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Mapping River Bathymetry With a Small Footprint Green LiDAR: Applications and Challenges

Authors

  • Paul J. Kinzel,

    1. Respectively, Hydrologist (Kinzel and Nelson), U.S. Geological Survey, Geomorphology and Sediment Transport Laboratory, 4620 Technology Drive, Suite 400, Golden, Colorado 80403
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  • Carl J. Legleiter,

    1. Assistant Professor (Legleiter), Department of Geography, University of Wyoming, Laramie, Wyoming 82071
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  • Jonathan M. Nelson

    1. Respectively, Hydrologist (Kinzel and Nelson), U.S. Geological Survey, Geomorphology and Sediment Transport Laboratory, 4620 Technology Drive, Suite 400, Golden, Colorado 80403
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  • Paper No. JAWRA-12-0109-P of the Journal of the American Water Resources Association (JAWRA). This article is a U.S. Government work and is in the public domain in the USA Discussions are open until six months from print publication.

(E-Mail/Kinzel: pjkinzel@usgs.gov).

Abstract

Kinzel, Paul J., Carl J. Legleiter, and Jonathan M. Nelson, 2012. Mapping River Bathymetry with a Small Footprint Green LiDAR: Applications and Challenges. Journal of the American Water Resources Association (JAWRA) 1-22. DOI: 10.1111/jawr.12008

Abstract:  Airborne bathymetric Light Detection And Ranging (LiDAR) systems designed for coastal and marine surveys are increasingly sought after for high-resolution mapping of fluvial systems. To evaluate the potential utility of bathymetric LiDAR for applications of this kind, we compared detailed surveys collected using wading and sonar techniques with measurements from the United States Geological Survey’s hybrid topographic/bathymetric Experimental Advanced Airborne Research LiDAR (EAARL). These comparisons, based upon data collected from the Trinity and Klamath Rivers, California, and the Colorado River, Colorado, demonstrated that environmental conditions and postprocessing algorithms can influence the accuracy and utility of these surveys and must be given consideration. These factors can lead to mapping errors that can have a direct bearing on derivative analyses such as hydraulic modeling and habitat assessment. We discuss the water and substrate characteristics of the sites, compare the conventional and remotely sensed river-bed topographies, and investigate the laser waveforms reflected from submerged targets to provide an evaluation as to the suitability and accuracy of the EAARL system and associated processing algorithms for riverine mapping applications.

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