Kyle Larson
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Biography
Kyle’s research spans a wide range of environmental topics, most of which have a common thread of integrating techniques from the fields of data science, geoinformatics, and remote sensing. Recent examples include integrating machine learning and remote sensing techniques to map invasive grasses and assess grass-wildfire cycles, developing automated remote sensing algorithms to assess damage caused by natural disasters and track changes at high-risk waste sites, and integrating climate-informed modeling and geoinformatics to create decision support frameworks for water-energy management. Other investigative areas of Kyle’s research include landscape and wildfire ecology, conservation and management of sensitive species and habitats, spatial planning for conventional hydropower and offshore renewable energy, environmental effects of hydropower, and environmental contamination monitoring and remediation.
Research Interests
- Geoinformatics and remote sensing
- Multi-modal data fusion
- "Big Earth Data" analytics
- Landscape ecology
- Environmentally sustainable energy development
Education and Credentials
- M.S., Environmental Science, Washington State University, Pullman, 2009
- B.S., Wildlife Biology, University of Idaho, 2004
PNNL Publications
2023
- Mcmanamay R., K.B. Larson, J.D. Tagestad, H.I. Jager, C.R. DeRolph, and M. Bevelhimer. 2023. "Mutually beneficial outcomes for hydropower expansion and environmental protection at a basin scale." Science of the Total Environment 896. PNNL-SA-186043. doi:10.1016/j.scitotenv.2023.165298
2022
- Larson K.B., J.W. Saulsbury, and E.R. Margiotta. 2022. Researcher Views on Water Data Accessibility, Usability, and Dissemination. PNNL-33552. Richland, WA: Pacific Northwest National Laboratory. Researcher Views on Water Data Accessibility, Usability, and Dissemination
2021
- Larson K.B., and A.R. Tuor. 2021. "Deep learning classification of cheatgrass invasion in the Western United States using biophysical and remote sensing data." Remote Sensing 13, no. 7:Article No. 1246. PNNL-SA-159598. doi:10.3390/rs13071246
2019
- Coleman A., J.D. Tagestad, M.J. Henry, J.P. Almquist, J.J. Harrison, J.D. Hendry, and I.R. Herrera, et al. 2019. Multi-Formalism Modeling for Disaster Resilience, Forecasting, and Response. PNNL-29173. Richland, WA: Pacific Northwest National Laboratory. Multi-Formalism Modeling for Disaster Resilience, Forecasting, and Response
2015
- Tagestad J.D., K.B. Larson, R.A. McManamay, C.A. Duberstein, C.R. DeRolph, and M. Bevelhimer. 2015. Integrated Basin-Scale Opportunity Assessment Initiative: Scoping Assessment for the Bighorn River Basin. PNNL-24429. Richland, WA: Pacific Northwest National Laboratory. Integrated Basin-Scale Opportunity Assessment Initiative: Scoping Assessment for the Bighorn River Basin
2014
- Larson K.B., S.E. Niehus, J.D. Tagestad, K.D. Ham, S.H. Geerlofs, and M.C. Richmond. 2014. The Integrated Basin-Scale Opportunity Assessment Initiative: Pilot Assessment for the Deschutes River Basin. PNNL-23197. Richland, WA: Pacific Northwest National Laboratory. The Integrated Basin-Scale Opportunity Assessment Initiative: Pilot Assessment for the Deschutes River Basin