Zahra Parvar | urban landscape | Women Researcher Award

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Mr. Zahra Parvar | urban landscape |Women Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Zahra Parvar is a dedicated Ph.D. candidate in Environmental Sciences and Engineering at Gorgan University, Iran. She holds an M.Sc. in Natural Resources Engineering with a focus on Environmental Assessment. Zahra’s research, exemplified by her high-distinction theses, delves into areas like land use change modeling, climate change, and ecosystem services modeling. With a strong command of remote sensing and GIS tools, including Python and R, she contributes significantly to environmental management. Zahra has published extensively in reputable journals, showcasing her expertise in environmental science and technology. Her recent achievements include developing Python-based applications for land surface temperature retrieval and TOPSIS software.

šŸŒ Professional Profiles

šŸ“š Education:

B.Sc. in Natural Resources Engineering- Environment Hakim Sabzevari University, Faculty of Geography & Environmental Sciences, Sabzevar, Iran. M.Sc in Natural Resources Engineering- Environmental Assessment. Malayer University, Faculty of Natural Resources and Environment, Department of Environmental Sciences, Iran. Ph.D. Candidate in Environmental Sciences and Engineering Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Iran

šŸ“ Theses:

Water Habitats of Iran (B.Sc. Project) Hakim Sabzevari University, Sabzevar, Iran, 2010 High Distinction. Monitoring Land Changes and Land Degradation Using Satellite Imagery, GIS and Landscape Metrics (Case Study: Shirin Dare Watershed Basin- North Khorasan province) (M.Sc. Thesis) Malayer, Iran, 2016 High Distinction. Spatial-temporal simulation of land use/cover scenarios considering impacts of 2D/3D urban site characteristics and carbon emission patterns on land surface temperature (Ph.D. Thesis – Ongoing) Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Iran

šŸ” Research Interests:

  • Land use change modeling
  • Climate change
  • Ecosystem services modeling
  • Land Use Planning and Optimization
  • Using RS and GIS for Change Detection and Modeling and Environmental Management
  • Scenario-Based Modeling
  • Remote Sensing
  • Landscape Planning
  • Sustainable Development-Urban Development

šŸ† Recent Achievements:

Developed a Python-based application for retrieving Land Surface Temperature (LST) from Landsat 5, 7, 8, and 9 imagery. Developed a Python-based application – TOPSIS software in the Python environment. Developed a Python-based application – Simulated Annealing Algorithm – Optimization.

šŸ“šTop Noted Publication

 

  1. Title: Site Suitability Evaluation for Ecotourism Using GIS & AHP: A Case Study of Hamedan Township
    • Author: K Shayesteh
    • Journal: Journal of Environmental Science and Technology
    • Volume: 21 (68500721)
    • Pages: 227-241
    • Year: 2019
    • Note: This study discusses the site suitability evaluation for ecotourism in Hamedan Township, utilizing GIS (Geographic Information System) and the Analytic Hierarchy Process (AHP).

 

  1. Title: Detection of Changes Resulting from Construction of Shirin Darreh Dam on Land Use/Land Cover in Downstream Basin
    • Author: Z Parvar
    • Journal: Environmental Researches
    • Volume: 7 (14)
    • Pages: 191-202
    • Year: 2017
    • Note: The research focuses on detecting changes in land use/land cover resulting from the construction of the Shirin Darreh dam in the downstream basin.

 

  1. Title: Integration of Cellular Automata-Markov (CA-Markov) Model and Logistic Regression to Land-Use Change Prediction: A Case Study of Gamasiab Basin
    • Authors: Z Parvar, K Shayesteh
    • Journal: Journal of Natural Environment
    • Volume: 72 (1)
    • Pages: 1-14
    • Year: 2019
    • Note: This work integrates the Cellular Automata-Markov (CA-Markov) model and logistic regression for predicting land-use changes, with a case study focused on the Gamasiab Basin.

 

  1. Title: Monitoring and Prediction of Urban Growth Using Multitemporal Images and GIS Techniques (A Case Study of Bojnourd City)
    • Author: Z Parvar
    • Journal: Journal of Environmental Studies
    • Volume: 43 (3)
    • Pages: 513-527
    • Year: 2017
    • Note: The study involves monitoring and predicting urban growth in Bojnourd City using multitemporal images and GIS techniques.

 

  1. Title: PyLST: A Python-Based Application for Retrieving Land Surface Temperature from Landsat 5, 7, 8, & 9
    • Authors: Z Parvar, A Salmanmahiny
    • Year: 2024
    • Note: This work introduces PyLST, a Python-based application designed for retrieving Land Surface Temperature from Landsat 5, 7, 8, and 9 satellite data.

 

  1. Title: Quantitative Assessment of Spatio-Temporal Dynamics of Land Use/Land Cover and Land Surface Temperature Using Different Algorithms and Landsat Imagery
    • Authors: Z Parvar, M Mohammadzadeh, S Saeidi
    • Journal: Journal of Natural Environment
    • Volume: 76 (2)
    • Pages: 229-243
    • Year: 2023
    • Note: The research quantitatively assesses the spatio-temporal dynamics of land use/land cover and land surface temperature using various algorithms and Landsat imagery.

 

  1. Title: Analysis of Spatial Heterogeneity and Driving Factors of Land Surface Temperature Using Spatial Regression Models
    • Authors: Z Parvar, M Mohammadzadeh, S Saeidi
    • Journal: Journal of Renewable Natural Resources Research
    • Volume: 13 (2)
    • Pages: 97-113
    • Year: 2023
    • Note: This study analyzes spatial heterogeneity and identifies driving factors of land surface temperature using spatial regression models.

 

  1. Title: Analyzing and Identifying the Threats in the Hunting Area of Eshkorat in Gilan Using Remote Sensing Techniques and Geographical Information System
    • Authors: H Zeinab, Z Parvar, A Jahani
    • Journal: Journal of Environmental Science Studies
    • Volume: 5 (3)
    • Pages: 2748-2756
    • Year: 2020
    • Note: The research focuses on analyzing and identifying threats in the hunting area of Eshkorat in Gilan using remote sensing techniques and GIS.

 

  1. Title: Landscape Economic Valuation by Integrating Landscape Ecology into Landscape Economics (Case Study: Hamedan City)
    • Authors: K Shayesteh, N Azizkhani Shadishe, H Nouri, Z Parvar, S Gharibi
    • Journal: Journal of Environmental Science Studies
    • Volume: 5 (2)
    • Pages: 2535-2543
    • Year: 2020
    • Note: This work integrates landscape ecology into landscape economics for the landscape economic valuation of Hamedan City.

 

  1. Title: FFT-PCA Image Fusion Based Flora and Vegetation Mapping of Eshkevarat No Hunting Zone
    • Authors: Z Hoseinnejad, H Hasani Moghaddam, Z Parvar, K Kavousi, …
    • Journal: Journal of Radar and Optical Remote Sensing and GIS
    • Volume: 3 (2)
    • Pages: 72-84