Full text: Remote sensing for resources development and environmental management (Vol. 2)

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Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Shape and variability of the absorption spectrum of aquatic humus 
H.Buiteveld* & F.de Jong 
Delft University of Technology, Netherlands 
* Present address: RijkswaterStaat, DBW/RIZA, Lelystad, Netherlands 
R. Spanhoff 
Rijkswaterstaat, DGW, The Hague, Netherlands 
M.Donze 
Kenia laboratories, Arnhem, Netherlands 
ABSTRACT: Shape and variability of the absorption spectrum of aquatic humus is investigated. The exponential 
description of the shape is not accurate enough for remote sensing applications. Considerable improvement in 
the accuracy of the interpretation of airborne reflection measurements may be expected when actually measured 
absorption spectra of aquatic humus (part of the optical seatruth) are used as input for the deconvolution 
algorithm. 
1 GENERAL INTRODUCTION 
In numerous studies it has been demonstrated that 
airborne passive remote sensing of surface water in 
the optical window may yield a wealth of synoptical 
information. This information consists of convoluted 
data of the effect on the light-field of several 
physical, chemical and biological compounds of 
interest. Deconvolution is done using 'algorithms'; 
the results of these calculations are calibrated by a 
statistical technique against some seatruth 
measurements on the compounds of interest. The 
calibrated values are subsequently used for 
interpolation and extrapolation to construct 
distribution maps of these compounds. 
These maps are as yet of limited use due to the 
noise and variability in space and time observed in 
the 'constants' yielded by the calibration procedure. 
This problem increases in importance going from the 
open ocean to estuaries; in freshwater bodies it may 
even be greater. 
A number of factors may contribute to this 
undesirable situation: 
1. Lack of measurements; instrumental noise. 
2. Natural noise in the environment. 
3. Natural phenomena that are not recognized in the 
measurements nor covered by theory. 
4. Inadequacy of theory; especially nonlinearity in 
the relationships between concentrations and optical 
results cannot be treated in a statistically 
satisfying way, given the amount of noise in the 
data. 
When we develop the instrumental and theoretical 
apparatus to distinguish such factors we can reach a 
position from which reliability of remote sensing 
observations in dependence on the quality of 
instrumentation, seatruth observations and local 
conditions, can be judged. 
As a first step it may be expected that 'optical 
seatruth', consisting of optical measurements in situ 
and spectroscopy of water samples, will be much more 
usefull to develop precision in remote sensing than 
attempts to directly calculate chemical 
concentrations from airborne measurements. This 
translation can be separately done with the 
spectroscopic data. 
Purpose of our research is to contribute to a 
program as sketched above. 
1.1 Aquatic humus 
Humus (or yellow substance or gelbstoff) is a general 
name covering dissolved organic compounds of large 
molecular weight. Its definition actually consists in 
the methods of isolation (primarily pore size of the 
filterpaper) and measurement; such as total organic 
compounds, extinction and fluorescence, or any more 
elaborate set of properties. 
Pure water has fixed optical properties. Humus has 
a variable concentration and variable optical 
properties (Zepp and Schlotzhauer 1981; Bricaud et 
al. 1981). Together these two determine the optical 
background in which the contribution from particulate 
material must be studied. The optical properties of 
water were reviewed by Smith and Baker (1981). In the 
present paper the absorption spectrum of humus is 
discussed. 
The shape of the absorption spectrum of humus can 
in first approximation be described by an exponential 
function (Kalle 1966); absorption decreases strongly 
with wavelength in a monotonous fashion. 
a(A) = A e d(A_Ao) (i) 
with a(A) = measured absorption coefficient in m 1 
A = wavelength in nm 
A 0 = arbitrary constant in nm 
A,d = calculated by least squares 
This exponential form is usually applied in marine 
optics (Prieur and Sathyendranath, 1981). The 
accuracy of this description was studied by Bricaud 
et al. (1981) and Zepp and Schlotzhauer (1981). 
In this model A may be roughly equated with the 
concentration of humus, while d roughly describes the 
shape of the spectrum. In fact both parameters depend 
on the choice of Ao, the measured wavelength range and 
individual deviation from the model. Zepp and 
Schlotzhauer (1981) observed that values for A do 
correlate with total organic carbon, with an 
uncertainty of a factor of about 2. 
Bricaud et al. (1981) determined the constant d 
using a linear regression fit to equation 1 in the 
range 375-500 nm. The value of d varied from -.02 to 
-.01 nm 1 , with a mean of -.014 nm 1 . Zepp and 
Schlotzhauer (1981) found, in the case of freshwater 
humus, d values between -.0116 and .0175 nm 1 , 
with a mean value of -.0145 nm 1 , using the wavelength 
range 300-500 nm. 
The exponential function (1) with d = -.014 nm 1 is 
often used as model for the humus absorption. But it 
appears that the variability of the absorption 
spectrum of humus in nature and the deviation from 
the exponential function, with fixed d, are 
considerable. 
2 MATERIALS AND METHODS 
Samples of surface water were collected at 10 
different locations in The Netherlands.
	        
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