Theodore Langhorst Postdoctoral fellow, UMass Amherst He/him/his |
PhD Geological Sciences. University of North Carolina at Chapel Hill. 2023.
Dissertation Title: Advancing Remote Sensing of Fluvial Sediment Transport and Storage
M.S. Geological Sciences. University of North Carolina at Chapel Hill. 2019.
B.S. Geophysics. Ohio State University School of Earth Sciences. 2016.
Field Instructor. 2020-2022 Integrating Geosciences and Engineering in the Arctic |
Undergraduate field course in Arctic hydrology. Helped students define and test field-based hypotheses on permafrost hydrology in Northern Alaska. |
Teaching Assistant. 2019; 2021 Water in Our World (300-level hydrology course) |
Weekly review and computational lab section. Introduction to manipulating, graphing, and interpreting data for applications in hydrology and climate. |
Teaching Assistant. 2016 Introduction to Earth Science and Geology of our National Parks |
Weekly review and hands-on lab for introductory Earth Science classes. Wide variety of topics for non-science majors. |
2025* |
Langhorst, T., Andreadis, K., He, X., Friedmann, E., Gardner, J. G., & Pavelsky, T. M. Estimating Daily Suspended Sediment Flux from Multiple Data Sources using Deep Learning. Submitted to Journal of Geophysical Research: Earth Surface. http://doi.org/10.22541/au.173557455.56955504/v1 |
2025* |
He, X., Andreadis, K., Roy, A., Langhorst, T., Kumar, A., & Butler, S. Modeling daily ice cover in Northern Hemisphere lakes with a Long-Short Term Memory neural network. Submitted to Geophysical Research Letters. http://doi.org/10.5066/P13ZGUGE |
2024 |
Langhorst, T., Andreadis, K., & Allen, G. H., Global Cloud Biases in Optical Satellite Remote Sensing of Rivers. Geophysical Research Letters. doi.org/10.1029/2024GL110085 |
2024 |
Friedmann, E., Gleason, C., Feng, D., & Langhorst, T. Estimating Riverine Total Suspended Solids from Spatiotemporal Satellite Sensor Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi.org/10.1109/JSTARS.2024.3443756 |
2024 |
Arp, C. D., Bondurant, A. C., Clement S., Eidam, E., Langhorst T., Pavelsky T. M., Davis J., & Spellman K. V. "Observation of high sediment concentrations entrained in jumble river ice." River Research and Applications. doi.org/10.1002/rra.4309 |
2024 |
Clement, S., Spellman, K., Eidam, E., Langhorst, T., Arp, C., Davis, J., Pavelsky, T. & Bondurant, A. How Do You Sample a Frozen River? Increasing K–12 STEM Engagement Through Real-World Problem Solving and Scientific Research. Connected Science Learning. doi.org/10.1080/24758779.2024.2328225 |
2023 |
Smith, L.C., Fayne, J.V., Wang, B., Kyzivat, E.D., Gleason, C.J., Harlan, M.E., Langhorst, T., Feng, D., Pavelsky, T.M. & Peters, D.L. Peace-Athabasca Delta water surface elevations and slopes mapped from AirSWOT Ka-band InSAR. Remote Sensing Letters. doi.org/10.1080/2150704X.2023.2280464 |
2023 |
Langhorst, T., Pavelsky, T., Eidam, E., Cooper, L., Davis, J., Spellman, K., Clement, S., Arp, C., Bondurant, A., Friedmann, E., & Gleason, C. 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 |
2023 |
Langhorst, T., & Pavelsky, T. Global Observations of Riverbank Erosion and Accretion from Landsat Imagery. Journal of Geophysical Research: Earth Surface. doi.org/10.1029/2022JF006774 |
2023 |
Harlan, M. E., Gleason, C. J., Flores, J. A., Langhorst, T. M., & Roy, S. Mapping and characterizing Arctic beaded streams through high resolution satellite imagery. Remote Sensing of Environment. doi.org/10.1016/j.rse.2022.113378 |
2023 |
Wang, B., …, Langhorst, T., … (6th of 13 coauthors), Athabasca River Avulsion Underway in the Peace-Athabasca Delta, Canada. Water Resources Research. doi.org/10.1029/2022WR034114 |
2023 |
Wang, C., …, Langhorst, T., … (9th of 19 coauthors), Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta. Remote Sensing of Environment. doi.org/10.1016/j.rse.2023.113646 |
2022 |
Yang, X., …, Langhorst, T., … (12th of 17 coauthors), Mapping Flow‐Obstructing Structures on Global Rivers. Water Resources Research. doi.org/10.1029/2021wr030386 |
2021 |
Eidam, E. F., Langhorst, T., Goldstein, E. B., & McLean, M. OpenOBS: Open-source, low-cost optical backscatter sensors for water quality and sediment-transport research. Limnology and Oceanography: Methods. doi.org/10.1002/lom3.10469 |
2020 |
Whittemore, A., Ross, M. R. V., Dolan, W., Langhorst, T., Yang, X., Pawar, S., Jorissen, M., Lawton, E., Januchowski-Hartley, S., & Pavelsky, T. A Participatory Science Approach to Expanding Instream Infrastructure Inventories. Earth’s Future. doi.org/10.1029/2020EF001558 |
2019 |
Kyzivat, E. D., …, Langhorst, T., … (8th of 12 coauthors), A high-resolution airborne color-infrared camera water mask for the NASA ABoVE campaign. Remote Sensing. doi.org/10.3390/rs11182163 |
