As a member of the USGS Geomorphology and Sediment Transport Laboratory, Dr. Legleiter conducts research on remote sensing of rivers, specifically retreival of depth, velocity, and other channel attributes from various types of image data. Current studies focus on estimating tracer dye concentrations on the Missouri River and flow depths and velocities on several rivers&n
Dr. Legleiter joined the USGS Geomorphology and Sediment Transport Laboratory in January 2016. Before coming to the Survey, Legleiter was employed as an Associate Professor of Geography at the University of Wyoming. He earned a doctoral degree from the University of California Santa Barbara, graduating in 2009.
Dr. Legleiter's research focuses on the application of remote sensing to rivers, specifically hyperspectral imaging of sand- and gravel-bed channels. His interests also encompass fluvial geomorphology and sediment transport as he seeks to understand the mechanisms by which the movement of water and sediment direct the morphologic evolution of rivers. For this reason, Legleiter conducts studies of channel change, for which remote sensing has proven to be a powerful tool. Current work is focused on developing new methods of measuring river discharge and estimating tracer dye concentrations via remote sensing.
Remote sensing has emerged as a powerful tool for characterizing river systems across a broad range of scales and with far greater efficiency than conventional field methods. Dr. Legleiter's research at the USGS Geomorphology and Sediment Transport Laboratory (GSTL) focuses on developing innovative techniques for inferring various channel attributes from remotely sensed data. For example, previous studies have established methods for retrieving information on water depth from hyperspectral images and/or bathymetric (green) LiDAR. In collaboration with colleagues at the GSTL, Legleiter is now working to develop innovative approaches for remote sensing of river discharge using a combination of depth retrieval from passive optical image data and water surface velocity estimation from thermal and optical videography. Another collaborative project with the USGS Ecosystems Mission Area involves estimating tracer dye concentrations from passive optical image data to facilitate dispersion studies.
Science and Products
Filter Total Items: 36
Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021
This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study:
1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity from
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The LiDAR was
Digital elevation models (DEMs) and field measurements of flow velocity used to develop and test a multidimensional hydrodynamic model for a reach of the upper Sacramento River in northern California
This data release includes the input topographic data sets, model parameters, and validation field measurements of flow velocity used to develop and test multidimensional hydraulic models for a reach of the upper Sacramento River in northern California. Digital elevation models (DEMs) were developed by combining water depth maps of the reach, created using spectrally-based remote sensing methods,
Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021
This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feas
Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August 2021
This data release includes field measurements and remotely sensed data from two reaches of the Buffalo National River in northern Arkansas acquired in August and September of 2021 to support research on remote sensing of benthic algae from aerial photographs and satellite images. This landing page has links to child items where each type of data can be accessed: Field measurements of water depth
Field measurements of water depth from the American River near Fair Oaks, CA, October 19-21, 2020
Field measurements of water depth were acquired from a reach of the American River at Sailor Bar, near Fair Oaks, California, October 19-21, 2020, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained via two different methods: 1) By wading the shallow channel margins with RTK GPS receivers and measuring water
Field measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021
Field measurements of water depth were acquired from a reach of the Colorado River near Lees Ferry, Arizona, March16-18, 2021, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained along a series of cross-sections using a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a boat. Th
Phytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020
This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn. Whole water sa
Helicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019
This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, Alas
Topographic, temperature, and sediment grain size data used to evaluate potential habitat for anadromous salmonids on the upper Merced and Tuolumne Rivers in California
