Personal profile
Research Interests
Machine learning applications, image analysis (multispectral and hyperspectral), spectral analysis (NNIR-MIR range), land-cover/use mapping, retrieval of crop biophysical and biochemical variables, statistical and spatial modelling of landscapes, and both research and teaching of Remote Sensing/Earth observation/Geographical Information Systems for natural and agro-ecological resources management. His work in recent times focuses on enhancing the use, understanding, development, and implementation of novel remote-sensing technologies and robust machine learning algorithms to aid agro-ecological systems research and application development for societal benefit.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land -
SDG 16 Peace, Justice and Strong Institutions -
SDG 17 Partnerships for the Goals
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Can Sentinel-2-derived spectral indices improve the accuracy of retrieving optically active water quality parameters using machine learning algorithms?
Rathupetsane, E. M., Kganyago, M., Madonsela, S. & Mvandaba, V., Jun 2026, In: Journal of Hydrology: Regional Studies. 65, 103356.Research output: Contribution to journal › Article › peer-review
Open Access -
Corrigendum to ‘Can Sentinel-2-derived spectral indices improve the accuracy of retrieving optically active water quality parameters using machine learning algorithms?’ [J. Hydrol. Reg. Stud. 65 (2026) 103356]
Rathupetsane, E. M., Kganyago, M., Madonsela, S. & Mvandaba, V., 2026, (Accepted/In press) In: Journal of Hydrology: Regional Studies. 103379.Research output: Contribution to journal › Comment/debate
Open Access -
Enhancement of Global Flood Risk Due To Greater Flood Magnitude and Variability Under Anthropogenic Activities
Chen, Y., Gu, X., Wang, L., Lai, Y., Li, J., Marengo Orsini, J. A., Kganyago, M., Noori, R., Sumiya, E., Tosunoğlu, F., Luo, Z., Guan, Y., Luo, S., Zhang, X., Kong, D. & Wang, L., 28 Feb 2026, In: Journal of Geophysical Research: Atmospheres. 131, 4, e2025JD044105.Research output: Contribution to journal › Article › peer-review
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A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping
Zhang, X., Liu, X., Zhang, X., Gulakhmadov, A., Wu, J., Gu, X., Nam, W. H., Kumar, P. R., Figueiredo Costa, V. A., Kganyago, M., Terfa, B. K., Du, W., Wang, C., Wang, P., Yuan, J. & Chen, N., 2025, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18, p. 17405-17421 17 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A systematic review of remote sensing technologies and techniques for agricultural insect pest monitoring: lessons for locustana pardalina (Brown Locust) control in South Africa
Mpisane, K., Kganyago, M., Munghemezulu, C., Price, R. & Nduku, L., 2025, In: Frontiers in Remote Sensing. 6, 1571149.Research output: Contribution to journal › Review article › peer-review
Open Access5 Citations (Scopus)
Press/Media
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UJ celebrates a record-breaking number of nominees in the 2024/2025 NSTF-South32 ‘Science Oscars’
Fawole, O., Pillay, K., Kganyago, M., Sinha Ray, S., Oluwafemi, S., Maxakato-Dingilizwe, N. & Modley, L.-A.
6/05/25
1 item of Media coverage
Press/Media