Satellite-derived bathymetry

Dr. Christopher Olayinka Ilori is an Earth Observation Specialist with over 10 years of experience transforming satellite data into actionable insights for environmental sustainability, marine conservation, and coastal resilience. He works as an independent remote sensing contractor, leading projects on Satellite-Derived Bathymetry (SDB) that apply radiative transfer modelling and machine learning to map shallow-water environments critical to navigation safety, coastal management, and ecosystem protection. His current research focuses on physics-informed machine learning (PIML) - embedding governing physical laws directly into deep learning architectures to deliver predictions that are accurate, transferable, and uncertainty-aware. He is extending this approach beyond bathymetry to other domains where quantified uncertainty drives consequential decisions, including water resources, agriculture, energy, and health.

Dr. Christopher Olayinka Ilori is an Earth Observation Specialist with over 10 years of experience transforming satellite data into actionable insights for environmental sustainability, marine conservation, and coastal resilience. He works as an independent remote sensing contractor, leading projects on Satellite-Derived Bathymetry (SDB) that apply radiative transfer modelling and machine learning to map shallow-water environments critical to navigation safety, coastal management, and ecosystem protection. His current research focuses on physics-informed machine learning (PIML) - embedding governing physical laws directly into deep learning architectures to deliver predictions that are accurate, transferable, and uncertainty-aware. He is extending this approach beyond bathymetry to other domains where quantified uncertainty drives consequential decisions, including water resources, agriculture, energy, and health.