Researcher Profiles

Comprehensive Database of all UZ leading Research and Innovation endeavors

Ms. Tasiyiwa Priscilla Madhibha-Muumbe

Qualifications:

MSc Geoinformation Science and Earth Observation (Specialization Natural Resources Management) – ITC; Faculty of Geoinformation Science and Earth Observation University of Twente (2016) BSc Honours Forest Resources and Wildlife Management from the National University of Science and Technology (NUST), Bulawayo, Zimbabwe (2006)

Academic Appointments:

Lecturer

Research Interests:

Geographical Information Systems and Remote Sensing and its applications in forestry.


Faculty: Science
Department: Geography
Research Category: Geography and Environmental Science
Biography:


Email: pmuumbe@science.uz.ac.zw
Phone: +263242303211
Publications:

1. Madhibha, T., Murepa, R., Musokonyi, C., & Gapare, W. (2013). Genetic parameter estimates for interspecific Eucalyptus hybrids and implications for hybrid breeding strategy. New Forests, 44(1), 63–84. doi:10.1007/s11056-011-9302-8
2. Nyoka, B. I., Ajayi, O. C., Akinnifesi, F. K., Chanyenga, T., Mng’omba, S. A., Sileshi, G.,Madhibha, T. (2011). Certification of agroforestry tree germplasm in Southern Africa: Opportunities and challenges. Agroforestry Systems, 83(1), 75–87. doi:10.1007/s10457-011-9393-4
3. Nyoka, B. I., Tembani MC, Madhibha TP, Mushongahande M, Gondo P, Machena C, Chingarande YT, Kusena K, Kativu S, Mujuru L, Mafuratidze R, Mudhefi A, Gumbie A, Kunene DI, S. E. (2011) The State of the World’s Forest Genetic Resources: Country Report Zimbabwe. Harare. doi: ISBN 0-7974-5000-4.
4. Tembani, M., Madhibha, T., Marunda, C. T., & Gapare, W. J. (2014). Sustaining and improving forest genetic resources for Zimbabwe: lessons from 100 years. International Forestry Review, 16(6), 615–632. doi:10.1505/146554814814095339
5. Madhibha, T. P. (2016). Assessement of Above Ground Biomass with Terrestrial LiDAR Using 3D Quantitative Structure Modelling in Tropical Rain Forest of Ayer Hitam Forest Reserve,Malaysia. University of Twente Faculty of Geo-Information and Earth Observation (ITC).
6. Muumbe, T.P.,Hussin,Y.,Van Leeuwen,L., Paradzayi, T.,& Mafuratidze P (2019) EstimatingAbove-Ground Biomass with Terrestrial Laser Scanner and 3D Quantitative Structure Modelling for a Tropical Rain Forest .Southern Forests: a Journal of Forest Science (In review)
7. Mafuratidze P.,Muumbe, T.P.,Gara, T.,& Mazhindu ,A.N., (2019) .Dominant wetland vegetation species discrimination and quantification using in situ hyperspectral data. Transations of the Royal Society of South Africa ( In review)

Patented Work:

Grants & Funding (current and Past projects):

Awards & Achievements:

Worked on the assessment of Above Ground Biomass (AGB) using Terrestrial LiDAR and 3D Quantitative
Structure Modelling (QSM) in a tropical rain forest, a case study of Ayer Hitam Forest Reserve, Malaysia. The
aim of the research was to explore the feasibility of using Terrestrial LiDAR and QSM to assess AGB with the
objective of providing an accurate method for REDD+ Measuring Reporting and Verification (MRV) systems.

Consultancy and advisory work (current and past):

Supervision information (MPhil, DPhil, etc.):

Professional membership, Committees, Boards:

External Profile Links (Google Scholar, ResearchGate, LinkedIn, other social media links):




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