- Co-authored the paper 'deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics' published in Remote Sensing of Environment.
- Co-authored 'GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction', accepted as a poster at NeurIPS 2025.
- Former Master student Sydney Hedberg led a study published in Oecologia.
Research Experience
- Dr. Dao leads a multidisciplinary team focusing on exploring plant-environment disturbance interactions and their impacts on plant health, growth, and function by integrating multisource remote sensing, high-throughput plant phenotyping, geospatial sciences, genetic and molecular methods, biological modeling, and machine learning.
- Collaborating with Syngenta Group to develop scalable, transferable models for diagnosing crop stress using AI and remote sensing technologies.
Background
Areas of interest include plant ecophysiology, plant-disturbance interactions, precision agriculture, invasive species, biodiversity, remote sensing, geospatial science, machine learning, etc.