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A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV).
- Published in:
- Earth Surface Processes & Landforms, 2024, v. 49, n. 10, p. 3093, doi. 10.1002/esp.5878
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- Article
Reach-Scale Mapping of Surface Flow Velocities from Thermal Images Acquired by an Uncrewed Aircraft System along the Sacramento River, California, USA.
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- Water (20734441), 2024, v. 16, n. 13, p. 1870, doi. 10.3390/w16131870
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- Article
Integrating Depth Measurements From Gaging Stations With Image Archives for Spectrally Based Remote Sensing of River Bathymetry.
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- Water Resources Research, 2024, v. 60, n. 7, p. 1, doi. 10.1029/2024WR037295
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- Article
Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images.
- Published in:
- Frontiers in Remote Sensing, 2024, p. 1, doi. 10.3389/frsen.2024.1305991
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- Article
A framework to facilitate development and testing of image‐based river velocimetry algorithms.
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- Earth Surface Processes & Landforms, 2024, v. 49, n. 4, p. 1361, doi. 10.1002/esp.5772
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- Article
The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA).
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- River Research & Applications, 2023, v. 39, n. 8, p. 1457, doi. 10.1002/rra.4147
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- Article
Moving Aircraft River Velocimetry (MARV): Framework and Proof‐of‐Concept on the Tanana River.
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- Water Resources Research, 2023, v. 59, n. 2, p. 1, doi. 10.1029/2022WR033822
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- Article
Evaluating the Sensitivity of Multi‐Dimensional Model Predictions of Salmon Habitat to the Source of Remotely Sensed River Bathymetry.
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- Water Resources Research, 2022, v. 58, n. 12, p. 1, doi. 10.1029/2022WR033097
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- Article
Remote Sensing of Visible Dye Concentrations During a Tracer Experiment on a Large, Turbid River.
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- Water Resources Research, 2022, v. 58, n. 4, p. 1, doi. 10.1029/2021WR031396
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- Article
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.
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- Remote Sensing, 2022, v. 14, n. 4, p. 953, doi. 10.3390/rs14040953
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- Article
Assessing Marginal Shallow-Water Bathymetric Information Content of Lidar Sounding Attribute Data and Derived Seafloor Geomorphometry.
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- Remote Sensing, 2021, v. 13, n. 9, p. 1604, doi. 10.3390/rs13091604
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- Article
Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions.
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- River Research & Applications, 2021, v. 37, n. 4, p. 531, doi. 10.1002/rra.3771
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- Article
The optical river bathymetry toolkit.
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- River Research & Applications, 2021, v. 37, n. 4, p. 555, doi. 10.1002/rra.3773
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- Article
Application of Satellite Sentinel-2 Images to Study Alternate Sandbars Movement at Lower Vistula River (Poland).
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- Remote Sensing, 2021, v. 13, n. 8, p. 1505, doi. 10.3390/rs13081505
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- Article
Contribution of Snow-Melt Water to the Streamflow over the Three-River Headwater Region, China.
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- Remote Sensing, 2021, v. 13, n. 8, p. 1585, doi. 10.3390/rs13081585
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- Article
Simulation of Lake Water Volume in Ungauged Terminal Lake Basin Based on Multi-Source Remote Sensing.
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- Remote Sensing, 2021, v. 13, n. 4, p. 697, doi. 10.3390/rs13040697
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- Article
Assessing the potential for spectrally based remote sensing of salmon spawning locations.
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- River Research & Applications, 2020, v. 36, n. 8, p. 1618, doi. 10.1002/rra.3690
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- Article
Measuring channel planform change from image time series: A generalizable, spatially distributed, probabilistic method for quantifying uncertainty.
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- Earth Surface Processes & Landforms, 2020, v. 45, n. 11, p. 2727, doi. 10.1002/esp.4926
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- Article
Editorial for the Special Issue "Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge".
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- 2020
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- Editorial
Inferring Surface Flow Velocities in Sediment-Laden Alaskan Rivers from Optical Image Sequences Acquired from a Helicopter.
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- Remote Sensing, 2020, v. 12, n. 8, p. 1282, doi. 10.3390/rs12081282
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- Article
An Experimental Evaluation of the Feasibility of Inferring Concentrations of a Visible Tracer Dye from Remotely Sensed Data in Turbid Rivers.
