8
The effect of water vapor absorption is very significant for the NOAA-AVHRR near
IR channel. This channel is used together with the visible channel to derive the normalized
vegetation index (NDVI) used to monitor the dynamics of global vegetation (Tucker et al.,
1985; Justice et al., 1985). The effect of water vapor on the NDVI is large (Holben, 1986; Tanre
et al., 1992). There is no operational method to eliminate this effect on a global basis. The
composite technique used in the generation of the global vegetation index reduces the effect
of water vapor significantly (by 30-50%). Future generation of NOAA-AVHRR sensors (the
K, L and M series) and the NASA Earth Observing System (EOS) MODIS instrument are
planned to have narrow channels in the near IR that will eliminate this problem.
Direct correction of the aerosol effect is based on determination of the aerosol opacity
(expressed by the optical thickness and the resulting path radiance) from specific pixels in
the image and applying it to correct the same image (Kaufman and Sendra, 1988; Holben et
al., 1992). The aerosol path radiance, Lp, and optical thickness, r a , can be determined above
dark surfaces for which the surface reflectivity can be estimated. Once such surface type is a
green forest area. Since the aerosol scattering may make it difficult to find forest pixels, the
forest pixels are determined based on their reflectance in the mid-IR (2.15 or 3.75 pm) where
the aerosol effect is minimal (the wavelength is much larger than the particle size).
In indirect correction for the aerosol effect, instead of correcting the measured
radiances for the aerosol effect, a remote sensing function is defined (such as the NDVI used
for remote sensing of vegetation) in a new form that minimizes the dependence on the
aerosol loading. One such function is the Atmospheric Resistant Vegetation Index (ARVI)
that instead of the red channel used in the NDVI, uses a combination of the red and blue
channels (Kaufman an Tanre, 1992). This redefinition of the NDVI as ARVI retains a
similar information about the surface properties while being less sensitive to the aerosol
effect.
In this paper we shall discuss the aerosol effect on remote sensing of the surface
reflectance, techniques for remote sensing of the aerosol from space, and application of the
direct and indirect correction techniques to remote sensing from the AVHRR and EOS-
MODIS.
2. THE EFFECT OF AEROSOL ON REMOTE SENSING
Aerosol particles scatter and absorb solar radiation. The scattering and absorption
characteristics depends on the chemical and physical properties of the particle. Several
chemical compounds have specific absorption characteristics in some parts of the solar
spectrum, somewhat similar to the absorption bands of atmospheric gases. An example is
the red Saharan dust that absorbs stronger in the blue part of the spectrum (Patterson, et al.,
1977). Black carbon is responsible for most of the aerosol absorption, for aerosol originated
from populated areas (aerosol emitted or formed down the wind from industrial and car
emissions) and aerosol in smoke from biomass burning, which is widely prevailing in the
tropical latitude. Its absorption is uniformly distributed across the solar spectrum
proportional to the aerosol scattering, which decreases with the wavelength. The aerosol
single scattering albedo, co Q , is a measure of the aerosol absorption. It is defined as the ratio
of aerosol scattering to scattering + absorption. (co 0 =l for complete scattering and co 0 =0 for
complete absorption.) Fig. 1 shows the dependence of the atmospheric effect on the surface
reflectance, for several values of the aerosol single scattering albedo and aerosol optical
thickness (Fraser and Kaufman, 1985). Increase in the surface reflectance or decrease in the
value of oo 0 reduces the net aerosol effect on the radiance or makes it more negative. For a
given value of (0 o there is a value of the surface reflectance, called the critical reflectance,
for which the aerosol effect is close to zero for any value of the aerosol optical thickness.
Remote sensing of this value was used to determine the aerosol absorption from space
(Kaufman, 1987).
0.1
o.o
o.o
0.0
0.0
CL 0.
I
-j -0.0
- 0.0
- 0.0
- 0.0
- 0.1
Fig. 1: The rat
reflectance for t
thickness z A at
angel is 40°, tht
the atmospheric
the dotted line,
positive (p c =0.
Kaufman, 1985)
The effect
2. The abscissa is
reflectance in ch;
actual NDVI (wit:
the difference be
atmosphere. Not«
(low NDVI) and
on the NDVI is b
Bare soils (small
values of surface
because of the c
conclusion may n
be completed. Lar
reflectance. The ]
unit) for tropical
channel 2 p 2 = 0.1
correspond to lo\
lava surface. Tho
radiance and the
for different types