Prajwol Babu Subedi Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
University of Arkansas at Monticello
faculty
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Biography and Research Information
OverviewAI-generated summary
Prajwol Babu Subedi's research focuses on the application of remote sensing and geographic information systems (GIS) for environmental assessment, particularly in Nepal. His work investigates land use and land cover dynamics, deforestation rates, and forest degradation drivers, often employing machine learning and deep learning techniques. Subedi has published studies on estimating above-ground forest biomass using high-resolution imagery and satellite data, such as NAIP and GEDI. His research also extends to mapping forest fire risk zones and assessing the agroforestry potential of specific regions. He has co-authored publications with Marco A. Yáñez from the University of Arkansas at Monticello. Subedi's scholarly output includes 11 publications, with an h-index of 2 and 20 total citations.
Metrics
- h-index: 2
- Publications: 11
- Citations: 20
Selected Publications
- Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery and Deep Learning (2025) DOI
- Comparison of Supervised Machine Learning Algorithms for Extracting Tree Canopy Cover using High-Resolution Imagery and Google Earth Engine (2025) DOI
- Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR (2025) DOI
- Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery, Machine Learning, and Google Earth Engine (2024) DOI
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