Full text: Proceedings, XXth congress (Part 7)

| 2004 
  
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Sensitivity Analysis of Spectral Indices to Ozone Absorption Using Physical Simulations in a 
Forest Environment: Comparative Study between MODIS, 
SPOT VEGETATION & AVHRR 
A. Bannari and H. Asalhi 
Remote Sensing and Geomatics of Environment Laboratory, 
Department of Geography, University of Ottawa, 
P.O. Box 450, Ottawa (Ontario), Canada KIN 6N5 
Tel. (613) 562-5800 (ext. 1042), Fax (613) 562-5145 
E-mail: abannari@uottawa.ca 
Abstract: Considering a forest cover (Balsam Fir with various densities) we analyze the sensitivity of several vegetation indices to 
ozone absorption using physical simulations in the spectral bands of MODIS, VEGETATION and AVHRR sensors. Except for the EVI, 
MSR and GARI, the results indicate that all the vegetation indices used in this study normalize the ozone absorption in particular 
TSARVI and GEMI. In addition, this study underlines the MODIS sensor contribution to minimize the ozone absorption effect. 
1. Introduction 
The processes of atmospheric diffusion by aerosols and 
molecules, and absorption by gases (ozone, water vapour and 
carbon dioxide) disturb terrestrial surface reflectance 
measurements acquired by optical satellites. When designing 
remote sensing sensors, the spectral bands are selected in 
order to avoid as much as possible encroaching on the 
absorption bands of atmospheric gases (Deschamps ef al, 
1984). However, a relatively weak gas absorption effect 
always persists, which results in an attenuation of a few 
percentage of the reflectance measured at the sensor. In 
general, aerosol and molecule diffusion and water vapour 
absorption effects are corrected and removed from images 
before extracting information on land use. In the literature, we 
find a very rich and varied documentation demonstrating and 
explaining the effects of these two atmospheric components 
on optical remote sensing data (Deschamps et al, 1984; 
Vermot ef al., 1996). Furthermore, investigations showing the 
impact of ozone absorption on the data or on the extraction of 
the biophysical parameters are rare. 
Ozone is an important chemical component of the 
atmosphere. It occurs naturally in the atmosphere in small 
quantities as an unstable gas, but its levels are increasing at 
the surface as a result of human activities. The measured 
concentrations increase with altitude and are strong in forest 
environments. Ozone concentrations have been increasing in 
the atmosphere at a rate of approximately 1 % per year, with a 
strong dependence on the amount of sunlight and prone to 
strong inter-annual variations. The correction of optical 
remote sensing images for ozone should be based on actual 
measurements derived, for example, from the Total Ozone 
Mapping Spectrometer (TOMS) or other appropriate sensors 
(McPeters er al, 1996). However, access and utilization of 
these data can be difficult. Using the concentration values 
from standard climatic tables with latitudinal and seasonal 
dependence is acceptable and is the most useful approach. In 
this study, we analyze the sensitivity of several vegetation 
indices to ozone absorption considering a forest cover 
(Balsam Fir) and using physical simulations. To achieve our 
goal, spectroradiometric measurements were acquired above a 
forest cover with various densities. All of the measurements 
801 
were resampled and convolved in the solar-reflective spectral 
bands of the MODIS, VEGETATION and AVHRR sensors. 
The 6S (Second Simulation of the Satellite Signal of the Solar 
spectrum) atmospheric radiative transfer code was used with 
variable ozone concentrations and different forest cover 
density using the spectral bands of these three sensors. 
2. Materials and Methods 
2.1 Study Site and Ground Measurements 
The study site is a forest area of the Cape Breton Island, News 
Scotland, Canada, 46°44’N, 60?40'O. The Western part of the 
site is in the National park of Prince Albert and the Eastern 
area is part of the provincial forest. It's an experimental zone 
used since 1976 for the development of remote sensing 
techniques and application in a forest environment. The site is 
composed mainly of a stand (Balsam Fir) plantation with 
different densities and various stages of maturity. In this 
study, spectroradiometric measurements were acquired above 
the forest canopy with various densities: 0, 25, 50, 70 and 100 
percent. The measurements were carried out with a portable 
GER-3700 spectroradiometer (350 to 2500 nm). To take into 
account the bi-directional effect of the target reflectance, 
which depends both on the illumination angle and the viewing 
angle, we carried out measurements around the zenith hour 
following a vertical view direction. All of the 
spectroradiometric measurements were resampled and 
convolved in the solar-reflective spectral bands of the 
MODIS, VEGETATION and AVHRR sensors. Percent green 
cover was estimated from  35-mm slides obtained 
simultaneously from a camera mounted to the 
spectroradiometer. 
2.2 Simulations conditions 
In order to highlight the ozone absorption effects on the 
spectral bands (blue, green, red and near infrared) and, 
consequently, on the vegetation indices, the transfer radiative 
code 6S was used (Vermot et al, 1996). An atmospheric 
model US-standard 1962 and an atmosphere without aerosols 
were considered. We fixed the view angle in the nadir and the 
solar angle at 45° with an azimuth angle at 30° and a view 
zenith angle at 0°. Simulations were carried out considering a 
 
	        
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