Multidisciplinary data scientist, leading the PhenoCam Dataset.
I am broadly interested in understanding complex spatial and temporal processes using big data and informatics to tackle real world problems.
Learn about what I doI often use hierarchical modeling, machine learning, geospatial techniques, remoteley sensed / field data and numerical analyses to solve complex problems. I employ combinations of platforms, tools and programming languages to implement/interpret my projects.
Ranging from environmental sciences to cutting-edge engineering problems.
PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018
PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
Flux Puppy – Open-source software application to measure fluxes
TRIAD: Tree Ring Image Analysis and Dataset
Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process
Monitoring Thermal Stress in Near Real-time
Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Machine learning via crowdsourced training data
A hierarchical framework for continental-scale modeling of plant functional traits across the US.
Remotely sensed monitroing of canopy water stress based on land surface temperature.
A state-space framework to model green-up phenology in the south-east over space and time.
A scalable framework to quantify radiation on snow-covered forest floor for hydrologic purposes.
An analytic model to estimate viewable fraciton of sky for modeling natrual environments.
3-D simulations of multiphase flow through natural porous media in geological time steps.
You can also download a PDF version of my résumé from here.
You can also download a PDF version of my CV from here.
Northern Arizona University, P.O. Box 5693
Flagstaff, AZ, 86011, USA