This data release includes various data sets used to quantify the capacity of two rivers, the Merced and Tuolumne, in the Sierra Nevada of California for reintroduction of two species of anadromous salmonids, Steelhead and spring-run Chinook Salmon. The child pages linked below provide access to the following data sets: Topo-bathymetric digital elevation models of the river channels and adjacent
Satellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)
This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on July 14, 2
Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provid
Filter Total Items: 38
Performance evaluation of a channel rehabilitation project on the Lower Missouri River and implications for the dispersal of larval pallid sturgeon
In the Lower Missouri River, extensive channel modifications have altered hydraulic and morphologic conditions and reduced the river's ecological integrity. One species that has been adversely affected by these changes is the pallid sturgeon (Scaphirhynchus albus). Mainstem dams on the Missouri River restrict the upstream migration of adults and limit the downstream dispersal of larvae. Channeliza
Authors
Brandon James Sansom, Bruce Call, Carl J. Legleiter, R. B. Jacobson
Moving Aircraft River Velocimetry (MARV): Framework and proof-of-concept on the Tanana River
Information on velocity fields in rivers is critical for designing infrastructure, modeling contaminant transport, and assessing habitat. Although non-contact approaches to measuring flow velocity are well established, these methods assume a stationary imaging platform. This study eliminates this constraint by introducing a framework for moving aircraft river velocimetry (MARV). The workflow takes
Authors
Carl J. Legleiter, Paul J. Kinzel, Mark Laker, Jeff Conaway
Evaluating the sensitivity of multi-dimensional model predictions of salmon habitat to the source of remotely sensed river bathymetry
Multi-dimensional numerical models are fundamental tools for investigating biophysical processes in aquatic ecosystems. Remote sensing techniques increase the feasibility of applying such models at riverscape scales, but tests of model performance on large rivers have been limited. We evaluated the potential to develop two-dimensional (2D) and three-dimensional (3D) hydrodynamic models for a 1.6-k
Authors
Lee R. Harrison, Carl J. Legleiter, Vamsi K Sridharana, Peter Dudley, Miles E. Daniels
Bathymetry retrieval from CubeSat image sequences with short time lags
The rapid expansion of CubeSat constellations could revolutionize the way inland and nearshore coastal waters are monitored from space. This potential stems from the ability of CubeSats to provide daily imagery with global coverage at meter-scale spatial resolution. In this study, we explore the unique opportunity to improve the retrieval of bathymetry offered by CubeSats, specifically those of th
Authors
Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo
River bathymetry retrieval from Landsat-9 images based on neural networks and comparison to SuperDove and Sentinel-2
The Landsat mission has kept an eye on our planet, including water bodies, for 50 years. With the launch of Landsat-9 and its onboard Operational Land Imager 2 (OLI-2) in September 2021, more subtle variations in brightness (14-bit dynamic range) can be captured than previous sensors in the Landsat series (e.g., 12-bit Landsat-8). The enhanced radiometric resolution of OLI-2 appeals to the aquatic
Authors
Milad Niroumand-Jadidi, Carl J. Legleiter, Francesca Bovolo
Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments like phyco
Authors
Carl J. Legleiter, Tyler Victor King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. Rosen
Remote sensing of visible dye concentrations during a tracer experiment on a large, turbid river
Understanding dispersion in rivers is critical for numerous applications, such as characterizing larval drift for endangered fish species and responding to spills of hazardous materials. Injecting a visible dye into the river can yield insight on dispersion processes, but conventional field instrumentation yields limited data on variations in dye concentration over time at a few, fixed points. Rem
Authors
Carl J. Legleiter, Brandon James Sansom, R. B. Jacobson
Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA
Although rivers are of immense practical, aesthetic, and recreational value, these aquatic habitats are particularly sensitive to environmental changes. Increasingly, changes in streamflow and water quality are resulting in blooms of bottom-attached (benthic) algae, also known as periphyton, which have become widespread in many water bodies of US national parks. Because these blooms degrade visito
Authors
Carl J. Legleiter, Shawn W Hodges
Capacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view
