Ocean colour remote sensing in turbid coastal waters (1)
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Abstract
The use of ocean colour remote sensing data has increased dramatically over the last ten years,
particularly for coastal waters where impacts between the marine environment and human activities
may be particularly intense. Many of these coastal waters will be turbid because of high
concentrations of suspended particulate matter caused by a variety of processes including high
biomass algal blooms, sediment resuspension by wind/tide, river plumes, etc. Within these lectures on
“Ocean Colour Remote Sensing in turbid coastal waters” the specific challenges and opportunities
presented by turbid waters will be presented, where “turbid” is understood here to indicate waters
with high particulate scattering.
There are two major additional difficulties for ocean colour remote sensing in turbid coastal waters.
Firstly, atmospheric correction is more difficult in turbid waters because it is not possible to assume
zero near infrared marine reflectance (“black pixel assumption”), thus complicating the decomposition
of top of atmosphere measurements into atmospheric and marine reflectances. Secondly, the optical
properties of non‐algae particles, such as mineral particles from bottom resuspension or from river
discharges, need to be considered in addition to algal particles. If the absorption and scattering of nonalgae
particles is significant compared to that of algal particles it may become difficult or even
impossible to distinguish the optical properties of the algal particles. In such conditions the estimation
of chlorophyll a may become severely degraded or suffer from a detection limit problem. In turbid
waters both the atmospheric correction and the chlorophyll retrieval problems are highly dependent
on the technical specification of the remote sensors being used, and in particular on the spectral band
set. These two key issues will be explained in detail, via lectures and via simple computer‐based
exercises.
The algorithmic approaches that can be used to deal with these problems will be outlined, based on
the current state of the art and with reference to the capabilities of past, current and future ocean
colour sensors such as SeaWiFS, MODIS, MERIS, GOCI and OLCI.
In addition to aspects of chlorophyll retrieval in turbid coastal waters, other relevant parameters will
be discussed, including diffuse attenuation coefficient, euphotic depth, suspended particulate matter,
etc. The links with applications in marine science and coastal zone management will be described.
Requirements for the lectures
- A basic knowledge of the definitions of optical properties (scattering, absorption, attenuation) from other lectures from this IOCCG summer school, particularly those of Mark Dowell, Zhongping Lee and Curtis Mobley.
- An ability to use basic functions of Excel.
Curriculum
Bibliography
IOCCG report #3 on “Remote Sensing of Ocean Colour in Coastal, and Other Optically‐ Complex, Waters”, available from http://www.ioccg.org/reports/report3.pdf
Speaker(s) : Kevin Ruddick, Royal Belgian Institute of Natural Sciences (RBINS), B‐1200 Brussels, Belgium
Public : All
Date : Wednesday 11 july 2012
Place : Villefranche-sur-Mer

- Ocean Colour Algorithms (1)
- Inherent optical properties of ocean waters
- Ocean Colour Algorithms (2)
- Inversion of inherent optical properties from remote sensing
- Hyperspectral remote sensing of optically shallow waters
- Atmospheric correction issues unique to shallow waters
- Iop applications
- Techniques used for inverting atmospherically corrected rrs spectra
- Improved ocean ecosystem predictions through improved light calculations
- Ecosystem predictions using accurate radiative transfer models
- Above and in water radiometry: methods and calibration requirements
- Uncertainty analysis and application of in situ radiometric products
- In Situ Measurements (1)
- Errors and uncertainties in ocean colour remote sensing (1)
- In Situ Measurements (2)
- Errors and uncertainties in ocean colour remote sensing (2)
- High-resolution hyperspectral oc rs in coastal areas (1)
- High-resolution hyperspectral oc rs in coastal areas (2)
- Atmospheric correction of ocean colour rs observations (1)
- Use and importance of oc remote sensing in global coupled bgc models
- Atmospheric correction of ocean colour rs observations (2)
- Ocean colour remote sensing in turbid coastal waters (1)
- Using the oc time series to address climate change
- Atmospheric correction of ocean colour rs observations (3)
- Ocean colour remote sensing in turbid coastal waters (2)
- Harmful algal blooms: the contrast with other algal blooms (1)
- Ocean colour remote sensing in high latitude environments (1)
- Harmful algal blooms: the contrast with other algal blooms (2)
- Phytoplankton fluorescence: theory and interpretation from oc remote sensing (2)
- Ocean colour remote sensing in high latitude environments (2)
- Phytoplankton fluorescence: theory and interpretation from oc remote sensing (1) Detailed list
Contents
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