Theodore Langhorst

Postdoctoral fellow, UMass Amherst

He/him/his

ted.langhorst@gmail.com

tedlanghorst.github.io

Google Scholar

 

Education

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.

 

Teaching Experience 

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.

 

Peer Reviewed Articles

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 FlowObstructing 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

 

 

 

Book Chapters

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

 

Invited Talks and Seminars

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.

 

Field Work Campaigns

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.

 

Service

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.

 

Conference Submissions

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

 

Successful Funding

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.