6. CONCLUSIONS
Operational correction of the aerosol effect on remote sensing of the surface over the
land still forms an unresolved challenge. The new generation of satellite sensors for global
remote sensing of the earth surface, with better and more numerous spectral channels
(mainly the addition of a blue channel and a channel at 2.1 pm), finer spatial resolution and
precision calibration will offer new opportunities for remote sensing and for correction for
the aerosol effect. Direct and indirect correction methods are possible and were reviewed in
this paper. The direct method identifies dark pixels using the mid-IR channels, estimates
their reflectance in the red and blue channels and determines the aerosol optical thickness
that is used in the correction. The indirect method is based on a remote sensing function
such as the Atmospheric Resistant Vegetation Index, ARVI, that is much less sensitive to
aerosol effect than regular remote sensing methods. Atmospheric correction methods will
be assisted by aerosol climatology derived from ground based measurements with networks
of automatic sun/sky radiometers. These data will also be used for validation of the aerosol
properties derived from the satellite data in the correction process. Results from field
experiments show that satellite remote sensing of polarization planed in the future may
provide additional tools for estimation of the aerosol loading used in the correction.
REFERENCES
d'Almeida, G.A., R. Jaenicke, P. Roggendorf and D. Richter, 1983. New Sunphotometer for network
operation. Appl. Opt. 22(23):3796-3801.
d'Almeida G.A., 1987, On the variability of desert aerosol radiative characteristics , J. Geophys. Res.,
92, 3017-3026.
d'Almeida G.A., Koepke P. and E.P. Shettle, 1991, Atmospheric Aerosols, Global Climatology and
Radiative Characteristics, Deepak Publishing, Hampton, Virginia,.
Crutzen P.J. and M.O. Andrea, 1990, Biomass burning in the tropics - Impact on atmospheric chemistry
and biogeochemical cycles, Science, 250, 1669-1678.
Deschamps P.Y., Breon, F.M., A. Bricaud, J.C. Buriez, J.L. Deuze, M. Herman, M. Leroy, A. Podaire and
G. Seze, 1994, The POLDER mission: Instrument characteristics and scientific objectives, IEEE
Trans. Geosci. Rem. Sens., in press.
Deuze J.L., Devaux C., Herman M., Santer R., Balois J.Y., Gonzales L., Lecomte P. and C. Verwaerde,
1989, Photopolarimetric Observations of Aerosols and Clouds from Balloon, Rem. Sens. Environ.,
29, 93-110.
Deuze J.L., F.M. Breon, P.Y. Deschamps, C. Devaux, M. Herman, A. Podaire and J.L. Roujean, 1993,
Analysis of the POLDER (Polarization and Directionality of Earth’s Reflectances) Airborne
Instrument, Rem. Sens. Environ., 45, 137-154.
Dollfus, 1979, Optical reflectance polarimetry of Saturn's globe and rings. I. Measurements on B ring,
Icarus, 37, 404-419.
Egan, W.G., 1969, Polarimetric and photometric simulation of the Martian surface. Icarus, 10, 223-227.
Egan W.G. and V. Whitehead, Polarization imagery of terrestrial areas obtained during Space
Shuttle missions, hit. Rad. Sump. '88: current pbs in atmos. Rad., Lille, France, A. Deepak, 561-
563,1989.
Forgan B.W., E.N. Rusina, J.J. DeLuisi and BB Hicks, 1994, Measurements of Atmospheric Turbidity in
BAPMoN and Looking Forward to GAW, WMO report, Forthcoming.
Flowers, E.C., R.A. McCormick and K.R. Kurfis, 1969. Atmospheric turbidity over the United States,
1961-1966, T. of Applied Meteor. S:955-962.
Fraser, R.S. and Y.J. Kaufman: 1985: 'The relative importance of scattering and absorption in remote
sensing', IEEE Trans. Geos. Rem. Sens., 23, 625-633.
Fraser R.S., R.A. Ferrare, Y.J. Kaufman and S. Mattoo, 1992: 'Algorithm for atmospheric corrections of
aircraft and satellite imagery’, hit. /. Rem Sens. 12, 541-557.
Hansen, J.E. and J.W. Hovenier, 1974, Interpretation of the polarization of Venus. J. Atmos. Sci., 31,
1137-1160.
Hegg, D.A., P.V. Hobbs, R.J. Ferek and A. Waggoner, 1994: 'Measurements relevant to radiative forcing
by aerosol on the east coast of the United States', submitted to J. Geophys. Res.
Holben, B.N., 1986: "Characteristics of maximum value composite images for temporal AVHRR data",
Int. J. Remote
Holben B.N., T.F. E
Sahel region i
Holben B.N., T.F. 1
Tanré, 1994,
Amazon, Val
Holben B.N., Verm
data- Appli
Sensing, 30,
Hoppel W. A., Fitzj
optical prope
95,3659-3686.
Justice, C.O., J.G.R
global vegeta
Kaufman Y.J., 1987
Kaufman Y.J., 19f
implication:
2692.
Kaufman Y.J., R.S
methods", J
Kaufman, Y.J., A.
1994: 'Size
Measureme
Kaufman, Y. J. and
Submitted
Kaufman, Y. J., and
1381.
Kaufman Y.J., Setz<
Biomass Bui
Geophys. Res.
Kaufman, Y. J., anc
20, 261-270.
M. D. King, 1979:
particulates 1
Kim, H. H., Norme
Patterson, J. M. , D
run for Sahar
Peterson J.T., E. C.
north Carolii
Roger J.C., R. San 1
Atmosphere
Santer R. and M. H
/., 84,1802-If
Shettle E.P., 1984,
Radiation in
Shettle E.P., and
humidity va
Geoph. Lab.,
Tanré D., B.N. Ho
product
Tanré, D., C. Der
'Description
J. Rem. Sens.
Tucker C.J., J.R.G.
data", Science
Volz, F., 1954. Hin
Wang, M., and :
single sea
22, 4598-4'
18