IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India,2002
parameters one can derive the snow albedo throughout the solar
spectrum as a function of its spectral reflectances in suitable
wavelength regions where the effect of the individual
parameters is the maximum
4. CONCLUSIONS
This study demonstrates the usefulness of field based
hyperspectral reflectance studies in the 350-1800 nm
wavelength range for understanding the snowpack
characteristics in the Himalayan terrain. Results indicate that
albedo in the visible region is not affected by the grain size or
age of snow but by the amount of clay contamination. While
the effect of contamination is not significant in the near infrared
and shortwave infrared regions, grain size is the dominating
factor in these regions. Thus, the estimates of spectral
reflectances in the visible and infrared regions give the amount
of clay contamination and grain size. Spectral reflectance
reading on avalanche debris indicates that its spectral behaviour
is similar to that of a clay-contaminated snow. The region
between 450 and 900 nm is most affected by an avalanche and
a difference of 40 % in reflectance was observed between
avalanche and non-avalanche snow. Therefore, spectral
reflectances estimated in the satellite sensor bands falling in
this wavelength region, before and after the triggering of an
avalanche, will be useful in the identification and mapping of
avalanche-affected regions. This will further become an
important input in the validation and improvement of avalanche
forecast models.
Snow albedo is mainly affected by its grain size and amount of
clay contamination. Therefore, a model for snow albedo can be
developed as a function of its spectral reflectances in the visible
and infrared regions where the contamination and grain size
have independent effects. For this purpose, detailed field
measurements of grain size and amount of contamination are
needed along with spectral reflectance and albedo data. And, it
is proposed to conduct such detailed investigations in the future
for developing a snow albedo model.
ACKNOWLEDGEMENTS
The authors would like to thank Maj. Gen. (Retd.) S. S.
Sharma, KC, VSM, Director, Snow and Avalanche Study
Establishment (SASE), and Dr. A. K. S. Gopalan, Director,
Space Applications Centre (SAC), for their keen interest in this
investigation. We thank Dr. Shailesh Nayak, Group Director,
Marine and Water Resources Group, SAC, for his comments
and suggestions during the investigation.
REFERENCES
Choudhury, B. J. and Chang, A. T. C., 1981. On the angular
variation of solar reflectance of snow. Journal of Geophysical
Research, 86 (C1), pp. 465-472.
Dozier, J., 1984. Snow reflectance from Landsat-4 Thematic
Mapper. IEEE Transactions on Geoscience and Remote
Sensing, GE-22(3), pp. 323-328.
Dozier, J., Davis, R. E., Chang, A. T. C. and Brown, K., 1988.
The spectral Bi-directional Reflectance of Snow. In:
Proceedings of the 4th International Colloquium on Spectral
Signatures of Objects in Remote Sensing; Aussois, France, 18-
22 January 1988, ESA-SP-287, pp. 87-92.
Duguay, C. G. and LeDrew, E. F., 1992. Estimating surface
reflectance and albedo from Landsat-Thematic Mapper over
rugged terrain. Photogrammetric Engineering & Remote
Sensing, 5, pp. 551-558.
Dunkle, R. V. and Bevans, J. T., 1956. An approximate analysis
of the solar reflectance and transmittance of a snow cover.
Journal of Meteorology, 13, pp. 212-216.
Hall, D. K,, Chang, A. T. C. and Siddalingaiah, H., 1988.
Reflectances of glaciers as calculated using Landsat-5 Thematic
Mapper data. Remote Sensing of Environment, 25, pp. 311-321.
Kulkarni, A. V., 1986. A field study of the visible and near-
infrared spectral reflectance and attenuation of solar radiation
by snow. M.Sc. Thesis, Department of Geography, McGill
University, Montreal, Canada, 109p.
O'Brien, H. W. and Munis, R. H., 1975. Red and near-infrared
reflectance of snow. U.S. Army Cold Regions Research and
Engineering Laboratory, Hanover, New Hampshire, CRREL
Research Report 332, 18 p.
Warren, S. G. and Wiscombe, W. J., 1980. A model for the
spectral albedo of snow, IL, Snow containing atmospheric
aerosols. Journal of Atmospheric Sciences, 37(12), pp. 2734-
2745.
Wiscombe, W. J. and Warren, S. G., 1980. A model for the
spectral albedo of snow, I, Pure snow. Journal of Atmospheric
Sciences, 37(12), pp. 2712-2733.
KEYV
ABST]
Pairs o
geome!
subseq
precon
noise-f
the um
signal-
Repeat
has en
surface
(Gens
demon
literatu
is limi
in base
speckk
sampli
improv
or dep!
like m
source
1992).
has be
unwraj
are bei
2000).
ofan
SAR ir
A phas
moduk
27 aml
for DI
Unwra
interfei
noisy
difficu
Unwra
broad]
algoritl
norm /
solutio