Ph.D., Gorgan, Iran
Mohammad Hassan Naseri, born on October 1, 1992, in Pasargad, Iran, is a dedicated forestry researcher affiliated with the Department of Forestry at Gorgan University of Agricultural Sciences and Natural Resources. With hands-on experience in UAV imagery analysis, forest inventory, and digital image processing, he is passionate about sustainable forestry and ecological monitoring. His work spans from forest canopy mapping to evaluating environmental stress factors, positioning him as an emerging expert in remote sensing and forest health assessment. 🌲🛰️
Profile
Orcid
🎓 Education
Mohammad Hassan Naseri pursued his academic journey at Gorgan University of Agricultural Sciences and Natural Resources. He earned his Bachelor’s Degree in Forest Management in 2015, followed by a Master’s Degree in Forestry in 2017, with a thesis focused on oak decline using remote sensing. Currently, he is completing his Ph.D. in Forestry (2019–2024), with research centered on spatial-temporal tree drying monitoring using UAV and UltraCam images in Daland Forest Park. 📚🌳
💼 Experience
Mohammad has extensive experience in forest inventory and nursery management. As a supervisor, he mentored student internship projects and conducted advanced processing of UAV and satellite imagery using software such as Agisoft Metashape, Pix4D, GIS, ENVI, and eCognition. His applied knowledge in remote sensing tools supports his research in forest health and biodiversity mapping. He also has experience in managing field operations, indicating his versatile forestry skill set. 🛠️🌐
🔬 Research Interests
His research primarily focuses on remote sensing applications in forest ecology, UAV-based species classification, canopy density mapping, forest dieback analysis, and environmental factor modeling. He is especially interested in integrating UAV data with satellite imagery for precise forest health diagnostics and predicting long-term ecological trends. 🌍📡
🏆 Awards
While specific award titles aren’t listed, his research contributions and international publications in reputed journals reflect academic recognition in the field of forestry, ecological monitoring, and geospatial technologies. His advanced work with UAV and multispectral imaging showcases innovation and applied impact in environmental sciences. 🥇🌿
📚 Publications
Upscaling UAV and Lidar-derived forest gap area and edge length extractions using radar and optical sentinel images (2025) – International Journal of Remote Sensing
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Cited by 3 articles
Long-term prediction of wound closure in residual damaged trees using Markov chain analysis (2025) – Biosystems Engineering
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Cited by 2 articles
Tree mortality and dieback in Daland Forest Park, Iran: Assessment of Human and Environmental Factors (2025) – Iranian Journal of Forest
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Cited by 1 article
Relationship between Leaf Burn & Groundwater Levels with Mortality of Parrotia persica Trees (In Persian) (2025) – JWST Journal
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Cited by 0 articles
UAV-based detection of deciduous tree species using spectral characteristics (2024) – Journal of the Indian Society of Remote Sensing
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Cited by 5 articles
Improvement of forest canopy density mapping using RS/GIS-based classification (2023) – Arabian Journal of Geosciences
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Cited by 4 articles
Spatial modeling of disease surveillance in oak-hardwood forests via machine learning (2023) – Journal of Environmental Management
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Cited by 6 articles
Analysis of forest tree dieback using UltraCam and UAV imagery (2023) – Scandinavian Journal of Forest Research
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Cited by 3 articles
Zoning of leaf burn percentage in Daland Forest Park using UAV & Sentinel-2 (In Persian) (2022) – JWST Journal
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Cited by 1 article
Influence of forest road on biodiversity indices in Pasargad forests (In Persian) (2020) – Environmental Studies
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Cited by 2 articles
RapidEye imagery for canopy tree mapping in Dashtebarm Forest (In Persian) (2019) – Iranian Forest Ecology Journal
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Cited by 1 article
QuickBird imagery to separate Zagros Forest canopy (In Persian) (2019) – Ecopersia Journal
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Cited by 1 article
Conclusion
Mohammad Hassan Naseri appears to be a strong candidate for the Research for Young Scientist Award, given his impressive publication record, diverse skill set, and strong educational background. His research focus on forestry, remote sensing, and GIS is highly relevant to current environmental concerns. With some effort to expand his international collaboration and interdisciplinary research, Naseri has the potential to make even greater contributions to his field.