Historically, anadromous steelhead Oncorhynchus mykiss and spring-run Chinook Salmon O. tshawytscha used high-elevation rivers in the Sierra Nevada of California but were extirpated in the 20th century by construction of impassable dams. Plans to reintroduce the fish by opening migratory passage across the dams and reservoirs can only succeed if upstream habitats have the capacity to support viabl
Authors
David A. Boughton, Lee R. Harrison, Sara N. John, Rosealea M. Bond, Colin L. Nicol, Carl J. Legleiter, Ryan T. Richardson
Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale
Remote sensing of flow conditions in stream channels could facilitate hydrologic data collection, particularly in large, inaccessible rivers. Previous research has demonstrated the potential to estimate flow velocities in sediment-laden rivers via particle image velocimetry (PIV). In this study, we introduce a new framework for also obtaining bathymetric information: Depths Inferred from Velocitie
Authors
Carl J. Legleiter, Paul J. Kinzel
Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river
Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we evaluated the p
Authors
Carl J. Legleiter, Paul J. Kinzel
Improving remotely sensed river bathymetry by image-averaging
Basic data on river bathymetry is critical for numerous applications in river research and management and is increasingly obtained via remote sensing, but the noisy, pixelated appearance of image‐derived depth maps can compromise subsequent analyses. We hypothesized that this noise originates from reflectance from an irregular water surface and introduced a framework for mitigating these effects b
Authors
Carl J. Legleiter, Paul J. Kinzel
Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)
# TRiVIA
Toolbox for River Velocimetry using Images from Aircraft: TRiVIA
## Description
The Toolbox for River Velocimetry using Images from Aircraft, or TRiVIA for short, is an application to facilitate estimation of surface flow velocities in river channels from various types of remotely sensed data acquired with a nadir-viewing geometry (i.e., looking straight down). Spatially distributed info
ORByT - Optical River Bathymetry Toolkit
The Optical River Bathymetry Toolkit, ORByT, is an application to facilitate mapping water depth in river channels from passive optical image data. ORByT provides an integrated workflow for image processing, depth retrieval, and export of results.
Science and Products
- Data
Filter Total Items: 36
Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021
This data release includes digital orthophotos acquired from a fixed-wing aircraft and field measurements of flow velocity from the Tanana and Nenana Rivers near Nenana, Alaska, obtained on August 18 and 19, 2021. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow velocity fromTopographic LiDAR surveys of rivers in Alaska, July 24-26, 2019
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The LiDAR wasDigital elevation models (DEMs) and field measurements of flow velocity used to develop and test a multidimensional hydrodynamic model for a reach of the upper Sacramento River in northern California
This data release includes the input topographic data sets, model parameters, and validation field measurements of flow velocity used to develop and test multidimensional hydraulic models for a reach of the upper Sacramento River in northern California. Digital elevation models (DEMs) were developed by combining water depth maps of the reach, created using spectrally-based remote sensing methods,Remotely sensed data and field measurements for mapping visible dye concentrations during a tracer experiment on the Missouri River near Columbia, MO, May 5, 2021
This data release includes field spectra, UAS-based RGB videos, and digital orthophotography acquired from a manned fixed-wing aircraft, as well as in situ measurements of turbidity and Rhodamine WT dye concentration acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasRemotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August 2021
This data release includes field measurements and remotely sensed data from two reaches of the Buffalo National River in northern Arkansas acquired in August and September of 2021 to support research on remote sensing of benthic algae from aerial photographs and satellite images. This landing page has links to child items where each type of data can be accessed: Field measurements of water depthField measurements of water depth from the American River near Fair Oaks, CA, October 19-21, 2020
Field measurements of water depth were acquired from a reach of the American River at Sailor Bar, near Fair Oaks, California, October 19-21, 2020, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained via two different methods: 1) By wading the shallow channel margins with RTK GPS receivers and measuring waterField measurements of water depth from the Colorado River near Lees Ferry, AZ, March 16-18, 2021
