معرفی
Solmaz Fathololoumi is a researcher at the University of Guelph under the supervision of Dr. Asim Biswas. Her work focuses on advanced remote sensing techniques and digital soil mapping to address environmental challenges in agriculture, watershed management, and urban ecology. She specializes in integrating multi-source spatial data to model soil moisture, organic carbon dynamics, and land use changes.
- Education: Ph.D. candidate or postgraduate researcher (details not explicitly stated in text)
Research interests include digital soil mapping, soil moisture modeling, environmental management, remote sensing applications in land degradation assessment, and sustainable land use planning. Her work frequently addresses case studies in Iran (e.g., Ardabil Province) and Canada (e.g., Southern Ontario).
Recent publications emphasize methodologies for improving accuracy in gully erosion mapping, predicting surface urban cool islands, and quantifying prime agricultural land loss. She employs machine learning, Dempster-Schafer theory, and generalized regression neural networks in her research.
Her advising role indicates involvement in guiding research projects but no explicitly listed advisees. No grants or awards are mentioned in the provided text.
Solmaz collaborates with interdisciplinary teams focusing on ecological indices development and spatial decision-support frameworks for environmental management.
