Dr. Ted Langhorst
Assistant Professor
Geology and Geophysics
Education
PhD, Geology, University of North Carolina at Chapel Hill, 2023
MS, Geology, University of North Carolina at Chapel Hill, 2019
BS, Geophysics, Ohio State University, 2016
Teaching Statement
My primary goals for students in any of my classes are to (1) deepen their connection with science and nature, (2) learn skills that further their career goals (3) strengthen their critical thinking and analytical skills, and (4) feel included and welcome to participate in the classroom. I enjoy teaching classes with hands on components, whether that is in a computer lab, at an electronics bench, or out in the field.
Research Statement
I am a hydrologist that focuses on understanding the quantity and quality of water resources at continental spatial scales and decadal time scales. My research is focused in 3 related directions: Using satellite remote sensing data to observe global hydrological patterns; developing low-cost, open-source sensors to expand training data, and finally, building robust, generalizable DL models for better understanding of surface processes. Ultimately, I want to translate these observational and predictive tools into actionable information to improve human well-being and ecosystem management.
SELECTED PUBLICATIONS
Langhorst, T., Andreadis, K., He, X., Friedmann, E., Gardner, J. G., & Pavelsky, T. M. 2025. Estimating Daily Suspended Sediment Flux from Multiple Data Sources using Deep Learning. Journal of Geophysical Research: Earth Surface. doi.org/10.1029/2024JF008212
Langhorst, T., Andreadis, K., & Allen, G. H., Global Cloud Biases in Optical Satellite Remote Sensing of Rivers. 2024. Geophysical Research Letters. doi.org/10.1029/2024GL110085
Langhorst, T., Pavelsky, T., Eidam, E., Cooper, L., Davis, J., Spellman, K., Clement, S., Arp, C., Bondurant, A., Friedmann, E., & Gleason, C. 2023. Increased scale and accessibility of sediment transport research in rivers through practical, open-source turbidity and depth sensors. Nature Water. doi.org/10.1038/s44221-023-00124-2
Langhorst, T., & Pavelsky, T. 2023. Global Observations of Riverbank Erosion and Accretion from Landsat Imagery. Journal of Geophysical Research: Earth Surface. doi.org/10.1029/2022JF006774
Yang, X., Langhorst, T., Pavelsky, T. 2023. Chapter A2.4 River Morphology. Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. Springer Nature. doi.org/10.1007/978-3-031-26588-4
The University of Wyoming has earned its Research Level 1 (R1) status from the Carnegie Classification of Institutions of Higher Education, placing Wyoming's only four-year university with the top research universities in the United States.