Daniel Dixon — Research Scientist, NASA Earth eXchange
Daniel Dixon is a Research Scientist at the Bay Area Environmental Research Institute and with the NASA Earth eXchange (NEX) at Ames Research Center.
He holds a Ph.D. in Geography from the University of Western Australia (2022), an M.S. in Earth System Science from the University of North Dakota (2018), and a B.A. from West Chester University of Pennsylvania.
Dixon focuses on remote sensing and machine learning applications for forest and fire ecology and leads the aboveground biomass mapping task for the Wildfire, Ecosystem Resilience, & Risk Assessment Initiative (WERK).
His publications include work on scalable sub-meter mapping of woody vegetation and structures across California (2026), canopy height estimation from PlanetScope time series with spatio-temporal deep learning (2025), and satellite detection of canopy-scale tree mortality and survival from California wildfires (2023).
daniel dixon, nasa, remote sensing, machine learning, forest ecology, fire ecology, aboveground biomass, werk, canopy height, california wildfires