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Mariana A Soppa, Maximilian Brell, Sabine Chabrillat

|November 14, 2024

概括

这项研究验证了EnMAP的有效性.

科学领域:

地球观测地球观测
海洋光学海洋光学
遥感遥感遥感遥感

背景情况:

环境绘图和分析计划 (EnMAP) 任务提供了对水质评估至关重要的超谱数据.
准确的离水反射率 ([ρW]N) 产品对于了解水生生态系统至关重要.
大气校正 (AC) 是从卫星图像中获得可靠的水反射率的关键步骤.

研究的目的:

进行EnMAP标准水反射产品的首次广泛评估.
评估模块化倒置程序 (MIP) 对EnMAP数据大气校正的性能.
为了将MIP与EnMAP水应用中的其他大气校正算法 (聚合物,Acolite) 进行比较.

主要方法:

在17个水位使用现场超光谱测量验证EnMAP规范的离开水反射率 ([ρW]N).
应用到EnMAP数据的三个大气校正处理器 (MIP,Polymer,Acolite) 的相互比较.
使用气溶机器人网络 - 海洋颜色 (AERONET-OC) 数据进行多光谱验证.

主要成果:

由MIP衍生出的EnMAP标准[ρW]N产品与实地高光谱数据有很好的一致性 (误差ε=23.75%,偏差β=-17.37%).
与聚合物 (ε=42.20%,β=-2.43%) 和阿科利特 (ε=97%,β=97%) 相比,MIP表现优异.
通过与AERONET-OC多谱测量的良好协议进一步证实了MIP检索,而聚合物和Acolite在清的水域显示过高估计.

结论:

模块化倒置程序 (MIP) 是一个强大的处理器,用于生成精确的EnMAP水反射产品.
使用MIP处理的EnMAP高光谱数据适合进行详细的水生生态系统研究.
对聚合物和Acolite算法的进一步研究可能需要在各种水类中实现最佳性能.

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