D.Eng Geosystems Engineering (Chiba University, Japan)
MSc(Eng) Geomatics (University of Cape Town, South Africa)
BSc(Hons) Surveying & Photogrammetry (University of Nairobi, Kenya)
Yashon Ouma is a Professor of Geomatics, with more than 20 years of experience in research and teaching. Yashon is an Alexander von Humboldt (AvH) Experienced Research Fellow with research/work experience in South Africa, Germany, Kenya, Japan and Botswana. Professionally, Professor Ouma is a member of the International Society of Photogrammetry and Remote Sensing (ISPRS) and is a registered Associate Member of the Institution of Surveyors of Kenya (AMISK). He is currently an Associate Editor with the The International Journal of Applied Earth Observation and Geoinformation, and also serves in the International Cartographic Association (ICA) under the Commission on Sensor-driven Mapping. Professor Ouma's recent research projects are focused on the development of:
- innovative Earth Observation Analytics and AI-based algorithms and methods for modelling long-term impacts of climate change and anthropogenic activities on water quality and water quantity in semi-arid regions, with current case study of Botswana's Limpopo River Basin;
- low-cost sensor-driven mobile mapping systems and solutions for modelling of water quality and road pavement conditions;
- multisensor remote sensing approaches for understanding urban growth dynamics and impacts of urban expansion, including land-use and land-cover change detection and Land Surface Temperature (LST) dynamics.
GeoAI
Digital Image Processing
Digital Photogrammetry
Satellite Remote Sensing (Optical and Microwave)
Engineering Surveying
Geographic Information Systems & Science
Hydroinformatics & Geoinformatics
Research Methods
Programming for Geomatics
Earth Observation Analytics: Integrated Sensor Systems, Artificial Intelligence & Machine Leaning
Optical and Microwave Sensor Data Processing and Applications
Mobile Mapping Sensor Systems (MMSS): Development and Applications
Geographic Information Systems: GIS theory and applications
Remote Sensing and Earth Observation (EO)
EO-Big Data and Intelligent Data Models
Sensors, Algorithm Development and Computational Methods in Photogrammetry
Geoinformatics and Applications in Asset and Resource Monitoring
- Ouma, Y.O., Keitsile, A., Lottering, L., Nkwae, B. and Odirile, P., 2024. Spatiotemporal empirical analysis of particulate matter PM2. 5 pollution and air quality index (AQI) trends in Africa using MERRA-2 reanalysis datasets (1980–2021). Science of The Total Environment, Vol. 912, p.169027. https://doi.org/10.1016/j.scitotenv.2023.169027.
- Ouma, Y.O., Keitsile, A., Nkwae, B., Odirile, P., Moalafhi, D. and Qi, J., 2023. Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach. European Journal of Remote Sensing, Vol. 56, No. 1, p.2173659. https://doi.org/10.1080/22797254.2023.2173659.
- Ouma, Y.O. and Omai, L., 2023. Flood Susceptibility Mapping Using Image-Based 2D-CNN Deep Learning: Overview and Case Study Application Using Multiparametric Spatial Data in Data-Scarce Urban Environments. International Journal of Intelligent Systems, Vol. 2023, Article ID 5672401, 23 pp. https://doi.org/10.1155/2023/5672401.