Mr. Sami D. Madundo

Sami Madundo

Mr. Sami D. Madundo

Tutorial Assistant

Department of Forest Engineering and Wood Sciences

 College of Forestry, Wildlife and Tourism Building, Office number 5, Sokoine University of Agriculture, Morogoro, Tanzania

 +255 782 131 465

 sami.madundo@sua.ac.tz

 ResearchGate profile

Research Areas:

Wood Anatomy; Remote Sensing; Tree Physiology; Statistical Modelling; Tropical Forest Ecology

Research Interests
Selected Publications
Academic and Professional Qualifications

I am a tutorial assistant in the Department of Forest Engineering and Wood Sciences with a strong interest in wood anatomy and quality, tree physiology, statistical modelling, remote sensing of forest stand parameters, and tropical forest ecology. 

Currently, my work is focused on:

  • Comparative wood anatomy, wood-water relations, and climate change adaptation.
  • Investigating the within-tree variations of tropical tree species.
  • Utilizing machine learning approaches in developing methods for tropical timber species identification.
  • Linking remote sensing and tree-ring methods to study ecological processes (dendroecology).

Selected Publications

Tesha, D. L., Mauya, E. W., Madundo, S. D., & Emily, C. J. (2023). Role of Topography, Soil and Climate on Forest Species Composition and Diversity in the West Usambara Montane Forests of Tanzania. Folia Oecologica, 50(2), 16-43. https://doi.org/10.2478/foecol-2023-0002


Madundo, S. D., Mauya, E. W., & Kilawe, C. J. (2023). Comparison of Multi-Source Remote Sensing Data for Estimating and Mapping Above-ground Biomass in the West Usambara Tropical Montane Forests. Scientific African, e01763. https://doi.org/10.1016/j.sciaf.2023.e01763


Madundo, Sami Dawood, Mauya, Ernest William, Lolila, Nandera Juma & Mchelu, Hadija Ahmed (2022). Modelling and Mapping Forest Above-Ground Biomass Using Earth Observation Data. International Journal of Natural Resource Ecology and Management, 7(1), 15-21. https://doi.org/10.11648/j.ijnrem.20220701.13


Mauya, E. W. & Madundo, S. (2022). Modelling Above Ground Biomass Using Sentinel 2 and Planet Scope Data in Dense Tropical Montane Forests of Tanzania. Tanzania Journal of Forestry and Nature Conservation, 91(2), 132–153. https://www.ajol.info/index.php/tjfnc/article/view/221552


For a full list of Mr. Madundo’s publications, please visit his Google Scholar profile at:

Academic/Educational Background

  • Master of Science in Forestry, Sokoine University of Agriculture, Morogoro, Tanzania (2023)
  • Bachelor of Science in Forestry, Sokoine University of Agriculture, Morogoro, Tanzania (2020)