Field measurements of water depth were acquired from a reach of the Colorado River near Lees Ferry, Arizona, March16-18, 2021, to support research on remote sensing of water depth from satellite images. The depth measurements included in this data release were obtained along a series of cross-sections using a SonTek RiverSurveyor M9 acoustic Doppler current profiler (ADCP) deployed from a boat. ThPhytoplankton identification and biovolume data for field samples from Detroit Lake, Oregon, and Owasco Lake, New York, collected in August 2019 and August 2020
This dataset contains taxonomic and biovolume data for phytoplankton sampled from Detroit Lake, OR, in August, 2019, and August, 2020. Taxonomy is reported to the lowest possible taxonomic level along with total and percent biovolume. Surface grab samples for phytoplankton enumeration were collected with a van Dorn type sampler and then transferred into a clearn polycarbonate churn. Whole water saHelicopter-based videos and field measurements of flow depth and velocity from the Tanana River, Alaska, acquired on July 24, 2019
This data release includes videos acquired from a helicopter and field measurements of flow depth and velocity from the Tanana River near Nenana, Alaska, obtained on July 24, 2019. This parent data release includes links to child pages for two data sets produced during the study: 1. Acoustic Doppler Current Profiler (ADCP) field measurements of flow depth and velocity from the Tanana River, AlasTopographic, temperature, and sediment grain size data used to evaluate potential habitat for anadromous salmonids on the upper Merced and Tuolumne Rivers in California
This data release includes various data sets used to quantify the capacity of two rivers, the Merced and Tuolumne, in the Sierra Nevada of California for reintroduction of two species of anadromous salmonids, Steelhead and spring-run Chinook Salmon. The child pages linked below provide access to the following data sets: Topo-bathymetric digital elevation models of the river channels and adjacentSatellite video and field measurements of flow velocity acquired from the Tanana River in Alaska and used for particle image velocimetry (PIV)
This data release includes a video acquired from a satellite and field measurements of flow velocity from the Tanana River in Alaska that were used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV). The field data were collected on July 24, 2019, in cooperation with the USGS Alaska Science Center, and the satellite video was obtained on July 14, 2Geo-referenced orthophotographs of the Snow River, Alaska, acquired September 1, 2018
This data release consists of orthophotographs of the Snow River in Alaska acquired on September 1, 2018. The orthophotographs were produced from images obtained using a Hasselblad A6D-100C 100 megapixel digital mapping camera deployed within a pod mounted on the landing gear of a Robinson R44 helicopter. Images were acquired as the helicopter transited a series of flight lines designed to provid - Publications
Filter Total Items: 38
Performance evaluation of a channel rehabilitation project on the Lower Missouri River and implications for the dispersal of larval pallid sturgeon
In the Lower Missouri River, extensive channel modifications have altered hydraulic and morphologic conditions and reduced the river's ecological integrity. One species that has been adversely affected by these changes is the pallid sturgeon (Scaphirhynchus albus). Mainstem dams on the Missouri River restrict the upstream migration of adults and limit the downstream dispersal of larvae. ChannelizaAuthorsBrandon James Sansom, Bruce Call, Carl J. Legleiter, R. B. JacobsonMoving Aircraft River Velocimetry (MARV): Framework and proof-of-concept on the Tanana River
Information on velocity fields in rivers is critical for designing infrastructure, modeling contaminant transport, and assessing habitat. Although non-contact approaches to measuring flow velocity are well established, these methods assume a stationary imaging platform. This study eliminates this constraint by introducing a framework for moving aircraft river velocimetry (MARV). The workflow takesAuthorsCarl J. Legleiter, Paul J. Kinzel, Mark Laker, Jeff ConawayEvaluating the sensitivity of multi-dimensional model predictions of salmon habitat to the source of remotely sensed river bathymetry
Multi-dimensional numerical models are fundamental tools for investigating biophysical processes in aquatic ecosystems. Remote sensing techniques increase the feasibility of applying such models at riverscape scales, but tests of model performance on large rivers have been limited. We evaluated the potential to develop two-dimensional (2D) and three-dimensional (3D) hydrodynamic models for a 1.6-kAuthorsLee R. Harrison, Carl J. Legleiter, Vamsi K Sridharana, Peter Dudley, Miles E. DanielsBathymetry retrieval from CubeSat image sequences with short time lags
