I’m a master’s student in GIS and Natural Resource Science and Management with a focus on remote sensing
and climate resilient landscapes. My work centers on developing reproducible workflows for transforming
raw geospatial data into usable data products and decision-ready insights, guided by open science
principles and environmental justice.
For my capstone project, I’m developing an open-source pipeline that generates a set of data products
for
assessing urban tree canopy and vegetation and its benefits for urban heat and stormwater runoff. I will
use 2nd-generation LiDAR data and 2023 NAIP multispectral aerial imagery to produce
a canopy height model, fractional canopy cover, fractional impervious surface cover, and derived runoff
and heat risk proxies for the 7-county Twin Cities metro area. This project will support urban and
community climate adaptation decision-making and provide a transparent, reusable workflow that can be
easily updated and shared.
More broadly, I’m interested in relationships between vegetation, water, and infrastructure. I’m also
interested in geospatial monitoring for tracking landscape-scale ecosystem changes and evaluating
nature-based solutions. Throughout my career, I want to apply my interdisciplinary expertise to support
a just energy transition and more equitable climate outcomes.
Outside of coursework, I support open data access as a student metadata technician for the BTAA
Geoportal at the UMN Borchert Map Library, and I contribute to enterprise data management and cloud
migration efforts as a student GIS technician with the Minnesota DNR. I graduate from my Master of GIS
program in May 2026 and from my Master of Natural Resource Science and Management program in December
2027.