Entropy in Tropical Dry Ecosystems
Mashhadi, N., & Sanchez-Azofeifa, A. Entropy in Tropical Dry Ecosystems. In Remote Sensing of Tropical Dry Forests in the Americas (pp. 73-86). CRC Press.
CV
Skills
- Programming Languages: Proficient in Python, R
- Software: ArcGIS, QGIS, ArcPro, SNAP, ERDAS IMAGINE, ENVI, Global Mapper, Google Earth Pro, Cloud Compare
- Cloud Platforms: Google Earth Engine
- Machine/Deep Learning Frameworks: TensorFlow, PyTorch
- LiDAR Tools: LAStools, FUSION, LiDAR360, Agisoft
- Version Control & Project Management: Git, Jupyter Notebooks
Awards and Honors
- Doctoral Dissertation Award, Faculty of Science, University of Alberta, Canada, 2025.
- Graduate Student Teaching Award, University of Alberta, 2025.
- First Place Poster Award, International Society for Ecological Modeling (ISEM), 2023.
- Graduate Student Teaching Award, University of Alberta, 2023.
Recent Publications
Evaluating Lorenz entropy for tropical forest discrimination using GEDI and supervised machine learning approach
Mashhadi, N., & Sanchez-Azofeifa, A. (2025). Evaluating Lorenz entropy for tropical forest discrimination using GEDI and supervised machine learning approach. Ecological Indicators, 173, 113374.
LiDAR-derived Lorenz-entropy metric for vertical structural complexity: A comparative study of tropical dry and moist forests
Mashhadi, N., Sanchez-Azofeifa, A., & Valbuena, R. (2025). LiDAR-derived Lorenz-entropy metric for vertical structural complexity: A comparative study of tropical dry and moist forests. Remote Sensing of Environment, 318, 114545.
Modelling Entropy in Tropical Forest Ecosystems
Mashhadi, N., Sanchez-Azofeifa, G. A., & Valbuena, R. (2023). Modelling Entropy in Tropical Forest Ecosystems. AGU23.
Determination of forest burn scar and burn severity from free satellite images: A comparative evaluation of spectral indices and machine learning classifiers
Mashhadi, N., & Alganci, U. (2021). Determination of forest burn scar and burn severity from free satellite images: A comparative evaluation of spectral indices and machine learning classifiers. International Journal of Environment and Geoinformatics, 8(4), 488-497.
Talks
Entropy in Tropical Forest Ecosystems
Talk at Silvilaser, London, UK
Modelling Entropy in Tropical Forest Ecosystems
Talk at International Society for Ecological Modeling (ISEM), Toronto, ON, Canada
Ecological Modeling over Tropical Forests
Conference proceedings talk at ATLAS Research Symposium, Edmonton, AB, Canada
Wildlife Habitat and Biodiversity Using Remote Sensing and GIS
Talk at Quantitavie Remote Sensing, Istanbul, Turkey
Teaching
Service and leadership
- Led and supervised a fieldwork trip to Costa Rica:
- Managed and supervised a multidisciplinary team of undergraduate students in tropical forest tree stem data collection.
- Delegated responsibilities and ensured accurate and consistent data recording, resulting in high-quality research outputs.
- Conducted training sessions for GPS and field equipment usage, improving team efficiency and competence.