taken by
ecause of
0 a forest
a), using.
'eometric
1).
aspect of
But this
itically a
it change
ses taken
such as
ing pixel
t of Oran
ed by the
e (pinus
ea While
measured
nospheric
rface 1s
Lambertian and uniform in rugged terrain, the radiance
measured by the sensor is :
PUvcos05TAIUT
hund s 2 ML (1)
where :
Es : sun radiance on the top of the atmosphere
Tes ,Tev : transmittance in the double path sun-target-satellite
p : observed target reflectance factor.
The conversion of the spectral radiance Lsa into a digital
number DN is expressed as follows:
La: 7 A.DN * B (2)
A and B are sensor calibration coefficients or gain and offset
values of the sensor.
Then : offset = -A/B & gain G=B.
The relation between the digital number of an unchangeable
pixel in the image taken at the time t, and its corresponding
pixel in the image taken at the time t; in a rugged terrain and
in similar weather conditions is expressed by :
CN; - CN, -
ref CN A
cos Q,. 1 cos 0;, 2
(3)
where a and b are coefficients normalisation of DN? with
respect to DN.
COS 0; s describes the topographic features of the pixel.
Using the derived slope and aspectas well as the position of the
pixel regarding the image geometry and sun position, its
expression is as follows :
cosQj, 7 cos0, cosÜ y * sinÜ, sinÜ cos(p, — 9p) (4)
where
6, : zenith angle
0, : slope in degrees
@s : sun azimuth
9» : aspect in degrees.
The topographic and instrumental effects have been corrected
CN —- off
COS
calculating the plans, , of every image.
is
To estimate the coefficients a and b of equation (3), some
surface objects whose reflectances were unchangeable with
time were selected to determine the regression line by taking
ground samples into account (See table 1).
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998
Table.1. mean and RMS values of the samples
and the coefficients of normalisation
Samplel Sample2 Coef. of
(sea) (ground) normal.
Bands DNmean © DNmean o a b
TM! 7/84" 81-89/>71 7220056 1035.23 1 0:70::521:17
TM1/93 7862 1.74 161.87 4.30
TM3/84 1497 0.76 14152 532650827031
TM3/93. 15.93 1.04 11926 4.51
TM4 /84- 692 “1.35 1161771 34:49-70 89-> 477
TM4/93 7.994 196 105.30 4.49
The image of 1984 was corrected and then the image of 1993
was taken as reference. The coefficients a and b of the linear
regression (3) were computed to undertake the correction in the
same conditions as of the image of 1993.
3.1.1. Results
The coefficients estimation allowed to get atmospheric
The normalisation was performed
comparing reflectances of some samples, corresponding to
unchangeable objects, taken from the paired images before and
after normalisation. The results are illustrated in the table 2 :
comparable
images.
Table. 2. mean values before and after atmospheric correction
TM samplel (sea) sample2 whole image
band/year ( forest )
DNmen 6 *DNmsas ^0 | DNmm 0
TM1 / 84 82.00 244 8692 431 10545 21.94
TM1/93ref 79.06 1.93 8148 462 96.11 1522
TMi /correc : 78.70 + 1.79 8200 3:00 ‘94.939 15,35
TM3 / 84 1488: 1.51 3156 469 5311. 2840
TM3/93ref 1640 112 2962 477 46.86 2146
TM3/correc 1588 131 2957 387 4726 2338
TM4 / 84 693 208 7485 14.15 81.96 41.23
TM4/931ef 8.73 : 1.59 71.69 10.36” 66.77: 33:51
IM4/comec 792 195 6343 1257 74.71 37.13
The quality of the relative atmospheric normalisation of images
is also pointed out by analysing the coefficients of correlation
of the paired images (see table 3).
Table. 3. correlation coefficients
band Cor.
Coef. (1)
TMI 0.9825
8d(raw) TM3 0.9921
93(reference) TM4 0.9869
TMI 0.9942
84 (norm.)-93 TM3 0.9923
TM4 0.9960
3.2. Change detection
Change detection based on atmospherically corrected images is
performed by undertaking simple combinations between the
spectral bands.
In this study a spectral ratio between comparable images at two
different dates was calculated. The band TM4 was considered
because in contains a big deal of information on vegetation.
677