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Removing sun glint from optical remote sensing images of shallow rivers

Earth surface processes and landforms, 2017-02, Vol.42 (2), p.318-333

2017

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River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.5250-5260

2022

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Mapping spatial patterns of stream power and channel change along a gravel-bed river in northern Yellowstone

Geomorphology (Amsterdam, Netherlands), 2016-01, Vol.252, p.66-79

2016

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Spectrally based remote sensing of river bathymetry

Earth surface processes and landforms, 2009-06, Vol.34 (8), p.1039-1059

2009

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Spatial prediction of river channel topography by kriging

Earth surface processes and landforms, 2008-05, Vol.33 (6), p.841-867

2008

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A framework to facilitate development and testing of image‐based river velocimetry algorithms

Earth surface processes and landforms, 2024-03, Vol.49 (4), p.1361-1382

2024

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A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV)

Earth surface processes and landforms, 2024-08, Vol.49 (10), p.3093-3114

2024

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Characterizing spatial variability in velocity and turbulence intensity using 3-D acoustic Doppler velocimeter data in a plane-bed reach of East St. Louis Creek, Colorado, USA

Geomorphology (Amsterdam, Netherlands), 2013-02, Vol.183, p.28-44

2013

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Refining measurements of lateral channel movement from image time series by quantifying spatial variations in registration error

Geomorphology (Amsterdam, Netherlands), 2016-04, Vol.258, p.11-20

2016

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Measuring channel planform change from image time series: A generalizable, spatially distributed, probabilistic method for quantifying uncertainty

Earth surface processes and landforms, 2020-09, Vol.45 (11), p.2727-2744

2020

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Evaluating the capabilities of the CASI hyperspectral imaging system and Aquarius bathymetric LiDAR for measuring channel morphology in two distinct river environments

Earth surface processes and landforms, 2016-03, Vol.41 (3), p.344-363

2016

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Spectrally based mapping of riverbed composition

Geomorphology (Amsterdam, Netherlands), 2016-07, Vol.264, p.61-79

2016

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Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations

Earth surface processes and landforms, 2016-11, Vol.41 (14), p.2111-2122

2016

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Introduction to the special issue: The field tradition in geomorphology

Geomorphology (Amsterdam, Netherlands), 2013-10, Vol.200, p.1-8

2013

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Early Results of Simultaneous Terrain and Shallow Water Bathymetry Mapping Using a Single-Wavelength Airborne LiDAR Sensor

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-02, Vol.7 (2), p.623-635

2014

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Remote measurement of river morphology via fusion of LiDAR topography and spectrally based bathymetry

Earth surface processes and landforms, 2012-04, Vol.37 (5), p.499-518

Legleiter, Carl J.

2012

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High spatial resolution hyperspectral mapping of in-stream habitats, depths, and woody debris in mountain streams

Geomorphology (Amsterdam, Netherlands), 2003-09, Vol.55 (1), p.363-380

2003

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A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 1. Variogram models, related metrics, and relation to channel form

Geomorphology (Amsterdam, Netherlands), 2014-01, Vol.205, p.65-84

Legleiter, Carl J.

2014

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Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic

International journal of geographical information science : IJGIS, 2005-01, Vol.19 (1), p.29-50

2005

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A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 2. Application to restored and natural channels

Geomorphology (Amsterdam, Netherlands), 2014-01, Vol.205, p.85-101

Legleiter, Carl J.

2014

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Geostatistical analysis of the effects of stage and roughness on reach-scale spatial patterns of velocity and turbulence intensity

Geomorphology (Amsterdam, Netherlands), 2007-01, Vol.83 (3), p.322-345

2007

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Removing sun glint from optical remote sensing images of shallow rivers

River Bathymetry Retrieval From Landsat-9 Images Based on Neural Networks and Comparison to SuperDove and Sentinel-2

Mapping spatial patterns of stream power and channel change along a gravel-bed river in northern Yellowstone

Spectrally based remote sensing of river bathymetry

Spatial prediction of river channel topography by kriging

A framework to facilitate development and testing of image‐based river velocimetry algorithms

A two‐dimensional, reach‐scale implementation of space‐time image velocimetry (STIV) and comparison to particle image velocimetry (PIV)

Characterizing spatial variability in velocity and turbulence intensity using 3-D acoustic Doppler velocimeter data in a plane-bed reach of East St. Louis Creek, Colorado, USA

Refining measurements of lateral channel movement from image time series by quantifying spatial variations in registration error

Measuring channel planform change from image time series: A generalizable, spatially distributed, probabilistic method for quantifying uncertainty

Evaluating the capabilities of the CASI hyperspectral imaging system and Aquarius bathymetric LiDAR for measuring channel morphology in two distinct river environments

Spectrally based mapping of riverbed composition

Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations

Introduction to the special issue: The field tradition in geomorphology

Early Results of Simultaneous Terrain and Shallow Water Bathymetry Mapping Using a Single-Wavelength Airborne LiDAR Sensor

Remote measurement of river morphology via fusion of LiDAR topography and spectrally based bathymetry

High spatial resolution hyperspectral mapping of in-stream habitats, depths, and woody debris in mountain streams

A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 1. Variogram models, related metrics, and relation to channel form

Alternative representations of in-stream habitat: classification using remote sensing, hydraulic modeling, and fuzzy logic

A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 2. Application to restored and natural channels

Geostatistical analysis of the effects of stage and roughness on reach-scale spatial patterns of velocity and turbulence intensity

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