Staff Profiles

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 15 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 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:

1. 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;
2. low-cost sensor-driven mobile mapping systems and solutions for modelling of water quality and road pavement conditions;
3. 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. 

Digital Image Processing

Digital Photogrammetry

Satellite Remote Sensing (Optical and Microwave)

Engineering Surveying

Geographic Information Systems & Science 

Spatial Modelling for Hydroinformatics

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., R. Cheruyot and A.N. Wachera (2021). Rainfall and runoff time-series trend analysis using LSTM recurrent neural network and wavelet neural network with satellite-based meteorological data: case study of Nzoia hydrologic basin. Complex & Intelligent Systems. doi: https://doi.org/10.1007/s40747-021-00365-2.

Ouma, Y.O., C.O. Okuku and E.N. Njau (2020). Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya. Complexity. doi: https://doi.org/10.1155/2020/9570789.

Ouma, Y.O. and M. Hahn (2017). Pothole detection on asphalt road pavements from 2D-vision pothole images using fuzzy c-means clustering and morphological reconstruction. Automation in Construction. doi: https://doi.org/10.1016/j.autcon.2017.08.017.