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COMPARISON OF ATMOSPHERIC PARAMETERS DERIVED FROM IN-SITU AND HYPER-/MULTISPECTRAL REMOTE SENSING DATA OF BEAUTIFUL BAVARIAN LAKES

机译:美丽巴伐利亚湖原位与超/多光谱遥感数据大气参数对比

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摘要

Atmospheric correction is a critical step and can be a limiting factor in the extraction of aquatic ecosystem parameters from remote sensing data of coastal and lake waters. Atmospheric correction models commonly in use for open ocean water and land surfaces can lead to large errors when applied to hyperspectral images taken from satellite or aircraft. The main problems arise from uncertainties in aerosol parameters and neglecting the adjacency effect, which originates from multiple scattering of upwelling radiance from the surrounding land. To better understand the challenges for developing an atmospheric correction model suitable for lakes, we compare atmospheric parameters derived from Sentinel-2A and airborne hyperspectral data (HySpex) of two Bavarian lakes (Klostersee, Lake Starnberg) with in-situ measurements performed with RAMSES and Ibsen spectrometer systems and a Microtops sun photometer.
机译:大气校正是至关重要的一步,并且可能是从沿海和湖泊水域遥感数据中提取水生生态系统参数的限制因素。当将其应用于从卫星或飞机上获取的高光谱图像时,通常用于开阔海水和陆地表面的大气校正模型会导致较大的误差。主要问题来自气溶胶参数的不确定性和忽略邻近效应,其源于周围土地上升流辐射的多次散射。为了更好地理解开发适用于湖泊的大气校正模型所面临的挑战,我们比较了Sentinel-2A和两个巴伐利亚湖(Klostersee,Starnberg湖)的机载高光谱数据(HySpex)的大气参数,并使用RAMSES和易卜生光谱仪系统和Mi​​crotops太阳光度计。

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  • 会议地点 Prague(CZ)
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    Kiel University, Earth Observation and Modelling, Kiel University, Department of Geography Ludewig-Meyn-Str. 14, 24098 Kiel, Germany, Email: riedel@geographie.uni-kiel.de;

    German Aerospace Center (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, Münchener Str. 20, 82234 Weßling (Germany), Email: peter.gege@dlr.de;

    German Aerospace Center (DLR), Remote Sensing Technology Institute, Oberpfaffenhofen, Münchener Str. 20, 82234 Weßling (Germany) mathias.schneider@dlr.de;

    German Aerospace Center, Remote Sensing Technology Institute, Rutherfordstr. 2, 12489 Berlin-Adlershof (Germany), Email: bringfried.pflug@dlr.de;

    Kiel University, Earth Observation and Modelling, Kiel University, Department of Geography Ludewig-Meyn-Str. 14, 24098 Kiel, Germany oppelt@geographie.uni-kiel.de;

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