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ACOLITE FOR SENTINEL-2: AQUATIC APPLICATIONS OF MSI IMAGERY

机译:SENTINEL-2的丙烯酸盐:MSI影像的水生应用

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Here we present the application of Sentinel-2 imagery for coastal and inland waters, and the ACOLITE processor and atmospheric correction developed in the EC-FP7 HIGHROC project. The MultiSpectral Imager (MSI) on board of Sentinel-2 has a pair of 20 m SWIR bands at 1.6 and 2.2 μm, allowing for a robust image-based atmospheric correction, even over extremely turbid waters. One of the main advantages of Sentinel-2 over Landsat-8 is the inclusion of a 20 m resolution red-edge band at around 705 nm, allowing for the determination of chlorophyll a absorption in turbid and productive waters, where open ocean blue-green ratio algorithms fail. MSI has red (665 nm) and NIR (842 nm) bands at 10 m spatial resolution, allowing for the retrieval of turbidity or suspended particulate matter concentration, even in narrow inlets and ports. This makes it an invaluable dataset for validating sediment transport models that are needed for optimization of dredging operations and coastal defence around ports. The spectral, spatial, and radiometric resolutions of Sentinel-2 and Landsat-8 are compared and discussed. For many aquatic applications these missions will typically be combined as a virtual constellation to improve temporal coverage. We provide here one example of using both sensors to track a cyanobacterial bloom in an Australian lake.
机译:在这里,我们介绍了Sentinel-2图像在沿海和内陆水域的应用,以及在EC-FP7 HIGHROC项目中开发的ACOLITE处理器和大气校正。 Sentinel-2板上的MultiSpectral Imager(MSI)在1.6和2.2μm处有一对20 m的SWIR波段,即使在非常浑浊的水域上也可以进行基于图像的强大大气校正。 Sentinel-2优于Landsat-8的主要优点之一是在705 nm处包含了分辨率为20 m的红边带,可用于确定混浊和生产性水中的叶绿素a吸收,在这里,开阔的海洋呈蓝绿色比率算法失败。 MSI在10 m的空间分辨率上具有红色(665 nm)和NIR(842 nm)波段,即使在狭窄的入口和端口中,也可以恢复浊度或悬浮的颗粒物浓度。这使其成为验证沉积物运输模型的宝贵数据集,这些模型对于优化疏ports作业和港口附近的海岸防卫所必需的。比较并讨论了Sentinel-2和Landsat-8的光谱,空间和辐射分辨率。对于许多水生应用而言,这些任务通常将被组合为一个虚拟星座,以改善时间覆盖范围。我们在这里提供一个示例,说明使用这两种传感器来跟踪澳大利亚湖中的蓝藻水华。

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