Applied Geomatics, Remote Sensing and Land Resources Laboratory


Oumer’s research is focused on designing an up-to-date quantitative and reproducible multi-scalar methodology for assessing land degradation response to climate change by analyzing time series of both climatic data and satellite observations, together with future projections from modelling, for the country of Ethiopia.

His research performs a comprehensive analysis of the impacts of climate change on land degradation as evidenced from the integration of a host of land degradation indicators, namely: normalized difference vegetation Index (NDVI), net primary productivity (NPP), crop yield, biomass, length of growing period (LGP), rainfall use efficiency (RUE), energy use efficiency (EUE) and aridity index (AI).

His ultimate intention is to develop a methodology to provide a tool for the assessment of the impacts of climate change on land degradation, to support policy for adaption measures, for food and water security, for environmental integrity, and for national strategies for economic development and resource conservation.

Currently he is working as a Post-doctoral fellow in the GEORESLAR lab. His Post-doc research focuses on multi sensor remote sensing of vegetation biophysical properties and environmental disturbance. His experience and expertise cover a diverse range of environmental applications, and his research in image analysis and environmental disturbance using earth observation imagery, GIS and machine learning has been featured in renowned geomatics journals.


After completing his B.Sc. Oumer began work with Dr. Raul Ponce Hernandez on his M.Sc focusing on Bayesian Networks and GIS Techniques for Modelling the Causality, Intensity, and Extent of Land Degradation in Drylands. After completion of his M. Sc and Ph.D. he is currently working as a Post-doctoral fellow with Dr. Raul Ponce Hernandez and Dr. Steven E. Franklin.