2019 |
Langhorst, T., Pavelsky, T. M., Frasson, R. P. D. M., Wei, R., Domeneghetti, A., Altenau, E. H., Durand, M. T., Minear, J. T., Wegmann, K. W., & Fuller, M. R. Anticipated improvements to river surface elevation profiles from the surface water and ocean topography mission. Frontiers in Earth Science. doi.org/10.3389/feart.2019.00102 |
2019 |
Tuozzolo, S., Langhorst, T., de Moraes Frasson, R. P., Pavelsky, T., Durand, M., & Schobelock, J. J. The impact of reach averaging Manning’s equation for an in-situ dataset of water surface elevation, width, and slope. Journal of Hydrology. doi.org/10.1016/j.jhydrol.2019.06.038 |
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2023 |
Yang, X., Langhorst, T., Pavelsky, T. 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 |
2025 |
Sensors to Satellites: River Water Quantity and Quality Across Scales. University of Pittsburgh, Department of Geology and Environmental Science. |
2024 |
Deep learning and remote sensing of fluvial suspended sediment flux. University of Cincinnati, Department of Chemical and Environmental Engineering |
2024 |
Multi-Modal Deep Learning of Suspended Sediment. River Morphology Information System (RIMORPHIS) Workshop, hosted by Purdue University. |
2023 |
Lead sediment monitoring study in collaboration with NASA SWOT satellite validation. Sag. River, AK |
2022 |
Lead and mentored undergraduates in Arctic field campaigns. Sag. River, AK. |
2021 |
Lead and mentored undergraduates in Arctic field campaigns. Sag. River, AK. |
2019 |
Co-Lead 6-week field campaign with rotating crew of 11 researchers from 5 institutions. Peace Athabasca Delta, Canada. |
2018 |
Assisted with 4 weeks of hydrographic surveys. Peace Athabasca Delta, Canada. |
2017 |
Assisted with water surface elevation surveys. North Saskatchewan River, Canada. Sagavanirktok River, AK. |
2016 |
Lead bathymetric study for hydrodynamic modeling. Olentangy River, OH. |
Public
Sediment, Ice, and Learning on the Tanana – For this project, I assembled sensor kits and travelled to Alaska to help two groups of middle school aged students build their own water quality sensors. We then deployed these in the frozen Tanana River. Upon retrieving the sensors, I assisted with data analysis which the students could then interpret.
OpenOBS outreach – As an extension of my open-source water quality sensor work I have provided remote support to schools and citizen science projects in the United States, Canada, the United Kingdom, Madagascar, and Nepal. Since 2020.
Skype a Scientist – I phone in to classrooms to connect with students about how science works, what we do, and answer their questions about science and being a scientist. Since 2023.
Professional
Instrumentation Committee member - Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI). Since 2022.
University
Department Senator - UNC Graduate and Professional Student Government. 2021-2022.
2025 |
Estimating Daily Suspended Sediment Flux from Multiple Data Sources using Deep Learning |
CSDMS Annual Meeting |
2024 |
Global Cloud Biases in Optical Satellite Remote Sensing of Rivers. |
AGU Fall Meeting |
2024 |
Multi-Model Comparison of Suspended Sediment Flux in the Sagavanirktok River, Alaska. |
EGU General Assembly |
2022 |
Simultaneous remote sensing of river discharge and suspended sediment on the Sagavanirktok River, Alaska. |
AGU Fall Meeting |
2022 |
The first year of OpenOBS deployments: successful turbidity measurements in diverse environments and applications. |
AGU Ocean Sciences Meeting |
2021 |
Global riverbank migration from 36 years of satellite imagery. |
AGU Fall Meeting |
2020 |
Variability and controls of riverbank erosion in the United States from 35 years of satellite imagery. |
AGU Fall Meeting |
2019 |
Remotely sensed discharge and sediment flux of the Sagavanirktok River. |
AGU Fall Meeting |
2018 |
Anticipated improvements to in-river DEMs from the Surface Water and Ocean Topography mission. |
AGU Fall Meeting |
Title: Sediment fluxes in boreal rivers: determining relative seasonal loads and expanding long-term monitoring capability
Funding Agency: NSF, #2153778
Principal Investigator: Emily Eidam, Oregon State University
Role: Contributing Researcher (explicitly funded but not as an investigator)
Duration: Fall 2022 - Fall 2024
Amount: $336,638 (2 semesters + $15,000 instrument development funds for Langhorst)
Description: This proposal was based on my previous work on low-cost, do-it-yourself turbidity sensors These sensors allowed us to continuously monitor sediment loads under ice without risking expensive commercial devices and allowed students to build their own sensors. My work on this project was detailed in the Langhorst et al. (2023) publication in Nature Water.