Marzieh Mokarram

Publications

• Using Dempster–Shafer theory to model earthquake events
• Using a GIS-based order weight Average (OWA) Methods to Predict Suitable Location for Artificial Recharge of Groundwater
• An applicability test of the conventional and neural network methods to map the overall water quality of the Caspian Sea
• Thermal power plants pollution assessment based on deep neural networks, remote sensing, and GIS: A real case study in Iran
• Identification of suitable location to cultivate grape based on disease infestation using multi-criteria decision-making (MCDM) and remote sensing
• Using machine learning to predict processes and morphometric features of watershed
• Prediction drought using CA–Markov model and neural networks and its relationship to landforms
• Multi-criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine
• Investigation of Sustainable Rural Tourism Activities With Different Risk: A GIS‐MCDM Case in Isfahan, Iran
• Using the fuzzy-AHP technique for evaluating the land ecological potential for pistachio cultivation with an emphasis on climatic variables
• Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine
• Prediction of drought-driven land use/land cover changes in the Bakhtegan Lake watershed of Iran using Markov chain cellular automata model and remote sensing data
• Fuzzy AHP-based spatial distribution of fig tree cultivation in Zaprionus indianus infection risk for sustainable agriculture development
• A new version of the reconnaissance drought index, N-RDI
• Investigation of land use changes in rural areas using MCDM and CA-Markov chain and their effects on water quality and soil fertility in south of Iran
• Investigating the Relationship Between Topography and Drought in Southwestern Iran Using Remote Sensing
• A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant
• Prediction of watershed processes based on morphometric features using feature selection, SOM, and GMDH algorithms
• Prediction of watershed processes based on morphometric features using feature selection and neural network algorithms
• Assessing the performance of SN-SPI and SPI and the trend assessment of drought using the XI correlation technique over Iran
• Investigating the Relationship between Drought and Water Quality Reduction Using Remote Sensing and Neural Network Methods
• CA-Markov model application to predict crop yield using remote sensing indices
• A multi-criteria GIS-based model for wind farm site selection with the least impact on environmental pollution using the OWA-ANP method
• Determining microclimates, required weather stations, and suitable fruit tree species by using remote sensing techniques: A case study in an arid and subtropical region
• Prediction of drainage morphometry using a genetic landscape evolution algorithm
• Identification of morphometric features of alluvial fan and basins in predicting the erosion levels using ANN
• Using OWA-AHP method to predict landslide-prone areas
• Risk-based multi-criteria decision analysis of gas power plants placement in semi-arid regions
• Determining prone areas to gully erosion and the impact of land use change on it by using multiple-criteria decision-making algorithm in arid and semi-arid regions
• Prediction of Karst Suitable Area Using Fuzzy AHP Method and Dempster‐Shafer Theory
• Assessment of risk of non-cancer disease in contaminated plant (Ocimum basilicum L.) and soil
• Effects of heavy metal contamination released by petrochemical plants on marine life and water quality of coastal areas
• GIS-based fuzzy-analytic network process (FAHP), fuzzy-analytic hierarchy process (FANP) methods and feature selection algorithm (FSA) to determine earthquake-prone areas in Kermanshah Province
• Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
• Morphometry of AFs in upstream and downstream of floods in Gribayegan, Iran
• Investigation of plant contamination to Ni, Pb, Zn, and Cd and its relationship with spectral reflections
• Predicting Fault Locations based on Morphometric Features of Alluvial Fans and Basins using Artificial Neural Networks
• Using GIS-based order weight average (OWA) methods to predict suitable locations for the artificial recharge of groundwater
• Potential Ecological Risk Assessment of Ni, Cu, Zn, Cd, and Pb in Roadside Soils
• A cloud computing framework for analysis of agricultural big data based on Dempster–Shafer theory
• Investigation of water quality and its spatial distribution in the Kor River basin, Fars province, Iran
• Optimal location of yield with the cheapest water footprint of the crop using multiple regression and artificial neural network models in GIS
• Ecological risk potential assessment of heavy metal contaminated soils in Ophiolitic formations
• Effects of heavy metal contamination on river water quality due to release of industrial effluents
• Predicting non-carcinogenic hazard quotients of heavy metals in pepper (Capsicum annum L.) utilizing electromagnetic waves
• Utilizing multi-criteria decision to determine the best location for the ecotourism in the east and central of Fars province, Iran
• Evaluation of the soil fertility for corn production (Zea Mays) using the multiple-criteria decision analysis (MCDA)
