Biography
Niall Origo is a Senior Research Scientist in Earth Observation. His work focuses on applications of metrology, radiative transfer modelling, and field instrumentation for measuring vegetation-related biophysical variables.
Niall joined NPL in 2012 after completing an MSc. in Remote Sensing at University College London (UCL). He completed his PhD, also in Remote Sensing, at UCL in 2023, specifically on the measurement and modelling of the variable fraction of absorbed photosynthetically active radiation (fAPAR).
Understanding the role of, and changes to, vegetation is critical for shaping a rigorous picture of climate change, food security, and disaster management applications. Niall's work develops novel methods for building improved understanding of the quality of the data that feeds into these applications. Examples of work he leads include developing and utilising virtual replicas of real vegetated field sites, establishing and maintaining sensor networks for satellite validations, and applications of hyper-spectral imaging from unmanned aerial vehicles (UAVs) to retrieve satellite validation data.
Selected publications
Origo, N., Gorrono, J., Ryder, J., Nightingale, J., Bialek, A. (2020) Fiducial Reference Measurements for validation of Sentinel-2 and Proba-V surface reflectance products. Remote Sensing of Environment, 241:111690
Calders, K., Origo, N., Burt, A., Disney, M., Nightingale, J., Raumonen, P., Akerblom, M., Malhi, Y., Lewis, P. (2018) Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling. Remote Sensing, 18(6):1-15
Calders, K., Origo, N., Disney, M., Nightingale, J., Woodgate, W., Armston, J. and Lewis, P. (2018) Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index. Agricultural and Forest Meteorology, 252:231-240.
Origo, N., Calders, K., Nightingale, J. and Disney, M. (2017) Influence of levelling technique on the retrieval of canopy structural parameters from digital hemispherical photography. Agricultural and Forest Meteorology, 237-238:143-149
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