亚得里亚海Kaštela湾的水面和水中反射率和叶绿素算法测量

M. Kisevic, M. Morovic, A. Smailbegovic, Koko Anaricevic
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引用次数: 2

摘要

星载和机载多光谱和高光谱传感器的发展,使海岸带色素的检测和定量在可行范围内。然而,Case 2水域由于其光学复杂性以及固有光学性质(IOP)和表观光学性质(AOP)的频繁变化,需要定期收集原位测量数据,以优化和调整遥感算法以适应当地条件。本文报道了一项正在进行的研究,以更好地了解位于亚得里亚海东部海岸中部的Kaštela湾的生物光学特性,并评估开发当地遥感检索算法的必要性。在2009年的3次运动中,在Kastela湾不同站点测量了水中和水面反射率以及叶绿素a (Chl a)浓度。本文在采集的数据集上测试了不同的全局和区域Chl a反演算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Above and in-water measurements of reflectance and chlorophyll algorithms in the Kaštela Bay in the Adriatic Sea
Development of both the spaceborne and the airborne multispectral and hyperspectral sensors have made the detection and quantification of pigments in the coastal zones within the feasibility realm. However, the Case 2 waters, due to their optical complexity and frequent changes in inherent optical properties (IOP) and apparent optical properties (AOP) require regular collection of in-situ measurements to optimize and tune the remote sensing algorithms to suit the local conditions. This paper reports on an ongoing study to better understand the bio-optical properties of the Kaštela Bay, located in the central part of the eastern Adriatic Sea coast, and to assess the need to develop a local remote sensing retrieval algorithm(s). During the three campaigns in 2009, in-water and above water reflectance were measured together with chlorophyll a (Chl a) concentrations at different stations in the Kastela Bay. In this paper different global and regional Chl a inversion algorithms were tested on the acquired data set.
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