradi, Saskia Keesstra, 2019 .

Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)

Hamid Reza Pourghasemi, Fatemeh Rezaie, Mahdi Panahi, 2020, Journal of Hydrology.

Validating gap-filling of Landsat ETM+ satellite images in the Golestan Province, Iran

Hamid Reza Pourghasemi, Hamid Reza Moradi, Hossein Zeinivand, 2014, Arabian Journal of Geosciences.

Flood Inundation Susceptibility Mapping using Analytical Hierarchy Process (AHP) and TOPSIS Decision Making Methods and Weight of Evidence Statistical Model (Case Study: Jahrom Township, Fars Province)

Hamid Reza Pourghasemi, Seyed Vahid Razavi Termeh, Fatemeh Alidadganfard, 2018, journal of watershed management research.

Spatial Modeling of Gully Erosion Using Linear and Quadratic Discriminant Analyses in GIS and R

Hamid Reza Pourghasemi, Alireza Arabameri, H. Pourghasemi, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

Hamid Reza Pourghasemi, Bakhtiar Feizizadeh, Omid Rahmati, 2017 .

Flood susceptibility mapping using geospatial frequency ratio technique: a case study of Subarnarekha River Basin, India

Hamid Reza Pourghasemi, Gouri Sankar Bhunia, Pravat Kumar Shit, 2018, Modeling Earth Systems and Environment.

Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran

Hamid Reza Pourghasemi, Biswajeet Pradhan, Seyed Amir Naghibi, 2016, Arabian Journal of Geosciences.

Evaluation of factors affecting gully headcut location using summary statistics and the maximum entropy model: Golestan Province, NE Iran.

Hamid Reza Pourghasemi, Giandiego Campetella, Majid Ownegh, 2019, The Science of the total environment.

Erratum to: Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

Hamid Reza Pourghasemi, Mauro Rossi, Zohre Sadat Pourtaghi, 2014, Environmental Earth Sciences.