用高光谱技术测绘水下水生植被

H. Ripley, D. Dobberfuhl, C. Hart
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引用次数: 4

摘要

圣约翰河位于佛罗里达州,是当地社区的重要资源。该河流系统由圣约翰河水管理区(SJRWMD)管理。这条河支持水下植被(SAV)的大量生长,这些植被是生态系统健康的良好指标,为许多动物提供了食物和苗圃。此外,SAV还为河流增加了溶解氧。值得注意的是,植被区支持的无脊椎动物几乎是裸地的三倍,SAV改善了沉积物和水柱中无脊椎动物的栖息地质量。因此,作为一种管理工具,能够检测和绘制SAV的位置和范围是非常重要的。然而,河流系统被归类为暗水河流,很难透过水柱看到。2003年进行了一个使用机载高光谱方法的试点项目,以确定使用该方法绘制SAV的有效性。结果非常令人鼓舞,随后在2006年、2008年和2009年进行了业务调查。本文将讨论所使用的方法,并将提供来自最近调查的样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping submerged aquatic vegetation with hyperspectral techniques
The Saint John River is located in Florida and is a vital resource to the local community. The river system is managed by the Saint John River Water Management District (SJRWMD). The river supports a considerable growth of submerged underwater vegetation (SAV) and this vegetation is a good indicator of ecosystem health and provides feeding and nursery grounds for many animals. In addition the SAV adds dissolved oxygen to the river. It is important to note that the vegetated areas support almost three times the invertebrates as bare areas and SAV improves the habitat quality for invertebrates in both the sediment and water column. It is therefore very important as a management tool to be able to detect and map the location and extent of the SAV. However the river system is classed as a dark water river and it is very difficult to see through the water column. A pilot project using airborne hyperspectral methodology was conducted in 2003 to determine the effectiveness of using this method to map the SAV. The results were very encouraging and subsequent operational surveys have been conducted in 2006, 2008 and 2009. This paper will discuss the methodology used and will provide samples from the recent surveys.
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