The rapid expansion of CubeSat constellations could revolutionize the way inland and nearshore coastal waters are monitored from space. This potential stems from the ability of CubeSats to provide daily imagery with global coverage at meter-scale spatial resolution. In this study, we explore the unique opportunity to improve the retrieval of bathymetry offered by CubeSats, specifically those of thAuthorsMilad Niroumand-Jadidi, Carl J. Legleiter, Francesca BovoloRiver bathymetry retrieval from Landsat-9 images based on neural networks and comparison to SuperDove and Sentinel-2
The Landsat mission has kept an eye on our planet, including water bodies, for 50 years. With the launch of Landsat-9 and its onboard Operational Land Imager 2 (OLI-2) in September 2021, more subtle variations in brightness (14-bit dynamic range) can be captured than previous sensors in the Landsat series (e.g., 12-bit Landsat-8). The enhanced radiometric resolution of OLI-2 appeals to the aquaticAuthorsMilad Niroumand-Jadidi, Carl J. Legleiter, Francesca BovoloSpectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments like phycoAuthorsCarl J. Legleiter, Tyler Victor King, Kurt D. Carpenter, Natalie Celeste Hall, Adam Mumford, E. Terrence Slonecker, Jennifer L. Graham, Victoria G. Stengel, Nancy Simon, Barry H. RosenRemote sensing of visible dye concentrations during a tracer experiment on a large, turbid river
Understanding dispersion in rivers is critical for numerous applications, such as characterizing larval drift for endangered fish species and responding to spills of hazardous materials. Injecting a visible dye into the river can yield insight on dispersion processes, but conventional field instrumentation yields limited data on variations in dye concentration over time at a few, fixed points. RemAuthorsCarl J. Legleiter, Brandon James Sansom, R. B. JacobsonMapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA
Although rivers are of immense practical, aesthetic, and recreational value, these aquatic habitats are particularly sensitive to environmental changes. Increasingly, changes in streamflow and water quality are resulting in blooms of bottom-attached (benthic) algae, also known as periphyton, which have become widespread in many water bodies of US national parks. Because these blooms degrade visitoAuthorsCarl J. Legleiter, Shawn W HodgesCapacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view
Historically, anadromous steelhead Oncorhynchus mykiss and spring-run Chinook Salmon O. tshawytscha used high-elevation rivers in the Sierra Nevada of California but were extirpated in the 20th century by construction of impassable dams. Plans to reintroduce the fish by opening migratory passage across the dams and reservoirs can only succeed if upstream habitats have the capacity to support viablAuthorsDavid A. Boughton, Lee R. Harrison, Sara N. John, Rosealea M. Bond, Colin L. Nicol, Carl J. Legleiter, Ryan T. RichardsonDepths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale
Remote sensing of flow conditions in stream channels could facilitate hydrologic data collection, particularly in large, inaccessible rivers. Previous research has demonstrated the potential to estimate flow velocities in sediment-laden rivers via particle image velocimetry (PIV). In this study, we introduce a new framework for also obtaining bathymetric information: Depths Inferred from VelocitieAuthorsCarl J. Legleiter, Paul J. KinzelSurface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river
Conventional, field-based streamflow monitoring in remote, inaccessible locations such as Alaska poses logistical challenges. Safety concerns, financial considerations, and a desire to expand water-observing networks make remote sensing an appealing alternative means of collecting hydrologic data. In an ongoing effort to develop non-contact methods for measuring river discharge, we evaluated the pAuthorsCarl J. Legleiter, Paul J. KinzelImproving remotely sensed river bathymetry by image-averaging
Basic data on river bathymetry is critical for numerous applications in river research and management and is increasingly obtained via remote sensing, but the noisy, pixelated appearance of image‐derived depth maps can compromise subsequent analyses. We hypothesized that this noise originates from reflectance from an irregular water surface and introduced a framework for mitigating these effects bAuthorsCarl J. Legleiter, Paul J. Kinzel - Software
Toolbox for River Velocimetry using Images from Aircraft (TRiVIA)
# TRiVIA Toolbox for River Velocimetry using Images from Aircraft: TRiVIA ## Description The Toolbox for River Velocimetry using Images from Aircraft, or TRiVIA for short, is an application to facilitate estimation of surface flow velocities in river channels from various types of remotely sensed data acquired with a nadir-viewing geometry (i.e., looking straight down). Spatially distributed infoORByT - Optical River Bathymetry Toolkit
The Optical River Bathymetry Toolkit, ORByT, is an application to facilitate mapping water depth in river channels from passive optical image data. ORByT provides an integrated workflow for image processing, depth retrieval, and export of results.