Comparison of gully erosion estimates using airborne and ground-based LiDAR on Santa Cruz Island, California

被引:181
作者
Perroy, Ryan L. [1 ]
Bookhagen, Bodo [2 ]
Asner, Gregory P. [3 ]
Chadwick, Oliver A. [2 ]
机构
[1] Univ Wisconsin La Crosse, Dept Geog & Earth Sci, La Crosse, WI USA
[2] UC Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
[3] Carnegie Inst, Dept Global Ecol, Stanford, CA 94305 USA
基金
美国国家环境保护局;
关键词
Erosion; Gully; LiDAR; Volume estimates; Mediterranean climate; SOIL-EROSION; CLIMATE-CHANGE; DEFORMATION MEASUREMENTS; SEDIMENT BUDGET; CHANNEL CHANGE; CATCHMENT; IMPACTS; RATES; RIVER; INFORMATION;
D O I
10.1016/j.geomorph.2010.01.009
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Gully erosion removes comparatively large volumes of soil from small areas. It is often difficult to quantify the loss of soil because the footprint of individual gullies is too small to be captured by most generally available digital elevation models (DEMs), such as the USGS National Elevation Dataset. Airborne LiDAR (Light Detection and Ranging) has the potential to provide the required data density, but an even newer class of ground-based sensors may provide better local resolution at lower cost. In this study, we compared digital elevation models produced by airborne and ground-based LiDAR systems with ground-based geomorphic and geodetic survey data to determine their utility in quantifying volumetric soil loss due to gully erosion in a heavily degraded watershed (7.55 x 10(-2) km(2)), on southwestern Santa Cruz Island in southern California. Volumetric estimates of the eroded sediment were produced by comparing the LiDAR-derived DEMs of the gully system to a modeled pre-erosion surface. Average point densities were significantly higher for the ground-based LiDAR system and provided more detailed information; however, its limited scanning footprint and side-looking orientation presented serious challenges in collecting continuous data from deeply incised gullies, making the airborne system preferable for this type of investigation and likely for most applications where heavy topographic shadowing is prevalent. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:288 / 300
页数:13
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