GEOPROCESSING & SPATIAL ANALYSIS
GEOPROCESSING & SPATIAL ANALYSIS
Embedded Files
Raster Data
Raster Data
Antivenom Accessibility Risk Index
Antivenom Accessibility Risk Index
Airborne Laser Scanning and tree identification methods with Canopy Height Models to quantify tree loss in avalanche paths.
Objective: test the possibility of using LiDAR data to measure post-avalanche tree loss.
Method: utilize tree detection algorithms from Canopy Height Models to quantify tree loss for plots in an avalanche path.
Result: measured average tree loss of 5% resulting from 2020 Utah South Monitor Bowl Avalanche, and identified locations of highest tree loss in the avalanche path.
Role: School Project
Skills: ArcGIS, Raster Calculation, Python
Spatial Statistics
Spatial Statistics
Borders Violence Regression
Borders Violence Regression
Quantifying the increase of violent conflict proximate to borders (national, colonial, religious, ethnic) with spatial regression.
Objective: determine the most significant proximity to which border type yields higher reported violent conflict events.
Method: perform multivariate regression analysis on the increase of violence with distance to borders controlling for confounding variables.
Result: statistically significant result showing proximity to religious borders, rivers, and coasts as having higher violence and fatalities.
Role: School Project
Skills: Google Earth Engine, Python, QGIS
Cartography
Cartography
Mozambique HIV Prevalence
Mozambique HIV Prevalence
Mapping HIV prevalence and heath facility infrastructure in Mozambique.
UAV & 3D Mapping
UAV & 3D Mapping
Detecting post-avalanche tree loss with LiDAR
Detecting post-avalanche tree loss with LiDAR
Role: Workshop Project Date: Dec 2025 Location: Missoula, MT, USA
Airborne Laser Scanning and tree identification methods with Canopy Height Models to quantify tree loss in avalanche paths.
Objective: test the possibility of using LiDAR data to measure post-avalanche tree loss.
Method: utilize tree detection algorithms from Canopy Height Models to quantify tree loss for plots in an avalanche path.
Result: measured average tree loss of 5% resulting from 2020 Utah South Monitor Bowl Avalanche, and identified locations of highest tree loss in the avalanche path.
Skills: Airborne Laser Scanning (ALS), ArcGIS, CloudCompare, R
LiDAR Scanners Infographic
LiDAR Scanners Infographic
Role: Workshop Project Date: Sep 2025 Location: Missoula, MT, USA
ArcGIS Story Map covering the uses of GNSS, TLS, and MLS scanning methods for building LiDAR point clouds in CloudCompare
Skills: ArcGIS, CloudCompare, GNSS, LiDAR (Terrestrial Laser Scanning, Mobile Laser Scanning)
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