Affiliation: Bay Area Environmental Research Institute, NASA Ames Research Center

Division: Earth Science Division (SG), NASA Earth eXchange (NEX)

Email: daniel.j.dixon@nasa.gov

Dan Dixon is a Research Scientist at the Bay Area Environmental Research Institute and NASA Earth eXchange (NEX) at Ames Research Center. He holds a Ph.D. in Geography from the University of Western Australia (2022) and an M.S. in Earth System Science from the University of North Dakota (2018). His research focuses on remote sensing and machine learning applications for forest and fire ecology. He currently leads the aboveground biomass mapping task for the Wildfire, Ecosystem Resilience, & Risk Assessment Initiative (WERK).

Ph.D. Geography, University of Western Australia, Australia

M. Sc. University of North Dakota, USA

B. A. West Chester University of Pennsylvania, USA

• Zhu, Y., Dixon, D. J., & Jin, Y. (2026). Scalable sub-meter mapping of woody vegetation and structures across California’s heterogeneous landscape using deep learning. Remote Sensing of Environment, 333, 115091.
• Dixon, D. J., Zhu, Y., & Jin, Y. (2025). Canopy height estimation from PlanetScope time series with spatio-temporal deep learning. Remote Sensing of Environment, 318, 114518.
• Dixon, D. J., Zhu, Y., Brown, C. F., & Jin, Y. (2023). Satellite detection of canopy-scale tree mortality and survival from California wildfires with spatio-temporal deep learning. Remote Sensing of Environment, 298, 113842.
• Dixon, D. J., Duncan, J. M. A., Callow, J. N., Setterfield, S. A., & Pauli, N. (2023). Fire reduces eucalypt forest flowering phenology at the landscape-scale. Science of The Total Environment, 894, 164828.
• Rossiter-Rachor, N. A., Adams, V. M., Canham, C. A., Dixon, D. J., Cameron, T. N., & Setterfield, S. A. (2023). The cost of not acting: Delaying invasive grass management increases costs and threatens assets in a national park, northern Australia. Journal of Environmental Management, 333, 116785.
• Dixon, D. J., Callow, J. N., Duncan, J. M. A., Setterfield, S. A., & Pauli, N. (2022). Regional-scale fire severity mapping of Eucalyptus forests with the Landsat archive. Remote Sensing of Environment, 270, 112863.
• Dixon, D. J., Callow, J. N., Duncan, J. M. A., Setterfield, S. A., & Pauli, N. (2021). Satellite prediction of forest flowering phenology. Remote Sensing of Environment, 255, 112197.
• Dixon, D. J., Zheng, H., & Otto, C. R. V. (2021). Land conversion and pesticide use degrade forage areas for honey bees in America’s beekeeping epicenter. PLOS ONE, 16(5), e0251043.