• Assessment of heavy metals contamination and the risk of non-cancerous diseases in vegetable using electromagnetic-chemical
• Determination of suitable locations for the construction of gas power plant using multicriteria decision and Dempster–Shafer model in GIS
• Comparison of the capability of the Meteorological and Remote Sensing Drought Indices
• A novel optimal placing of solar farms utilizing multi-criteria decision-making (MCDA) and feature selection
• Investigating variations of vegetation: climatic, geological substrate, and topographic factors—a case study of Kharestan area, Fars Province, Iran
• Determination of the optimal location for constructing solar photovoltaic farms based on multi-criteria decision system and Dempster–Shafer theory
• Determination of artificial recharge location using analytic hierarchy process and Dempster–Shafer theory
• Investigating the topographic and climatic effects on vegetation using remote sensing and GIS: a case study of Kharestan region, Fars Province, Iran
• Comparison analytic network and analytical hierarchical process approaches with feature selection algorithm to predict groundwater quality
• Using adaptive neuro‐fuzzy inference system and multiple linear regression to estimate orange taste
• Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province)
• Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province)
• Using adaptive neuro-fuzzy inference system and multiple linear regression to estimate orange taste
• Prediction of soil clay minerals from some soil properties with use of feature selection algorithm and ANFIS methods
• Application of Dempster–Shafer theory and fuzzy analytic hierarchy process for evaluating the effects of geological formation units on groundwater quality
• Evaluation of sediment yield (Qs) in Bishezard watershed located southwest of Iran, using PSIAC and MPSIAC models
• Earthquake Events Modeling Using Multi-criteria Decision Analysis in Iran
• A review of landform classification methods
• Landslide Susceptibility Mapping Using Fuzzy-AHP
• Journal of Radar and Optic Remote Sensing
• بررسی شوری آب و خاک و ارتباط آن با پستی و بلندی های سطح زمین با استفاده از مدل فازی در محیط GIS - مطالعه موردی: حوضه آبخیز سیاخ دارنگون در غرب شیراز
• استفاده از خوارزمیک انتخاب ویژگی به‌منظور پیش‌بینی مقدار تبخیر و تعرق با کمترین داده
• BALANCING SOIL PARAMETERS AND FARMERS BUDGET BY FEATURE SELECTION AND ORDERED WEIGHTED AVERAGING
• Effects of Roadside on Vegetation and Some Physical, Chemical and Nutrients Availability of Soil (A Case Study: Darab-Bandar Abbas Road)
• Morphometric Assessment, Modeling and Waterway Extract from DEM using Sub-pixel Attraction Model
• Combination of Fuzzy Logic and Analytical Hierarchy Process Techniques to Assess Potassium Saturation Percentage of Some Calcareous Soils (Case Study: Fars Province, Southern Iran)
• Morphometric analysis of stream as one of resources for agricultural lands irrigation using high spatial resolution of digital elevation model (DEM)
• استفاده از مدل زیر پیکسل جاذبه به منظور افزایش قدرت تفکیک مکانی مدل رقومی ارتفاع (DEM)
• Using self-organizing maps for determination of soil fertility (case study: Shiraz plain)
• Using Self-Organizing Maps for Determination of Soil Fertility (Case Study: Shiraz Plain)
• Using ordered weight averaging (OWA) for multicriteria soil fertility evaluation by GIS (case study: southeast Iran)
• Assessment the soil fertility classes for common bean (Phaseolus Vulgaris L.) production using fuzzy-analytic hierarchy process (AHP) method
• Using ordered weight averaging (OWA) aggregation for multi-criteria soil fertility evaluation by GIS (case study: southeast Iran)
• Combination of Fuzzy Logic and Analytical Hierarchy Process Techniques to Assess Potassium Saturation Percentage of Some Calcareous Soils (Case Study: Fars Province, Southern Iran)
• Feature Selection as a Time and Cost-Saving Approach for Land Suitability Classification (Case Study of Shavur Plain, Iran)
• Investigation of the relationship between landform classes and electrical conductivity (EC) of water and soil using a fuzzy model in a GIS environment
• Investigation of the relationship between drinking water quality based on content of inorganic components and landform classes using fuzzy AHP (case study: south of Firozabad, west of Fars province, Iran)
• Relationship between landform classification and vegetation (case study: southwest of Fars province, Iran)
• Relationship between landform classification and vegetation (case study: southwest of Fars province, Iran)
• The self-organizing map for determination of main features related to biological yield and yield of wheat
• Landform classification using a sub-pixel spatial attraction model to increase spatial resolution of digital elevation model (DEM)
• Relationship between landform and soil salinity in the surface and subsurface soils (case study: Southeast of Fars Province, Iran)
• Modeling of multiple regression and multiple linear regressions for prediction of groundwater quality (case study: north of Shiraz)
• Assessment of soil erosion and sediment yield changes using erosion potential model: case study of Sangcharak catchment in Fars, Iran
