Dr. Greenberg's research centers on addressing questions of the impacts of climate change and land use/land cover change on vegetated ecosystems using remote sensing data. My research ranges across scales from individual plants to the globe, across many terrestrial and aquatic ecosystems, and utilizes state-of-the-art remote sensing imagery including hyperspectral, hyperspatial, multi-temporal, thermal, and LiDAR data.

Erin studies interactions among plant, soil, and hydrologic processes in arid and semi-arid systems. Disturbances such as wildfire, insect outbreaks, and forest clearing, play an important role in these dynamics, and in many ecosystems, disturbance events are becoming more frequent and severe in response to climate change and growing human populations. She uses use process-based models, remote sensing, and empirical analysis to answer questions about how climate change will affect future fire regimes, how these shifts will alter biogeochemical and ecohydrologic processes, and how we can mitigate the effects of climate change through management.

William’s research is broadly focused on understanding the ecohydrologic effects of fuel treatments. Specifically, his research uses ecohydrologic modeling to assess how fuel treatments can and will affect forests, water, and fire. His research looks to answer: if fuel treatments are going to be an increasingly common part of our forest management, how are those treatments altering our landscapes and affecting resources we care about? William is also interested in model development and creating tools and functionality to improve our processes-based modeling of fuel treatments and more.

Dr. Nikki C. Inglis is a geospatial data scientist based in Truckee, CA. She earned an M.S. in Applied Marine and Watershed Science from California State University, Monterey Bay in 2018 and a Ph.D. in Geospatial Analytics at North Carolina State University in 2021, where she built data visualization apps and studied the relationship between visual amenities and land change in social-ecological mountain systems. Her research interests include spatially explicit land change models (from fire behavior to urban growth), data visualization and storytelling, LiDAR-based wildfire fuels analysis, and remote sensing.

Ning completed his PhD in Civil and Environmental Engineering at Washington State University. His research focuses on understanding interactions among climate change, beetle outbreaks, and wildfire at basin scales. He is also interested in using remote sensing data to study how climate change and landuse change influence water resource management at regional scales and global scales. Personally, he likes reading, hiking, running, sleeping, exploring new hobbies, and staring into space.

Adriano is a Geospatial Lab Technician for the GEARS lab and received his B.S. in Environmental Science. A former student majoring in Computer Science and Computer Engineering, he switched to Environmental Science to narrow his focus on the use of geotechnologies to assess and solve problems. While still having that narrower focus, Adriano’s interests range between both fields of study.

Taylor Brown is a Ph.D. student in the Natural Resources and Environmental Science program at the University of Nevada, Reno. She received a B.S. in Biology and a minor in Geographic Information Systems at Eastern Connecticut State University. Taylor is interested in using spatial modeling to predict the impacts of global change on vulnerable ecosystems. She is working on the California Air Resources Board (CARB) project to produce a simplified quantification methodology tool for calculating forest health based on fuel reduction activities.

Theo is a PhD student in the Natural Resources & Environmental Science program at the University of Nevada, Reno. He completed his MS in NRES at UNR in 2021, and his B.S. in Environmental Science at Queens of Charlotte in North Carolina. His research focuses on using TLS and UAV data to assess and monitor change in Sierra Nevada forests.

Ashley is a PhD student in the Hanan lab who's research centers on understanding how climate and fuel treatments influence fire regimes across large spatial scales. She completed her BS degree in Foresty Ecology and Management at the University of Nevada, Reno in 2018. As a member of the Natural Resources and Environmental Science department, Ashley seeks to make connections between land managers and scientists inorder to best utilize scientific advancements.

Johanson Onyegbula is an MS student in the Natural Resources and Environmental Science program at the University of Nevada, Reno. He completed his B.Sc. in Surveying and Geoinformatics from the University of Lagos, Nigeria. His research interest lies at the intersection of Machine Learning and Remote Sensing. Before joining GEARS Lab as an MS student, Johanson worked as a software engineer. He is also interested in big data and cloud computing of large scale remote sensing datasets.

Gunner Stone is a PhD student in Computer Science and Engineering at the University of Nevada, Reno. His area of research is in Machine Learning with a focus in Deep Learning. Gunner is interested in the applications of deep learning and point cloud processing in their ability to solve the problem of tree species classification from unstructured TLS/ALS point clouds. Gunner is co-advised by Alireza Tavakkoli (CSE) and Jonathan Greenberg.