Setting of Cloud Albedo in the Atmospheric Correction Procedure to Generate the Ocean Colour Data Products from OCM-2

2015 ◽  
Vol 43 (2) ◽  
pp. 439-444 ◽  
Author(s):  
P. V. Nagamani ◽  
T. Preethi Latha ◽  
K. H. Rao ◽  
T. Suresh ◽  
S. B. Choudhury ◽  
...  
Keyword(s):  
Atmospheric Correction ◽  
Correction Procedure ◽  
Ocean Colour ◽  
Cloud Albedo ◽  
Data Products

scholarly journals Evaluation of the atmospheric correction procedure for the APEX level 2/3 processor

2008 ◽  
Author(s):  
Daniel Schläpfer ◽  
Jan Biesemans ◽  
Andreas Hueni ◽  
Koen Meuleman
Keyword(s):  
Atmospheric Correction ◽  
Correction Procedure ◽  
Level 2

Satellite observations of ocean colour

1983 ◽  
Vol 309 (1508) ◽  
pp. 415-432 ◽  
Keyword(s):  
Spatial Information ◽  
Chlorophyll Concentration ◽  
Atmospheric Correction ◽  
Euphotic Zone ◽  
Bulk Water ◽  
Satellite Observations ◽  
Atmospheric Effects ◽  
Ocean Colour ◽  
Potential Applications ◽  
Wavelength Radiation

Ocean colour is unique among the properties of the sea that can be measured from satellites because visible wavelength radiation penetrates below the surface skin and contains direct information about the bulk water quality in the upper few metres of the sea. With reference to Nimbus czcs and Landsat MSS data, this review examines three aspects of ocean-colour monitoring: the removal of atmospheric effects, which make up a large proportion of the visible signal reaching the satellite; the calibration of the ocean colour signal in terms of more useful ocean parameters such as sediment load, chlorophyll concentration, water depth or the depth of the euphotic zone; and the potential applications of colour-monitoring satellites to oceanography. Algorithms for atmospheric correction are now well developed, but calibration for chlorophyll or sediment is less certain, particularly where inorganic sediments or land-derived yellow substance, as well as the local phytoplankton population, are present in the sea. Oceanographic applications include the estimate of total productivity, the identification of blooms, and the location of productive areas to assist ship surveys. The greatest potential for satellite observations of ocean colour may lie in the synoptic spatial information contained in the images, but this awaits serious exploitation by dynamical oceanographers.

Inter‐comparison of ocean colour data products during algal blooms in the Skagerrak

2007 ◽  
Vol 28 (18) ◽  
pp. 4215-4215
Author(s):  
A. Folkestad ◽  
L. H. Pettersson ◽  
D. D. Durand
Keyword(s):  
Algal Blooms ◽  
Ocean Colour ◽  
Data Products

scholarly journals CALIBRATION/VALIDATION OF LANDSAT-DERIVED OCEAN COLOUR PRODUCTS IN BOSTON HARBOUR

2016 ◽  
Vol XLI-B8 ◽  
pp. 1165-1168
Author(s):  
Nima Pahlevan ◽  
Patrick Sheldon ◽  
Francesco Peri ◽  
Jianwei Wei ◽  
Zhehai Shang ◽  
...  
Keyword(s):  
Spatial Scales ◽  
Atmospheric Correction ◽  
Optical Data ◽  
First Year ◽  
Landsat 8 ◽  
Boston Harbor ◽  
Massachusetts Bay ◽  
Ocean Colour ◽  
Near Surface ◽  
Optical Images

The Landsat data archive provides a unique opportunity to investigate the long-term evolution of coastal ecosystems at fine spatial scales that cannot be resolved by ocean colour (OC) satellite sensors. Recognizing Landsat’s limitations in applications over coastal waters, we have launched a series of field campaigns in Boston Harbor and Massachusetts Bay (MA, USA) to validate OC products derived from Landsat-8. We will provide a preliminary demonstration on the calibration/validation of the existing OC algorithms (atmospheric correction and in-water optical properties) to enhance monitoring efforts in Boston Harbor. To do so, Landsat optical images were first compared against ocean colour products over high-latitude regions. The in situ cruise data, including optical data (remote sensing reflectance) and water samples were analyzed to obtain insights into the optical and biogeochemical properties of near-surface waters. Along with the cruise data, three buoys were deployed in three locations across the Harbor to complement our database of concentrations of chlorophyll a, total suspended solids (TSS), and absorption of colour dissolved organic matter (CDOM). The data collected during the first year of the project are used to develop and/or tune OC algorithms. The data will be combined with historic field data to map in-water constituents back to the early 1990’s. This paper presents preliminary analysis of some of the data collected under Landsat-8 overpasses.

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