• Using ordered weight averaging (OWA) for multicriteria soil fertility evaluation by GIS (case study: southeast Iran)
• Landform classification using a sub-pixel spatial attraction model to increase spatial resolution of digital elevation model (DEM)
• Comparis of digital elevation model (DEM) and aerial photographs for drainage
• Landform classification using topography position index (case study: salt dome of Korsia-Darab plain, Iran)
• Modeling the behavior of Vegetation Indices in the salt dome of Korsia in North-East of Darab, Fars, Iran
• Modeling the relationship between elevation, aspect and spatial distribution of vegetation in the Darab Mountain, Iran using remote sensing data
• Landform Classification of Zagros Mountains Using Multiscale Analysis of Digital Elevation Models
• Modeling the behavior of Vegetation Indices in the salt dome of Korsia in North-East of Darab, Fars, Iran
• Landform classification via fuzzy classification of morphometric parameters computed from digital elevation models: case study on Zagros Mountains
• A sub‐pixel mapping algorithm based on sub‐pixel/pixel spatial attraction models
• Using Machine Learning for Land Suitability Classification
• Use of morphometric analysis and self-organizing maps for alluvial fan classification: case study on Ostorankooh altitudes, Iran
• The use of fuzzy-AHP methods to assess fertility classes for wheat and its relationship with soil salinity: East of Shiraz, Iran: A case study
• Land suitability evaluation using ordered weight averaging with fuzzy quantifier in Shavoor plain, Iran
• LAND SUITABILITY EVALUATION FOR WHEAT CULTIVATION BY FUZZY THEORY APPROACHE AS COMPARED WITH PARAMETRIC METHOD
• GIS-BASED MULTICRITERIA LAND SUITABILITY EVALUATION USING ORDERED WEIGHT AVERAGING WITH FUZZY QUANTIFIER: A CASE STUDY IN SHAVUR PLAIN,IRAN
• Using feature selection method to determine the most effective factors for land suitability mapping as compare with fuzzy method
• Evaluation of land suitability maps with fuzzy-AHP framework as compared with FAO method for barley
• https://www.indianjournals.com/ijor.aspx?target=ijor:ijes&volume=2&issue=3&article=061
• Investigating the pollution of irrigated plants (Rosmarinus officinalis) with polluted water in different growth stages using spectrometer and K-means method
• Geographic information system‐based prediction of solar power plant production using deep neural networks
• Using machine learning to predict processes and morphometric features of watershed (vol 13, 8498, 2023)
• Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine
• Investigating Patterns of Air Pollution in Metropolises Using Remote Sensing and Neural Networks During the COVID-19 Pandemic
• Prediction of biological and grain yield of barley using multiple regression and artificial neural network models
• GIS-BASED MULTICRITERIA LAND SUITABILITY EVALUATION USING ORDERED WEIGHT AVERAGING WITH FUZZY QUANTIFIER: A CASE STUDY IN SHAVUR PLAIN, IRAN
• Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)
• Clustering of landforms using self-organizing maps (SOM) in the west of Fars province
• Investigating the effect of surface urban heat island on the trend of temperature changes
• Using DEM and GIS for evaluation of groundwater resources in relation to landforms in the Maharlou-Bakhtegan watershed, Fars province, Iran
• Evaluation of sediment yield (Qs) in Bishezard watershed located southwest of Iran, using PSIAC and MPSIAC models
• Assessing the groundwater quality by applying fuzzy logic in GIS environment - a case study in Southwest Iran
• Using machine learning for land suitability classification
• The use of fuzzy-AHP methods to assess fertility classes for wheat and its relationship with soil salinity: east of Shiraz, Iran: a case study
• Investigating patterns of air pollution in metropolises using remote sensing and neural networks during the COVID-19 pandemic
• Using neural networks and remote sensing for spatio-temporal prediction of air pollution during the COVID-19 pandemic
• SUHI intensity in relation to land use changes in urban areas using neural networks and remote sensing
• Spatial-temporal analysis of atmospheric environment in urban areas using remote sensing and neural networks
• Assessing air pollution changes during the COVID-19 and its impact on the urban environment using remote sensing and neural networks
• Soil erosion prediction using Markov and CA-Markov chains methods and remote sensing drought indicators
• Prediction of soil erosion using machine learning
• Assessing Water Quality in Rivers Flowing into the Caspian Sea in term of pollution using Water Quality Indices and Remote Sensing indices
• Optimizing biomass energy production in the southern region of Iran: A deterministic MCDM and machine learning approach in GIS
• Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method
• Mapping soil erosion susceptibility: a comparison of neural networks and fuzzy-AHP techniques
• Optimized Land Suitability Mapping for Wheat Cultivation by Integrating Fuzzy Hierarchical Analysis and Satellite Images
• Predicting wind turbine energy production with deep learning methods in GIS: A study on HAWTs and VAWTs