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- Remote Sensing, 2020, v. 12, n. 1, p. 57, doi. 10.3390/rs12010057
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- Article
Physical Controls on Salmon Redd Site Selection in Restored Reaches of a Regulated, Gravel‐Bed River.
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- Water Resources Research, 2019, v. 55, n. 11, p. 8942, doi. 10.1029/2018WR024428
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- Article
sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar.
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- Remote Sensing, 2019, v. 11, n. 19, p. 2317, doi. 10.3390/rs11192317
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- Article
Defining the Limits of Spectrally Based Bathymetric Mapping on a Large River.
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- Remote Sensing, 2019, v. 11, n. 6, p. 665, doi. 10.3390/rs11060665
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- Article
Remote Sensing of River Bathymetry: Evaluating a Range of Sensors, Platforms, and Algorithms on the Upper Sacramento River, California, USA.
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- Water Resources Research, 2019, v. 55, n. 3, p. 2142, doi. 10.1029/2018WR023586
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- Article
Sampling Strategies to Improve Passive Optical Remote Sensing of River Bathymetry.
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- Remote Sensing, 2018, v. 10, n. 6, p. 935, doi. 10.3390/rs10060935
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- Article
Removing sun glint from optical remote sensing images of shallow rivers.
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- Earth Surface Processes & Landforms, 2017, v. 42, n. 2, p. 318, doi. 10.1002/esp.4063
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- Article
Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations.
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- Earth Surface Processes & Landforms, 2016, v. 41, n. 14, p. 2111, doi. 10.1002/esp.3977
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- Article
Inferring river bathymetry via Image-to-Depth Quantile Transformation (IDQT).
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- Water Resources Research, 2016, v. 52, n. 5, p. 3722, doi. 10.1002/2016WR018730
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- Article
Evaluating the capabilities of the CASI hyperspectral imaging system and Aquarius bathymetric LiDAR for measuring channel morphology in two distinct river environments.
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- Earth Surface Processes & Landforms, 2016, v. 41, n. 3, p. 344, doi. 10.1002/esp.3794
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- Article
Calibrating remotely sensed river bathymetry in the absence of field measurements: Flow REsistance Equation- Based Imaging of River Depths (FREEBIRD).
- Published in:
- Water Resources Research, 2015, v. 51, n. 4, p. 2865, doi. 10.1002/2014WR016624
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- Article
Mapping River Bathymetry With a Small Footprint Green LiDAR: Applications and Challenges<sup>1</sup> Mapping River Bathymetry With a Small Footprint Green LiDAR: Applications and Challenges.
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- Journal of the American Water Resources Association, 2013, v. 49, n. 1, p. 183, doi. 10.1111/jawr.12008
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- Article
Remote measurement of river morphology via fusion of LiDAR topography and spectrally based bathymetry.
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- Earth Surface Processes & Landforms, 2012, v. 37, n. 5, p. 499, doi. 10.1002/esp.2262
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- Publication type:
- Article
Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 2. Application to hyperspectral image data from the Platte River.
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- Water Resources Research, 2011, v. 47, n. 9, p. n/a, doi. 10.1029/2011WR010592
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- Article
Evaluating the potential for remote bathymetric mapping of a turbid, sand-bed river: 1. Field spectroscopy and radiative transfer modeling.
- Published in:
- Water Resources Research, 2011, v. 47, n. 9, p. n/a, doi. 10.1029/2011WR010591
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- Article
Spectrally based remote sensing of river bathymetry.
- Published in:
- Earth Surface Processes & Landforms, 2009, v. 34, n. 8, p. 1039, doi. 10.1002/esp.1787
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- Article
Spatial prediction of river channel topography by kriging.
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- Earth Surface Processes & Landforms, 2008, v. 33, n. 6, p. 841, doi. 10.1002/esp.1579
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- Publication type:
- Article
Spectrally Driven Classification of High Spatial Resolution, Hyperspectral Imagery: A Tool for Mapping In-Stream Habitat.
- Published in:
- Environmental Management, 2003, v. 32, n. 3, p. 399, doi. 10.1007/s00267-003-0034-1
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- Article
Effects of Sensor Resolution on Mapping In-Stream Habitats.
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- Photogrammetric Engineering & Remote Sensing, 2002, v. 68, n. 8, p. 801
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- Article