Sensor capability and atmospheric correction in ocean colour remote sensing

Emberton, Simon; Chittka, Lars; Cavallaro, Andrea; Wang, Menghua

Abstract

© 2015 by the authors; licensee MDPI, Basel, Switzerland. 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.

Citation

Emberton, S., Chittka, L., Cavallaro, A., & Wang, M. (2016). Sensor capability and atmospheric correction in ocean colour remote sensing. Remote Sensing, 8(1), https://doi.org/10.3390/rs8010001

• Journal Article Type: Article
• Acceptance Date: Nov 24, 2015
• Online Publication Date: Dec 22, 2015
• Publication Date: Jan 1, 2016
• Deposit Date: Oct 30, 2017
• Publicly Available Date: Oct 30, 2017
• Journal: Remote Sensing
• Electronic ISSN: 2072-4292
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 1
• DOI: https://doi.org/10.3390/rs8010001
• Keywords: atmospheric correction, hyperspectral, multispectral, ocean colour, remote sensing
• Public URL: https://uwe-repository.worktribe.com/output/915299
• Publisher URL: http://dx.doi.org/10.3390/rs8010001