Full text: Technical Commission VIII (B8)

waters are CDOM dominated and cyanobacterial blooms take 
place every summer. Lake Mälaren in Sweden is the ninth 
largest lake in Europe (1140 km”). Mälaren has sophisticated 
morphology and due to that optical water properties vary greatly 
in different basins. Lake Vörtsjärv is the second largest lake in 
Estonia (270 km?). It is a hypetrophic lake with relative high 
concentrations of optically active substances (phytoplankton, 
CDOM and suspended matter). Lake Tamnaren in Sweden 
(32.62 km?) is a very shallow (max depth 1.8 m) brown- 
watered lake. We happened to sample there in a windy day and 
therefore the suspended matter concentration was the highest 
from all sampled lakes (64.95 mg/l). Lake Harku is the smallest 
from studied lakes with it's 1.64 km? area. The concentrations 
of chlorophyll-a there were the highest from all studied lakes 
(203.31 mg/m?) while the CDOM absorption at 400 nm was in 
the same range with Lake Peipsi (up to 11.7 m™). 
The Estonian lakes were sampled three times during spring- 
summer season 2011 (in May, July, August). The Swedish 
lakes were sampled in September 2011. 
2.2 Remote sensing data 
The original idea was to collect MERIS imagery from all 
studied lakes, test performance of the standard products and 
develop new methods/algorithms if the standard products do not 
perform well. The first two field campaigns in Estonia took 
place in practically cloud free conditions. Unfortunately, there 
were small clouds or processing errors in MERIS Level 2 
products in the places where our sampling took place. In 
Sweden we sampled during a week with variable weather. Some 
parts of Lake Málaren were sampled during cloudy days. In one 
day our sampling stations happened to be in an area between 
two MERIS swaths. As a consequence, the number of matchup 
points is too low to validate MERIS Level 2 products. 
We carried our reflectance measurements with two Ramses 
radiometers in each sampling station. The reflectance 
measurements were carried out in two different ways. Firstly we 
measured reflectance in a “normal” way where both the 
downwelling irradiance and upwelling radiance sensors were 
above the water surface. These measurements were followed by 
measurements where the irradiance sensor was above the water 
surface but the upwelling radiance sensor was just below the 
water surface. This allowed us to collect reflectance spectra 
without any sun or sky glint contamination. 
2.3 Optical measurements 
We studied optical water properties with a Wetlabs instrument 
package, besides the reflectance measurements, in each 
sampling station. The package consists of a hyperspectral 
absorption and attenuation meter ac-s, a backscattering senor 
eco-bb3 measuring backscattering coefficient at three 
wavelengths (412, 595, 715 nm), and a volume scattering sensor 
eco-vsf3 that measures scattering at three wavelengths (460, 
532, 660 nm) and under three angles (100, 125 and 150 
degrees). It is possible to calculate the backscattering coefficient 
also from the ec-vsf3 data. This way we get backscattering 
coefficient at six different wavelengths. 
2.4 Laboratory measurements 
For chlorophyll concentrations 0.5—1.0 liters of water was 
filtered through Whatman GF/F-filters (pore size 0.7 um), 
extracting pigments with hot ethanol (90%, 75°C) and 
measuring absorption coefficients at the wavelengths of 665 
and 750 nm (ISO 10260, 1992 (E)). 
The concentration of total suspended matter, Crss, was 
measured gravimetrically after filtration of the same amount of 
water through pre-weighed and pre-combusted (103—105 ?C for 
1 h) filters; the inorganic fraction, Csp;, was measured after 
combustion at 550 °C for 30 min. The organic fraction Csrom 
was determined by subtraction of Cspyy from C7ss (ESS method 
340.2, 1993). 
Absorption by coloured dissolved organic matter (CDOM, 
called also yellow substance), ay, was measured with a 
spectrometer (Hitachi U-3010 UV/VIS, in the range 350—750 
nm) in water filtered through Millipore 0.2 um filter, measured 
in a 10 cm cuvette against distilled water and corrected for 
residual scattering according to Davis-Colley and Vant (1987), 
who estimated the accuracy of the method to be better than 
0.017 m”. 
The total particulate absorption, a„(A), was measured with a 
spectrometer (Hitachi U-3010 UV/VIS, in the range 400-800 
nm) with the Whatman GF/F filter pad technique (Tassan & 
Ferrari, 1995, 2002) and using later depigmentation with 
sodium hypochloride (Ferrari & Tassan, 1999), which separates 
phytoplankton pigment absorption a,,(4) and the absorption by 
the rest of particles, a,(4) (tripton). 
2.5 Radiative transfer modelling 
Hydrolight 5.0 radiative transfer model (Mobley and Sundman 
2001) was used to simulate remote sensing reflectance spectra. 
A Case 2 model was parameterised in Hydrolight with some 
input from our local knowledge about the optical properties of 
the lakes under investigation. For example specific absorption 
and scattering coefficients of Anabaena circinalis (Metsamaa et 
al. 2006) were used as we know that Anabaena species 
dominated in some of the lakes during certain periods. 
We are in the early stages of creating the modelled spectral 
library that covers the whole possible range of chlorophyll, 
CDOM and suspended matter variations in our lake waters. The 
spectral library used in this study was created using chlorophyll- 
a concentrations 1, 5, 10, 30, 60, and 200 mg/m’; CDOM 
absorption coefficients (at 420 nm) 1, 5, and 10 m™; and 
mineral particle concentrations 1, 5, 10, and 20 mg/l. 
In this study we used reflectance spectra where the water 
leaving radiance (L,) was divided by the downwelling 
irradiance (Ey). These spectra were compared with in situ 
reflectance spectra measured with upwelling radiance sensor 
just below the water surface and the downwelling irradiance 
sensor above the water surface i.e. both the modelled and 
measured reflectance spectra did not contain any glint. 
Spectral Angle Mapper (SAM) was used to find the modelled 
spectrum most similar to any measured reflectance spectrum. 
Different angles from 0.2 to 0.5 were used in SAM. All the 
angles produced identical classification results but the number 
of unclassified reflectance spectra was the lowest for the angle 
of 0.5. Therefore, the results presented in this study are for this 
angle. 
   
    
     
   
    
  
   
   
   
    
   
    
  
  
    
    
   
   
   
   
    
    
    
    
     
   
   
    
    
    
   
   
   
   
    
   
   
   
   
   
   
     
  
   
    
    
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