Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
meteorological events, winds and tides. It is one of the most 
productive inland seas in the world, contributing significantly to 
the economy of eastern Canada with its finfish and invertebrate 
fisheries, apart from its important role as a seaway. 
The estuary is fed by the St. Lawrence River input, with a 
yearly mean of 12000 mis! (but highly variable) and with a 
drainage area of 1 320 000 km? (Larouche, 2000). Estuarine 
waters are thus characterized by a salinity gradient and a flux of 
terrigenous particles and dissolved organic matter. The gulf is a 
triangular shaped semi-enclosed sea with an approximate 
surface area of 226 000 km°. It has only two connections with 
the Atlantic Ocean: the Cabot Strait and the Strait of Belle-Isle 
(Koutitonsky and Bugden, 1991) . 
Considering the size of the area and the variability of the 
system, remote sensing becomes a useful tool in order to 
observe large scale distribution of oceanographic parameters 
such as chlorophyll concentration in the surface waters. 
1 .3 Remote sensing of Case II waters of the Estuary 
In estuarine waters of the St. Lawrence system, at least three 
relevant quantities (phytoplankton chlorophyll, SS and 
gelbstoff) can vary independently of each other, a case which is 
conventionally named as Case-Il (Morel and Prieur, 1977; 
Gordon and Morel, 1983; cited in Sathyendranath, 2000). 
Because of this inherent variability of the  bio-optical 
constituents, remote sensing algorithms for the retrieval of 
chlorophyll must be site and season specific, and relatively 
complex with respect to Case I algorithms where phytoplankton 
are alone the principal agents responsible for variations in 
optical properties of the water (Jacques et. al., 1998). 
The complexity of Case-II waters arises from the fact that the 
interactions between the optically active constituents are non- 
linear, and have spectrally varying effects on the remotely 
sensed signal. The change in optical signal may be minor with 
respect to the change in the concentration of a variable 
component, and moreover, two or more substances may have a 
similar influence on the signal at some wavelengths. This signal 
competition makes it difficult to decouple chlorophyll 
information from the optical contributions of the other two 
major constituents; Gelbstoff and suspended sediments. 
(Sathyendranath, 2000). 
1.4 Present study 
In this work we will focus on ship-based spectral reflectance 
data acquired using an Analytical Spectrometer Device (ASD- 
FieldSpec®). This instrument has two principal advantages for 
this type of works: first, it has a narrow bandwidth (1,4 nm) 
relative to airborne and satellite sensors, and thus allows a 
detailed investigation of the spectral signatures. Secondly, the 
ship-based radiometer data do not impose atmospheric 
correction, even though it will provide valuable data for 
atmospheric correction needed for validation of the airborne 
and satellite data. 
The ultimate usage of the ship-based spectral reflectance data 
consists on the validation of satellite remote sensing data. 
2. MATERIAL AND METHODS 
An Analytical Spectrometer Device (ASD-FieldSpec^) has 
been used to collect field data in this study. The instrument is a 
326 
field-portable spectroradiometer, which operates in the visible- 
near infrared portion of the spectrum between 350-1050 nm 
wavelength domain. It has a 512 channel silicon photodiode 
array overlaid with an order separation filter. The integration 
time is manually adjustable through the controlling software. 
Dark current can be measured and sampled manually at any 
time, and it can be corrected either manually or automatically. 
Data collecting procedure consists of taking uncalibrated 
radiance measurements of the seasurface radiance, the sky and 
the reflectance panel. In this approach, the uncalibrated sensor 
is used to measure signals proportional to the seasurface 
radiance, sky radiance and the radiance reflected from a 
horizontal reference panel, having a known bi-directional 
reflectance for the solar and viewing directions. (Mueller et. al., 
Chapter 10, 2000) 
2.1 Seasurface radiance 
In our cases, we accept the upwelling radiance above water 
composed of the waterleaving radiance, which has the 
information we seek for, and the sky radiance reflected from the 
seasurface. The ideal is to omit sunglints, foam, ship motion 
effects, ship’s shadow while minimizing the surface reflected 
radiance. The viewing angles should be adjusted according to 
the previous principles, and the last convention (Mueller et. al., 
Chapter 10, 2000) defines the optimal angles as 40? for the 
zenith and 130? with the azimuth relative to the sun. In any 
circumstance, the sensor should view the seasurface at a zenith 
angle within the range 30-50? and at an azimuth angle in the 
range 90? to 180?. The field of view of the sensor can be 
adjusted to 2? or 18? (in this study it is 2?). 
2.2 Reflectance panel 
The information about the spectral downwelling radiance is 
obtained by measuring the radiance L,(A) reflected from a 
reflectance panel (Spectralon) which is held horizontally. The 
reflectance of Spectralon is known and the relationship that 
relates the measured radiance to the incident irradiance E4(A) is 
given by: 
E44) QU). Vp, - Lol.) (1) 
Where Q(X) = angular and wavelength dependent factor 
relating the radiance to the irradiance (Q(A) = m for a 
Lambertian surface) Here, p, is the irradiance reflectance of 
Spectralon (Mobley, 1999). 
The surface of the panel must be cleaned regularly by gently 
rubbing the surface with a fine-sand paper under steady stream 
of distilled water, to get rid of the specularly reflecting film at 
the panel surface, as well as other particles like the seasalt. 
The reflected diffuse sky radiance signal is estimated by 
measuring the reflected radiance signal from the shaded 
reflectance panel. This provide an independent estimate of the 
sky contribution, and it is also useful for estimating the direct 
solar influence on the reflected signal. The shadowing on the 
panel should be done with a sun shade which is as far as 
possible from the panel, and the geometrical configuration 
  
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