Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8
TLDR
In this article, Vanhellemont et al. presented the use of the high quality SWIR bands of the Operational Land Imager (OLI) on Landsat-8, launched in 2013, to extend their existing turbid water atmospheric correction to extremely turbid waters.About:
This article is published in Remote Sensing of Environment.The article was published on 2015-05-01 and is currently open access. It has received 241 citations till now. The article focuses on the topics: Atmospheric correction.read more
Citations
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First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery
TL;DR: Preliminary results allow us to assume that Sentinel-2 will be a valuable tool for lake monitoring and research, especially taking into account that the data will be available routinely for many years, the imagery will be frequent, and free of charge.
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Remote sensing for lake research and monitoring – Recent advances
Katja Dörnhöfer,Natascha Oppelt +1 more
TL;DR: In this paper, the authors provide a comprehensive overview of how remote sensing can support lake research and monitoring, i.e., water transparency (suspended particulate matter, coloured dissolved organic matter, Secchi disc depth, diffuse attenuation coefficient, turbidity), biota (phytoplankton, cyanobacteria, submerged and emerged aquatic vegetation), bathymetry, water temperature (surface temperature) and ice phenology (ice cover, ice on, ice-out).
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Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives
TL;DR: In this paper, the dark spectrum fitting (DSF) atmospheric correction method for aquatic application of metre-scale resolution optical satellite imagery is adapted to Landsat and Sentinel-2 (L/S2), including an automated tiled processing of full scene imagery and an optional image based glint correction.
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An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing.
P. Jeremy Werdell,Lachlan I. W. McKinna,Emmanuel Boss,Steven G. Ackleson,Susanne E. Craig,Susanne E. Craig,Watson W. Gregg,Zhongping Lee,Stéphane Maritorena,Collin S. Roesler,Cecile S. Rousseaux,Cecile S. Rousseaux,Dariusz Stramski,James M. Sullivan,Michael S. Twardowski,Maria Tzortziou,Maria Tzortziou,Xiaodong Zhang +17 more
TL;DR: A synopsis of the current state of the art in the retrieval of core optical properties from satellite ocean color is presented and recommendations for future investment for upcoming missions whose instrument characteristics diverge sufficiently from heritage and existing sensors to warrant reassessing current approaches are made.
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Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and validations
Nima Pahlevan,S. Sarkar,Bryan A. Franz,Sundarabalan V. Balasubramanian,Sundarabalan V. Balasubramanian,Jiaying He +5 more
TL;DR: The European Space Agency's Sentinel-2A mission with the MultiSpectral Instrument (MSI) onboard was launched in 2015, initiating a new era in high-to-moderate-resolution (i.e., 10 to 60m) imaging of Earth's resources as discussed by the authors.
References
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Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview
TL;DR: The 6S code has still limitations; it cannot handle spherical atmosphere and as a result, it cannot be used for limb observations, and the decoupling the authors are using for absorption and scattering effects does not allow to use the code in presence of strong absorption bands.
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Object-based cloud and cloud shadow detection in Landsat imagery
Zhe Zhu,Curtis E. Woodcock +1 more
TL;DR: The goal is development of a cloud and cloud shadow detection algorithm suitable for routine usage with Landsat images and as high as 96.4%.
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Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm
Howard R. Gordon,Menghua Wang +1 more
TL;DR: It is shown, using aerosol models, that certain assumptions regarding the spectral behavior of the aerosol reflectance employed in the standard CZCS correction algorithm are not valid over the spectral range encompassing both the visible and the NIR.
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The Next Landsat Satellite: The Landsat Data Continuity Mission
TL;DR: The Landsat Data Continuity Mission (LDCM) as mentioned in this paper is a successor to the Landsat data continuity mission (LDSM) that will collect, archive, and distribute the image data as part of the Earth Resources Observation and Science (EROS) archive.
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Refractive indices of water and ice in the 0.65- to 2.5-µm spectral range.
TL;DR: The imaginary part of refractive index of supercooled water shows a systematic shift of absorption peaks toward the longer wavelengths compared with that of water at warmer temperatures.
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