首页> 外文会议>Fifth international airborne remote sensing conference and exhibition >WATER QUALITY MONITORING OF LAKES IN BERLIN, GERMANY, USING AIRBORNE REMOTE SENSINGTECHNIQUES
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WATER QUALITY MONITORING OF LAKES IN BERLIN, GERMANY, USING AIRBORNE REMOTE SENSINGTECHNIQUES

机译:利用机载遥感技术对德国柏林湖的水质进行监测

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Water is one of the most important resources for life on Earth and thus has thernsame relative importance for the city of Berlin. The 3.4 million inhabitants of thisrnmetropolis are supplied with drinking water by its own ground water resourcesrnexclusively. The refill of the ground water is accomplished up to 70 % by the surfacernwaters. The high demand for drinking water requires a water quality based managementrnof both the ground water and the surface water resources. For surface waters the spatialrndistribution of the water quality is often clearly pronounced, however, the recognition isrnsignificant for the resource management.rnWater colour remote sensing provides the necessary information for thernmonitoring of freshwater systems. Present remote sensing techniques covering thernretrieval of water quality related to inland waters open the way to new perspectives inrnmonitoring of freshwater systems routinely which are of great environmental and socialrnimportance for human use.rnIn summer 1995 major lakes in Berlin were overflown several times with thernCompact Airborne Spectrographic Imager (casi) during the period of highest biologicalrnactivity. The acquired data were analysed quantitatively with an adapted neural networkrntechnique for the retrieval of water constituents such as chlorophyll-a, yellow substance,rnand suspended matter. The results reveal spatial and temporal concentration variationsrnwhich are of major importance from the limnologieal and environmental point of view.
机译:水是地球上生命最重要的资源之一,因此对柏林市具有同样的相对重要性。该大都市的340万居民通过自己的地下水资源独家获得饮用水。地表水可以补给多达70%的地下水。对饮用水的高需求要求基于地下水和地表水资源的水质管理。对于地表水,水质的空间分布通常很明显,但是,这种认识对于资源管理来说意义不大。彩色遥感为监测淡水系统提供了必要的信息。目前涵盖与内陆水有关的水质取暖的遥感技术为常规监测淡水系统开辟了新途径,对人类使用具有重大的环境和社会意义。1995年夏季,柏林的主要机载光谱多次淹没了柏林的主要湖泊。生物活性最高的时期的成像仪(casi)。利用自适应神经网络技术对获取的数据进行定量分析,以检索水成分,例如叶绿素a,黄色物质,悬浮物。结果表明,从时间学和环境的角度来看,空间和时间的浓度变化具有重要意义。

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