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

被引:94
作者
Kinzel, Paul J. [1 ]
Legleiter, Carl J. [2 ]
Nelson, Jonathan M. [1 ]
机构
[1] US Geol Survey, Geomorphol & Sediment Transport Lab, Golden, CO 80403 USA
[2] Univ Wyoming, Dept Geog, Laramie, WY 82071 USA
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2013年 / 49卷 / 01期
关键词
geographic information system; geomorphology; LiDAR; remote sensing; watershed management; PROCESSING METHODS; HABITAT; MORPHOLOGY; SHALLOW; TOPOGRAPHY; IMAGERY; ERRORS;
D O I
10.1111/jawr.12008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:183 / 204
页数:22
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