Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-4883-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-4883-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Dec 2014
Research article |
| 05 Dec 2014
Quantifying river form variations in the Mississippi Basin using remotely sensed imagery
Z. F. Miller
Department of Geological Sciences, University of North Carolina, Chapel Hill, NC, USA
T. M. Pavelsky
CORRESPONDING AUTHOR
Department of Geological Sciences, University of North Carolina, Chapel Hill, NC, USA
G. H. Allen
Department of Geological Sciences, University of North Carolina, Chapel Hill, NC, USA
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22 citations as recorded by crossref.
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- Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis P. Lin et al. 10.1029/2019GL086405
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States J. Christensen et al. 10.1016/j.earscirev.2022.104230
- Estimating Chemical Footprint on High-resolution Geospatial Grid A. Makarova et al. 10.1016/j.procir.2018.01.001
- Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network F. Ling et al. 10.1029/2018WR024136
- River discharge estimation from radar altimetry: Assessment of satellite performance, river scales and methods E. Zakharova et al. 10.1016/j.jhydrol.2020.124561
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- Assessments of available riverine hydrokinetic energy: a review K. Kirby et al. 10.1139/cjce-2021-0178
- Integrated remote sensing and machine learning tools for estimating ecological flow regimes in tropical river reaches D. Sahoo et al. 10.1016/j.jenvman.2022.116121
- How Have Global River Widths Changed Over Time? D. Feng et al. 10.1029/2021WR031712
- Introducing ICEDAP: An ‘Iterative Coastal Embayment Delineation and Analysis Process’ with Applications for the Management of Coastal Change N. Wellbrock et al. 10.3390/rs15164034
- Patterns of river width and surface area revealed by the satellite‐derived North American River Width data set G. Allen & T. Pavelsky 10.1002/2014GL062764
- Power law scaling model predicts N2O emissions along the Upper Mississippi River basin A. Marzadri et al. 10.1016/j.scitotenv.2020.138390
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- A Hybrid of Optical Remote Sensing and Hydrological Modeling Improves Water Balance Estimation C. Gleason et al. 10.1002/2017MS000986
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- A high-resolution global flood hazard model C. Sampson et al. 10.1002/2015WR016954
- Development of the Global Width Database for Large Rivers D. Yamazaki et al. 10.1002/2013WR014664
18 citations as recorded by crossref.
- MorphEst: An Automated Toolbox for Measuring Estuarine Planform Geometry from Remotely Sensed Imagery and Its Application to the South Korean Coast N. Jung et al. 10.3390/rs13020330
- Global extent of rivers and streams G. Allen & T. Pavelsky 10.1126/science.aat0636
- Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. 10.5194/essd-11-1003-2019
- Controls of channel morphology and sediment concentration on flow resistance in a large sand-bed river: A case study of the lower Yellow River Y. Ma & H. Huang 10.1016/j.geomorph.2016.03.035
- Assessing the palaeohydrology of the lost Saraswati River in the Punjab-Haryana plains, Northwest India from satellite data Z. Beg et al. 10.1016/j.palaeo.2021.110716
- Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis P. Lin et al. 10.1029/2019GL086405
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States J. Christensen et al. 10.1016/j.earscirev.2022.104230
- Estimating Chemical Footprint on High-resolution Geospatial Grid A. Makarova et al. 10.1016/j.procir.2018.01.001
- Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network F. Ling et al. 10.1029/2018WR024136
- River discharge estimation from radar altimetry: Assessment of satellite performance, river scales and methods E. Zakharova et al. 10.1016/j.jhydrol.2020.124561
- Review and outlook of river morphology expression Z. Li et al. 10.2166/wcc.2022.449
- Assessments of available riverine hydrokinetic energy: a review K. Kirby et al. 10.1139/cjce-2021-0178
- Integrated remote sensing and machine learning tools for estimating ecological flow regimes in tropical river reaches D. Sahoo et al. 10.1016/j.jenvman.2022.116121
- How Have Global River Widths Changed Over Time? D. Feng et al. 10.1029/2021WR031712
- Introducing ICEDAP: An ‘Iterative Coastal Embayment Delineation and Analysis Process’ with Applications for the Management of Coastal Change N. Wellbrock et al. 10.3390/rs15164034
- Patterns of river width and surface area revealed by the satellite‐derived North American River Width data set G. Allen & T. Pavelsky 10.1002/2014GL062764
- Power law scaling model predicts N2O emissions along the Upper Mississippi River basin A. Marzadri et al. 10.1016/j.scitotenv.2020.138390
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. 10.1016/j.rse.2020.111918
4 citations as recorded by crossref.
- A Hybrid of Optical Remote Sensing and Hydrological Modeling Improves Water Balance Estimation C. Gleason et al. 10.1002/2017MS000986
- Assimilation of satellite data to optimize large-scale hydrological model parameters: a case study for the SWOT mission V. Pedinotti et al. 10.5194/hess-18-4485-2014
- A high-resolution global flood hazard model C. Sampson et al. 10.1002/2015WR016954
- Development of the Global Width Database for Large Rivers D. Yamazaki et al. 10.1002/2013WR014664
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Latest update: 18 Apr 2024
Short summary
Many previous studies have used stream gauge data to estimate patterns of river width and depth based on variations in river discharge. However, these relationships may not capture all of the actual variability in width and depth. We have instead mapped the widths of all of the rivers wider than 100 m (and many narrower) in the Mississippi Basin and then used them to also improve estimates of depth as well. Our results show width and depth variations not captured by power-law relationships.
Many previous studies have used stream gauge data to estimate patterns of river width and depth...
