262
Table 6. Pearson correlation coefficient (r) matrix for
AVHRR surface parameters and antecedent precipitation
for Tambacounda.
1) Pvis
2) Pnir
3) Palb
4) NDVI
5) Tsuj-
6) Pp’t (2 -wks)
7) Pp’t (4 wfas)
12 3
1
.25 1
.83 .64 1
-.80 .29 -.37
.32 -.57 -.11
-.67 .10 -.25
-.65 -.02 -.27
4 5
1
-.67 1
.85 -.49
.79 -.44
6 7
1
.97 1
Table 7. Pearson correlation coefficient matrix for
AVHRR surface parameters and antecedent precipitation
for Podor.
antecedent precipitation events or green leaf
vegetation changes. The bright soil/substrate
contributed to a high albedo for the dry related
scenes, whereas the high internal leaf
reflectance in green vegetation canopies in the
near-IR contributed to high solar albedo for the
wet scenes. Furthermore, the relationship
between solar albedo and ground temperature was
poor, indicating the solar albedo has little
control of the ground temperature. NDVI and the
derived visible reflectance were more sensitive
to green vegetation changes than were near-IR
changes as indicated through comparisons with
antecedent precipitation.
5.0 ACKN0WLGCK3EMENTS
1 2 3 4 5 6 7
1) Pvis 1
2) Pnir •38 1
3) Palb .79 1
4) NDVI -.82 -.02 -.62 1
5) W -15 -.41 -.07 -.49 1
6) Pp’t (2 wks) -.56 -.02 -.41 .72 -.53 1
7) Pp’t (4 wks) -.64 -.14 -.52 .75 -.52 .88 1
We thank G. Asrar and R. Murphy of NASA
Headquarters for supporting this research under
RT0P 677-21-24. R. Irish, ST Systems Corporation
provided support for image rectification and
registration and R. Kennard, ST Systems
Corporation, provided image processing
assistance.
Several problems affecting the derivation of
surface biophysical parameters were examined.
Correction for post-launch radiometric
calibration and atmospheric correction in a
multiple scattering atmosphere were indicated to
substantially affect the derived surface
reflectance. To correct for atmospheric effects
when deriving a surface spectral reflectance,
surface horizontal visibility (to estimate an
aerosol optical depth), and surface dew point
temperature (to estimate a water vapor optical
depth) were used in an atmospheric radiative
transfer model. The range of Sun zenith angles
for the study minimi zed much of anisotropic
variation affecting the derived surface
reflectances. The AVHRR narrow band visible and
near-IR derived reflectances were used to
estimate a solar albedo. In the transformation
procedure a middle-IR reflectance was estimated
by multiplying the visible reflectance by 1.5.
The relationship between visible and middle-IR
reflectance for a vegetative surface is frem a
related absorption of solar radiation by plant
pigments in the visible and by leaf water in the
middle-IR, coupled with leaf internal scattering,
likely form from refractive index
discontinuities. The near-IR radiation
interaction in a leaf is typically either
transmitted or reflected with little to no
absorption. In the conversion model, the
spectral composition of the solar irradiance
(ultraviolet, visible, near-IR, and middle-IR)
was indicated to be insensitive to clear sky
atmospheric optical depth changes, thereby
improving on the estimation of a solar albedo.
NDVI estimates frem the visible and near-IR
ground reflectance were used to adjust the split-
window derived sea surface temperature to a land
surface temperature.
The estimated biophysical parameters were
obtained for 17 dates for two sites in Senegalese
area of the western sub-Saharan. The dates
covered spectral data frem the years 1981-1985,
representing both dry and wet periods. Satellite
derived parameters were compared to surface
meteorological data of precipitation, air
temperature and atmospheric moisture. Solar
albedo estimates did not change markedly with
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