遥感技术与GIS建模在康斯坦茨湖沿岸植被监测与评估中的应用

K. Schmieder, Annette Woithon, T. Heege, N. Pinnel
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引用次数: 1

摘要

水下大型植物是湖泊营养状态的优秀生物指标(SCHMIEDER 1997, LEHMANN & LACHAVANNE 1999)。在大型湖泊中,对淹没的大型植物进行全湖范围的调查既耗时又昂贵(ScHMIEDER & LEHMANN 2004)。因此,这种调查的频率往往很低,因此需要采用节省时间的方法来监测和评价湖岸植被。在此背景下,2002-2005年在康斯坦斯湖沿岸地区开展了EFPLUS(开发可自动化遥感过程以有效支持湖岸地区规划方案)项目。第一个目标是从自动化和可转移的遥感过程中提供关于淹没和浮现的大型植物结构的可靠和生态上可解释的信息。第二个目标是将这些资料汇总成水和生境质量的可靠指数,以便在规划程序中提供决策支助。
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Remote sensing techniques and GIS modeling for monitoring and assessing the littoral vegetation at Lake Constance
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 o f for monitoring and assessment of lake shore vegetation. Against 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.
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