Area of research
Environmental Engineering · Global and Planetary Change
Research interest
Research focused on Environmental science and Lidar, with related work in Remote sensing, Forest inventory, Environmental resource management. Notable publications include 'Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission', 'Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest', and 'Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys'.
TreePS: Tree-Based Positioning in Forests Using Map Matching and Co-Registration of Lidar-Derived Stem Locations
Spatial resolution for forest carbon maps
Methods to assess fire-induced tree mortality: review of fire behaviour proxy and real fire experiments
Comparing Terrestrial and Mobile Laser Scanning Approaches for Multi-Layer Fuel Load Prediction in the Western United States
SegmentedForests: a labelled dataset of terrestrial LiDAR point clouds for semantic segmentation of forests
Field observations of trees, shrubs and surface fuels measured for the Fire and Smoke Model Evaluation Experiment (FASMEE), Western Wildfires Campaign
Methods to assess fire-induced tree mortality: comparing heated water baths to experimental laboratory fires
Ecotourism and mangrove conservation in Southeast Asia: Current trends and perspectives
Bacterial Emission Factors: A Foundation for the Terrestrial-Atmospheric Modeling of Bacteria Aerosolized by Wildland Fires
Towards global spaceborne lidar biomass: Developing and applying boreal forest biomass models for ICESat-2 laser altimetry data
Observations of a rotating pyroconvective plume
Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System
Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning
Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees
Towards Global Spaceborne Lidar Biomass: Developing and Applying Boreal Forest Biomass Models for Icesat-2 Laser Altimetry Data
Field plot measurements from the 2017-2020 FASMEE Rx fires
Terrestrial laser scanning and low magnetic field digitization data for coarse roots of 32-year-old Pinus ponderosa trees
Correction: Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees
Developing a Rapid Classification Approach for Using Very High-Resolution Satellite Imagery to Map Insect-Caused Forest Disturbances
Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem
A spatially explicit model of tree leaf litter accumulation in fire maintained longleaf pine forests of the southeastern US
Integrating active fire behavior observations and multitemporal airborne laser scanning data to quantify fire impacts on tree growth: A pilot study in mature Pinus ponderosa stands
Informing Sustainable Forest Management: Remote Sensing Strategies for Assessing Soil Disturbance after Wildfire and Salvage Logging
Modeling Crown-Bulk Density from Airborne and Terrestrial Laser Scanning Data in a Longleaf Pine Forest Ecosystem
Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Automated attribution of forest disturbance types from remote sensing data: A synthesis
<scp>treetop</scp> : A Shiny‐based application and R package for extracting forest information from <scp>LiDAR</scp> data for ecologists and conservationists
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
Spatial and temporal drivers of post-fire tree establishment and height growth in a managed forest landscape
Evaluating the Use of Lidar to Discern Snag Characteristics Important for Wildlife