IDENTIFICATION OF FLUVIAL WOOD USING GOOGLE EARTH

被引:23
作者
Atha, J. B. [1 ]
机构
[1] Univ Oregon, Dept Geog, Eugene, OR 97403 USA
基金
美国国家科学基金会;
关键词
large wood; fluvial geomorphology; Google Earth; remote sensing of rivers; MOUNTAIN STREAMS; FOREST STREAMS; DEBRIS; WASHINGTON; RIVERS; USA; MORPHOLOGY; DYNAMICS; PATTERNS; HABITAT;
D O I
10.1002/rra.2683
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Fluvial wood has long been known to enhance stream complexity by creating aquatic habitat and by increasing complexity in channel hydraulics and morphology. Although the presence and dynamics of large wood in river floodplains have been studied in a multitude of settings due to its importance in monitoring and managing ecohydrologic systems, limitations occur when studying fluvial wood on a basin scale. I postulate that with the employment of Google Earth, satellite images may be used to identify large wood and measure floodplain width across broader spatial scales previously inhibited by expensive and incomplete geospatial data. In this study, large wood was correctly identified within the floodplain of the Queets River, Washington, USA, through Google Earth; however, correct identification within the wetted channel was only possible during low flow if at least 50% was above water level. Within the study area, fluvial channel widths are measured as well. Google Earth proves to be an effective tool to discern large wood across greater spatial scales if the high-resolution imagery is available for the study area. Results of statistical analyses derived from the downstream hydraulic geometry of the river reveal that this channel is influenced by bankfull width, the orientation of the wood to the channel, and whether it is located on a bar or within the wetted channel. In addition, wood counts analyzed in the context of the geometry of the river indicate that the fluvial wood has an influence on overall channel behavior. Copyright (C) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:857 / 864
页数:8
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