Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing

被引:25
|
作者
Emberton, Simon [1 ]
Chittka, Lars [1 ]
Cavallaro, Andrea [1 ]
Wang, Menghua [2 ]
机构
[1] Queen Mary Univ London, Ctr Intelligent Sensing, London E1 4NS, England
[2] NOAA, Ctr Satellite Applicat & Res, College Pk, MD 20740 USA
基金
英国工程与自然科学研究理事会;
关键词
atmospheric correction; hyperspectral; multispectral; ocean colour; remote sensing; WATER-LEAVING REFLECTANCE; SUSPENDED PARTICULATE MATTER; CHLOROPHYLL-A CONCENTRATION; AEROSOL OPTICAL-THICKNESS; HYPERSPECTRAL IMAGER; CORRECTION ALGORITHM; COASTAL WATERS; SUN GLINT; CONSTITUENT RETRIEVAL; SPECTRAL OPTIMIZATION;
D O I
10.3390/rs8010001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate correction of the corrupting effects of the atmosphere and the water's surface are essential in order to obtain the optical, biological and biogeochemical properties of the water from satellite-based multi- and hyper-spectral sensors. The major challenges now for atmospheric correction are the conditions of turbid coastal and inland waters and areas in which there are strongly-absorbing aerosols. Here, we outline how these issues can be addressed, with a focus on the potential of new sensor technologies and the opportunities for the development of novel algorithms and aerosol models. We review hardware developments, which will provide qualitative and quantitative increases in spectral, spatial, radiometric and temporal data of the Earth, as well as measurements from other sources, such as the Aerosol Robotic Network for Ocean Color (AERONET-OC) stations, bio-optical sensors on Argo (Bio-Argo) floats and polarimeters. We provide an overview of the state of the art in atmospheric correction algorithms, highlight recent advances and discuss the possible potential for hyperspectral data to address the current challenges.
引用
收藏
页数:31
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