Dr. Hassan Khavarian Nehzak is an Associate Professor of Remote Sensing at the University of Mohaghegh Ardabili, Ardabil, Iran. His academic work focuses on remote sensing, Geographic Information Systems (GIS), geospatial analysis, and applying Earth observation technologies to environmental and natural-resource problems. He holds a Ph.D. in Remote Sensing from the University of Southampton, United Kingdom.
His teaching and research experience includes optical, thermal, and active/radar remote sensing; satellite-image processing and analysis; GIS and spatial analysis; environmental modelling; and remote sensing/GIS applications in natural resources and environmental studies. His research record includes work on satellite reflectance and land-surface albedo, land-surface temperature and urban thermal patterns, land-use/land-cover change, wildfire monitoring, soil salinity, water and soil resources, tourism planning, and geospatial decision-support approaches. He has also taught a broad range of undergraduate and postgraduate courses in remote sensing, GIS, image processing, thermal and radar remote sensing, programming, spatial databases, and environmental modelling.
14 - S Nikfal Moghanlou, H Khavarian,Optimum location of electric car charging stations (case study: Ardabil city),2025
13 - H Izadifard, S Rasinezami, R Mostafazadeh, H Khavarian,Urban Development and the Characteristics of Short and Medium-Term Hydrological Drought in the Samian Watershed of Ardabil Province,2024
12 - H Izadifard, S Rasinezami, R Mostafazadeh, H Khavarian,Relationship of surface runoff coefficient with land use/land cover change in Samian watershed, Ardabil province,2023
11 - R Maleki, H Khavaruan, S Asghari,Measuring the amount of land subsidence using radar interferometry technique (Case study: Earthquake-affected areas west of Kermanshah),2023
10 - SR Nezami, H Izadifard, H Khavarian, R Mostafazadeh,Land use/land cover changes in samian watershed, ardabil, and its relationship with the quality of surface water resources,2023
9 - HK Nehzak, M Aghaei, R Mostafazadeh, H Rabiei-Dastjerdi,Assessment of machine learning algorithms in land use classification,2022
8 - HK Nehzak, M Aghaei, R Mostafazadeh, H Rabiei-Dastjerdi,Evaluation of land use change predictions using CA-Markov model and management scenarios,2022
7 - T Sharifnrjad, H Khavarian Nehzak, S Saeid Varamesh,Assessing the capability of Modis fire detector products in identifying fires in Golestan State,2021
6 - M Aghaei, H Khavarian, R Mostafazadeh,Prediction of land use changes using the CA-Markov and LCM models in the Kozehtopraghi Watershed in the Province of Ardabil,2020
5 - H Khavarian, M Aghaie, R Mostafazadeh,Predicting the effects of land use changes on the monthly flow using hydrological model and Remote Sensing in the Kouzetopraghi watershed, Ardabil,2020
4 - H Khavarian, PM Atkinson, EJ Milton, JB Stewart,Validation of the MODIS reflectance product under UK conditions,2013
3 - MR MOBASHERI, N KHAVARIAN, P Ziaeian, GHA KAMALI,Evapo-transpiration assessment using Terra/MODIS images in the Gorgan general district,2007
2 - MR Mobasheri, H Khavarian, P Ziaeian, GH Kamali,Estimation of actual evapotranspiration using MODIS images and SEBAL algorithm,2005
1 - M MOBASHERI, H KHAVARIAN,ANALYSIS OF TO TECHNIQUES OF DETERMINATION OF EVAPO-TRANSPIRATION, USING SATELLITE IMAGERIES,2004
2 - Hassan Khavarian Nehzak, Maryam Aghaei, Raoof Mostafazadeh, Hamidreza Rabiei-Dastjerdi, Chapter 6 - Evaluation of land use change predictions using CA-Markov model and management scenarios, Editor(s): Hamid Reza Pourghasemi, Computers in Earth and Environmental Sciences, Elsevier, 2022, Pages 105-115, ISBN 9780323898614,
1 - Hassan Khavarian Nehzak, Maryam Aghaei, Raoof Mostafazadeh, Hamidreza Rabiei-Dastjerdi, Chapter 5 - Assessment of machine learning algorithms in land use classification, Editor(s): Hamid Reza Pourghasemi, Computers in Earth and Environmental Sciences, Elsevier, 2022, Pages 97-104, ISBN 9780323898614, https://doi.org/10.1016/B978-0-323-89861-4.00022-1. (
برنامه هفتگی استاد در ترم جاری
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