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Remote sensing techniques and GIS modeling for monitoring and assessing the littoral vegetation at Lake Constance

机译:用于监测和评估康斯坦茨湖沿海植被的遥感技术和GIS建模

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摘要

Submersed macrophytes are excellent bioindicators of the trophic state of a lake (Schmieder 1997, Lehmann & Lachavanne 1999). In large lakes, lake-wide investigations of submersed macrophytes are time consuming and expensive (Schmieder & Lehmann 2004). Consequently, there is often a low frequency of such investigations, generating a need for time saving methods of for monitoring and assessment of lake shore vegetation.rnAgainst this background, the EFPLUS (development of automatable remote sensing processes to effectively support planning schemes for lake shore areas) project was performed in 2002-2005 on the Lake Constance littoral zone. The first objective was to provide reliable and ecologically interpretable information on submersed and emersed macrophyte structures from automated and transferable remote sensing processes. The second objective was to aggregate this information into capable indices of water and habitat quality for decision support in planning procedures.
机译:浸没的大型植物是湖泊营养状态的极佳生物指示剂(Schmieder 1997,Lehmann&Lachavanne 1999)。在大型湖泊中,全湖范围内对沉没植物的调查既耗时又昂贵(Schmieder&Lehmann 2004)。因此,此类调查的频率通常较低,因此需要用于监视和评估湖岸植被的节省时间的方法。rn在这种背景下,EFPLUS(开发了自动遥感过程以有效支持湖岸规划方案地区)项目是在2002-2005年在康斯坦茨湖沿海地区进行的。第一个目标是从自动化和可转移的遥感过程中提供有关淹没和浮出的大型植物结构的可靠且生态可解释的信息。第二个目标是将这些信息汇总为水和栖息地质量的有效指标,以在规划程序中提供决策支持。

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