DrOmosalewa Odebiri

Omosalewa’s research focuses on the ecological, biogeochemical, and spatial processes that regulate ecosystem condition, carbon dynamics, and climate-change mitigation across terrestrial, freshwater, and coastal environments. His work bridges environmental science, ecosystem ecology, remote sensing, geospatial analytics, carbon modelling, and applied environmental management, aiming to develop scalable, evidence-based approaches for monitoring ecosystem change and supporting nature-based climate solutions.

His recent research centres on the role of aquatic ecosystems, including farm dams, coastal habitats, seagrass, kelp, and benthic environments, in carbon cycling, biodiversity conservation, and greenhouse gas dynamics. Through field-based environmental monitoring, spatial modelling, and machine-learning approaches, he investigates how ecosystem structure, water quality, management interventions, and environmental drivers influence greenhouse gas emissions and habitat condition.

Omosalewa’s work also focuses on sustainable farm dam management, particularly the role of livestock exclusion, water-quality improvement, and restoration-oriented interventions in reducing methane emissions and improving ecosystem outcomes. This research contributes to the growing evidence base on teal carbon ecosystems, agricultural emissions mitigation, and practical pathways for integrating small aquatic systems into climate and land-management strategies.

In parallel, he applies remote sensing, Google Earth Engine, GIS, and quantitative modelling to map and monitor environmental change at multiple spatial scales. His research includes national-scale soil organic carbon mapping, climate-change impacts on carbon stocks, benthic habitat classification, and operational monitoring frameworks that combine satellite imagery, bathymetry, environmental covariates, and machine-learning models.

His research interests include:

• Greenhouse gas emissions and climate-change mitigation in freshwater, agricultural, and coastal ecosystems.
• Teal carbon and blue carbon ecosystems, including farm dams, wetlands, seagrass, kelp, and benthic habitats.
• Remote sensing and geospatial modelling for ecosystem monitoring, habitat mapping, and environmental decision-making.
• Nature-based solutions and restoration ecology, especially interventions that improve water quality, biodiversity, carbon outcomes, and climate resilience.
• Soil organic carbon mapping and carbon-stock modelling across landscapes using remote sensing, topo-climatic data, and machine-learning approaches.
• Applied environmental management and policy translation, linking field evidence, spatial analytics, and stakeholder needs to practical conservation and climate outcomes.

This integrative approach, from field measurements to spatial modelling and decision-support tools, supports practical environmental management while advancing understanding of how ecosystems respond to climate change, land-use pressure, and restoration interventions.