International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004
0.36
0.33
| 0.30
0.27
0.24
0.21
0.18
] 9.15
0.12
0.09
0.06
0.03
0.00
raa
180°
e
e
LO
45.0
37.5
30.0
Figure 6: Modelled NIR reflectance for olive grows where
NIR - VIS = (NIR — VIS) mean — (NIR — VIS)stddev
e ed
x
S,
\ 0.36
0.33
0.30
0.27
0.24
0.21
0.18
0.15
0.12
0.09
0.06
| 0.03
* 0.00
52.5
45.0
37.5
30.0
22.5
15.0
7:5
0.0
vza
Figure 7: Modelled NIR reflectance for olive grows where
NIR - VIS = (NIR — VIS) eus + (NIR —- VIS) die
4 CONCLUSIONS
It has been shown that the NTAM possesses a big potential to
reduce BRDF effects in AVHRR imagery of Spain. This is
quantitatively expressed by the good results in model inversion
for the two channels and on practically all land cover classes.
Apart from the good results, the main advantages of the NTAM
are its physical foundations and its simplicity, as only one set of
parameters for land cover class and channel has to be provided
to correct for the whole vegetation period.
The derived correction parameters offer a great potential for
interpretation of land cover specific biophysical properties.
Results of the forward mode of BRDF correction are not
discussed in this paper. Future work should address the
transition pixel problem which is enhanced in the forward mode
of BRDF correction. As landscape in Spain is obviously
structured on a larger scale than Canada, the land cover based
approach is to be further investigated.
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