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

4,8 and 2 using the seasonal botanical variations
or the seasonal spectral variations.
4 DISCUSSION AND CONCLUSION
The classification of grasslands using seasonal bota
nical and spectral data must be developped according
to the following organigram given in Figiire 4.
Phytosociological releves
PltLftoAoCsLoloqZcaZ tizlzvzA
anatyAiA modoJL
Agro-ecoloqical units
definition
Spectral behaviour in
red and near infra-red.
SzaAonaZ Apzztn.aZ bzka-
vZqua modzZ.
I
Spectral and botanical classification
of grasslands.
Figure 4 .Orqanigram of botanical and spectral
classification of grasslands.
It is necessary to describe phytosociological rele
vés and classify them according to sigmatist method.
Once this step acheived, the more abundant species
are selected. They enable to define and describe
the agro-ecological units.
Phytosociological units my be converted in agro-
ecological units, but reverse is impossible as there
has been a loss of informtion meanwhile.
The agro-ecologiacl units are characterized by spec
tral behaviour, particularly in red and near infra
red wavelengths. Once their spectral behaviour deter
mined, it is possible to cluster any new relevé or
spectral set of data to one or another agro-ecologi
cal unit.
On the contrary it is not possible to define first
a spectral behaviour and then try to create agro
nomical units as the worse agronomical value.units,
on very dry or on muddy soils show spectral beha
viour similarity and are difficult to separate.
It is the first time that a combined botanical and
spectral classification is tempted. It has been ela
borated in order to use reflectance values measured
in the field for green biomss evaluation, and sate
llite data for grassland classification and survey
over large areas.
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