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Terrestrial Laser Scanning for Delineating In-stream Boulders and Quantifying Habitat Complexity Measures
被引:16
|作者:
Resop, Jonathan P.
[1
]
Kozarek, Jessica L.
[1
]
Hession, W. Cully
[1
]
机构:
[1] Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA USA
来源:
关键词:
SPATIAL HETEROGENEITY;
SURFACE-ROUGHNESS;
FISH ASSEMBLAGES;
TREE CROWNS;
RIVER;
COMMUNITIES;
MORPHOLOGY;
DIVERSITY;
MODELS;
LIDAR;
D O I:
10.14358/PERS.78.4.363
中图分类号:
P9 [自然地理学];
学科分类号:
0705 ;
070501 ;
摘要:
Accurate stream topography measurement is important for many ecological applications such as hydraulic modeling and habitat characterization. Habitat complexity measures are often made using visual approximations or total station (TS) surveying that can be subjective and have limited spatial resolution. Terrestrial laser scanning (TLS) can measure topography at a high resolution and accuracy. Two methods, TS surveying and TLS, were compared for measuring complex topography in a boulder-dominated 100 in forested reach of the Staunton River in Shenandoah National Park, Virginia. The mean absolute difference between the two datasets was 0.11 in with 82.3 percent of the TS data within +/- 0.1 in of TLS. The TLS dataset was processed to remove vegetation and create a 2 cm digital elevation model (DEM). An algorithm was developed for delineating rocks within the stream channel from the DEM. A common ecological metric based on the structural complexity of the stream, percent in-stream rock cover, was calculated from the TLS dataset, and the results were compared to estimates from traditional methods. This application illustrates the potential of TLS to quantify habitat complexity measures in an automated, unbiased manner.
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页码:363 / 371
页数:9
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