Remote mapping of river channel morphology
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Remote Mapping of River Channel Morphology. March 9, 2003 Carl J. Legleiter Geography Department University of California Santa Barbara. Acknowledgements. Collaborators Dar Roberts and Tom Dunne, UCSB Mark Fonstad, Southwest Texas State University Andrew Marcus, University of Oregon

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Remote Mapping of River Channel Morphology

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Remote mapping of river channel morphology

Remote Mapping of River Channel Morphology

March 9, 2003

Carl J. Legleiter

Geography Department

University of California Santa Barbara


Acknowledgements

Acknowledgements

  • Collaborators

    • Dar Roberts and Tom Dunne, UCSB

    • Mark Fonstad, Southwest Texas State University

    • Andrew Marcus, University of Oregon

    • Robert Crabtree and Kerry Halligan, Yellowstone Ecological Research Center

    • Annie Toth, Jim Rasmussen, Rob Ahl, Seth Peterson

  • Funding agencies

    • NASA Earth Observation Commercial Applications Program - Hyperspectral

    • NASA Jet Propulsion Laboratory

    • California Space Institute

    • American Society for Engineering Education

    • National Science Foundation


Presentation outline

Project rationale

Significance of river channel morphology

Role of remote sensing

Methodology

Laboratory spectra / numerical simulation

Hyperspectral image analysis

Radiative transfer modeling

Accuracy assessment / sensitivity analysis

Anticipated results

Flexible model for estimating depth from imagery

Identify potential and limitations of remote approach

Broader impacts

Applications in geomorphology and ecology

Powerful tool for resource management

Presentation outline


River channel morphology and the role of remote sensing

River channel morphology and the role of remote sensing

  • Channel morphology

    • establishes physical habitat conditions

    • influences flow processes and sediment transport

    • responds sensitively to disturbance impacts

    • requires an accurate, quantitative, and spatially explicit descriptive framework

  • Remote sensing

    • provides expanded coverage

    • captures spatial and temporal variations

    • allows analysis across a range of scales


Spectral properties of streams measurement and modeling

Spectral properties of streams: measurement and modeling

  • Signal recorded by sensor influenced by

    • water depth

    • substrate characteristics

    • suspended sediment

    • surface turbulence

    • viewing and illumination geometry

  • Direct spectral measurements

    • Depth, substrate, image geometry

  • Numerical simulation

    • Suspended sediment, specular reflectance


Hydraulic hyperspectral analysis

Hydraulic / hyperspectral analysis

  • Data sources

    • AVIRIS hyperspectral imagery

    • USGS streamflow records

  • Theoretical basis

    • Manning’s equation

      Q = AR2/3S1/2/n

    • Radiative transfer models

  • Solution technique

    • Iteratively adjust model parameters to match measured discharge


Model evaluation

Model evaluation

  • Accuracy assessment

    • AVIRIS scenes excluded from model-building

    • Probe-1 hyperspectral imagery and field data from Lamar River, WY

  • Sensitivity analyses to quantify effects of

    • suspended sediment

    • substrate variability

    • channel complexity

    • sensor resolution

  • Goal: identify appropriate conditions and define limitations


Anticipated results

Anticipated Results

  • Laboratory spectral library

    • depth, substrate, image geometry

  • Radiative transfer model for estimating depth from imagery

    • flexible and physically-based

  • Quantitative analysis of potential and limitations

    • critical assessment of the technique

  • Continuous bathymetric maps

    • detailed, spatially extensive representation of channel morphology


Applications and broader impacts

Applications and broader impacts

  • Fluvial geomorphology

    • process interactions across a range of scales

  • Stream ecology

    • spatial distribution of habitat within watersheds

  • Resource management

    • inventory and monitoring

    • in-stream flow requirements

    • stream restoration

    • flood hazard assessment

  • Preservation efforts

    • maintain geomorphic, biotic, and aesthetic integrity


Conclusion remote mapping of channel morphology

Conclusion: Remote mapping of channel morphology

  • Rationale

    • Ecological significance and vulnerability of streams

    • Remote sensing offers synoptic perspective

  • Methodology

    • lab spectra

    • hyperspectral/hydraulic analysis

    • accuracy assessment

  • Research objectives

    • flexible model for estimating depth

    • document potential and limitations

  • Applications

    • fluvial geomorphology

    • stream ecology

    • resource management


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