Müller Gabriele, Stelzer Kerstin, Smollich Susan, Gade Martin, Adolph Winny, Melchionna Sabrina, Kemme Linnea, Geißler Jasmin, Millat Gerald, Reimers Hans-Christian, Kohlus Jörn, Eskildsen Kai
Schleswig-Holstein Agency for Coastal Defence, National Park and Marine Conservation, National Park Authority, Schlossgarten 1, 25832, Tönning, Germany.
Brockmann Consult GmbH, Max-Planck-Straße 2, 21502, Geesthacht, Germany.
Environ Monit Assess. 2016 Oct;188(10):595. doi: 10.1007/s10661-016-5591-x. Epub 2016 Sep 28.
The Wadden Sea along the North Sea coasts of Denmark, Germany, and the Netherlands is the largest unbroken system of intertidal sand and mud flats in the world. Its habitats are highly productive and harbour high standing stocks and densities of benthic species, well adapted to the demanding environmental conditions. Therefore, the Wadden Sea is one of the most important areas for migratory birds in the world and thus protected by national and international legislation, which amongst others requires extensive monitoring. Due to the inaccessibility of major areas of the Wadden Sea, a classification approach based on optical and radar remote sensing has been developed to support environmental monitoring programmes. In this study, the general classification framework as well as two specific monitoring cases, mussel beds and seagrass meadows, are presented. The classification of mussel beds profits highly from inclusion of radar data due to their rough surface and achieves agreements of up to 79 % with areal data from the regular monitoring programme. Classification of seagrass meadows reaches even higher agreements with monitoring data (up to 100 %) and furthermore captures seagrass densities as low as 10 %. The main classification results are information on area and location of individual habitats. These are needed to fulfil environmental legislation requirements. One of the major advantages of this approach is the large areal coverage with individual satellite images, allowing simultaneous assessment of both accessible and inaccessible areas and thus providing a more complete overall picture.
丹麦、德国和荷兰北海沿岸的瓦登海是世界上最大的潮间带沙滩和泥滩连续系统。其栖息地生产力极高,栖息着大量底栖生物,这些生物很好地适应了苛刻的环境条件。因此,瓦登海是世界上候鸟最重要的栖息地之一,受到国家和国际法律的保护,其中包括要求进行广泛监测。由于瓦登海的大部分区域难以进入,已开发出一种基于光学和雷达遥感的分类方法来支持环境监测计划。在本研究中,展示了一般分类框架以及两个具体的监测案例,即贻贝床和海草草甸。贻贝床的分类由于其表面粗糙,高度受益于雷达数据的纳入,与常规监测计划的面积数据达成了高达79%的一致性。海草草甸的分类与监测数据的一致性更高(高达100%),并且还能捕捉到低至10%的海草密度。主要分类结果是关于各个栖息地的面积和位置的信息。这些信息是满足环境立法要求所必需的。这种方法的主要优点之一是单个卫星图像的大面积覆盖,允许同时评估可进入和不可进入的区域,从而提供更完整的总体情况。