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Title
Remote sensing for resources development and environmental management
Author
Damen, M. C. J.

ipment stages
i dates since
:al Stage
’hase (70-80)
i’hase (85-95)
se(125-135)
ding to 22nd
been used to
led out of 1:
omenological
INES.
three of the
/n in figure 2.
DC). A clear
r types of the
iage rice and
significant.
: reflectivities
classification.
• of bordering
titude in the
in categories,
an and citric -
to the smaller
nds chosen as
other band
ements. The
iluation of the
g prior to per
h class values
hnique of the
it ion. But the
VI instead of
ited a better
e out of the
U ST
160 180 200
E X
ndex images.
7 th AUGUST
Figure 4. Spectral response, in digital counts (DC), of several
rice varieties in bands 4 (B4) and 5 (B5).
procedure applied to the smoothed VI images of the three days
considered. This technique gives good results for July and
August. However, it is not applicable to the September image
where the small differences in bands 4 and 3 between rice and
citrics, figure 2, cause that the degradation of the image, VI,
eliminates its possible application to the discrimination between
rice and citric orchards.
Test areas of 3 x 3 pixels are very well classified for each class
with the smoothed VI image. However, smaller parcels, 2x2
pixels, of urban or citric - vegetable zones are hardly
distinguishable. Test area size of 2 x 2 pixels of urbanized class
confuse themselves with those of the same ground size with
short vegetated cover.
The overall classification of the zone sets up 3730 ± 70 ha of
rice, 1910 + 40 ha of citric - vegetables and 153 ± 4 ha of
urbanized areas, 105 ± 2 ha are not classified.
The image of 7th August for the area of La Albufera offers a
greater distinction between the five varieties of rice studied.The
image of September corresponding to the harvest phase is
completely useless as it is expected from the study of the Sueca
area. Finally, the image of July which corresponds to a less
advanced period of the maturation phase is less significant.
Figure 4 shows a measurement of reflectivity expressed in digital
counts (DC) of the different varieties.
The most significant measurements, as far as the distinction of
varieties is concerned, are obtained in bands 4 and 5. Thus,
figure 5 is a bidimensional diagram constructed from the image
of August where the spectral classes, Bahia y Sequial are
separated. It does not seem to be possible to separate the other
varieties but its proportion is not significant, less than 1%.
A first estimation of the zone of La Albufera gives overall
results of culture of the variety Sequial higher than those
supplied by the local public institutions. The results are partially
obscured by the different degree of maturation of the varieties.
We understand that a more complete treatment of the
measurements (for example, of principal components [Richards,
1984]) in an image corresponding to the maturation phase, could
give a separation between the varieties Bahia and Sequial. We are
trying now to locate test parcels (those of which inventary does
not exist) to be able to evaluate the results of principal
components analysis.
4. REFERENCES
Atkinson, P., Cushnie, J.L.,Townshend, J.R.G. & Wilson, A.
1985. Improving Thematic Mapper land cover classification
using filtered data. Int. J. Remote Sensing,Vol. 6, № 6, 955
- 961.
Berg, A. & Paretesi, S. G. de, 1980. Some significant results of
a remote sensing experiment under European conditions
(Agreste Project).Int. J. Remote Sensing, i, 3.
Commission des Communautés Européenes (CCE).
Etablissement d'Ispra, 1982 - 1984. Prévision des
7th AUGUST
B
A
N
D
4
120 .
118 •
116 ■
114 •
. o RUBINO
112 •
110 •
. o UDO
108 -
106 ■
. o BAHIA
104 ■
102 •
100 •
1 1 1—
PIERINA o
o
SEQUIAL
h 1 1 1 1 1
54 55 56 57 58 59 60 61 62 63 64
BAND 5
Figure 5. Spectral response, in bands 4 (B4) and 5 (B5) of
several rice varieties, in digital counts (DC).
productions rizicolespar télédétection dans le bassin du Niger
en amount du Delta Central Nigérien. Project F. E. D.
№ 4507.03397.32.
Commission des Communautés Européenes (CCE).
Etablissement d'Ispra, 1978. Agreste Project: Agricultural
resources investigations in northern Italy and southern France.
Patel, W. K., Singh, T. P., Balder Saha & Patel, M. S.,1985.
Spectral response of rice crop and its relation to yield and yield
atributes. Int. J. Remote Sensing,Vol. 6, № 5, 657 - 664.
Richards, J. A., 1984. Thematic mapping from multitemporal
image data using the principal components transformation.
Remote Sensing of Environment, 16: 35 - 46.
Toll, D. L., 1985. Effect of Landsat Thematic Mapper sensor
parameters on land cover classification. Remote Sensing of
Environment 17: 129 - 140.
ACKNOWLEDGMENTS
We would like to thank EARTHNET - NPOC SPAIN for supplying
the Landsat 5 (TM) tapes and the FEDERACION DE
AGRICULTORES ARROCEROS DE ESPAÑA for their assessment.