Full text: Remote sensing for resources development and environmental management (Volume 1)

4,8 and 2 using the seasonal botanical variations 
or the seasonal spectral variations. 
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 
Spectral behaviour in 
red and near infra-red. 
SzaAonaZ Apzztn.aZ bzka- 
vZqua modzZ. 
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. 
Braun-Blanquet, J. & J. Pavillard 1925. Vocabulaire 
et sociologie végétale. Bull. Soc. Bot. Fr. 72: 
Brown. R.J. F.J. Ahern, 1983. Alberta rangeland as 
sessment using remotely sensed data. Centre Cana 
dien de Télédétection, Research report 83,1:128 p. 
Curran P.J 1983. Estimting green LAI from multispec- 
tral aerial photography. Photogramm. Eng. Remote 
Sensing. 49: 1709-1720. 
Everitt. J.H. 1985.Using aerial photography for de 
tecting blackbrush (Acacia rigidula) on South Texas 
rangelands. J. Range Management. 38 (3): 228-231. 
Gates D.M. H.J Keegan, J.C.Schleter,V.R. Weidnerl965. 
Spectral properties of plants. Applied Optics.4(1): 
Gates.D.M. 1970. Physical and physiological proper 
ties of plants.In Remote Sensing with a special 
reference to agriculture and forestry. National 
Academy of Sciences, Washington D.C:224-252. 
Grouzis.M. M. Méthy.1983. Détermination radiométrique 
de la phytomsse herbacée en milieu sahélien: per 
spectives et limites. Acta Oecologica. Oecologia 
Guinochet.M. 1973. Phvtosociologie. Masson.227p. 
Knipling. E.B. 1970. Physical and phvsioloqical basis 
of the reflectance of visible aœd near infra-red 
radiation from vegetation. Remote Sensing of Environ. 
1 (3) : 155-159. 
Richardson. AJ. J.H. Everitt, H.W. Gausmn. 1983.Radio- 
metric estimation of biomss and nitrogen content 
of Alicia grass. Remote Sensing of Environ.13:179- 
Thalen. D.C.P. J.A.Leemburq,R.Beck. 1980. Estimting 
aerial biomss in semi-natural vegetation from 
spectral reflectance measurementsi)Preliminary 
experiences. Acta Bot. Neerl. 29(5/6) :565-578. 
Tucker.C. J, C. L. Van Prae t, A.Gas ton, E.Boerwinkel. 1983 
Détermination par télédétection de la oroduo tion 
primire herbacée aérienne au Sahel sénégalais. 
Proiet pilote d'inventaire et de surveillance des 
écosystèmes pastoraux sahéliens.FAO-UNEP. 
Van der MaarelE. 1979. Transform tion of cover-abun 
dance values in phvtosociologv and its effects on 
community similarity. Vegetatio.39(2):97-114. 
The it 
on the mai 
ital forma 
of the Lan 
ner (MSS) 
site in sc 
such data 
Examples c 
ysis and u 
One of the 
ribes it a 
pande d to 
or form,,b 
es current 
ogist has 
ranging fi 
pedology a 
atic recor 
form of a 
of discipl 
from const 
is to depi 
ure and di 
and indica 
the develo 
mapping ex 
not forget 
have been 
most of th 
images. In 
Mitchell 1 
1980, Vers 
and deploy 
on the Lan 
images hav 
ologist to 
(1974) use 
Krinsley ( 
Iran and M 
ery for so 
ty of sate 
igations h 
false colo 
deal of ge' 
can be ext 
surficial : 
cessed dat 
as an effe 
This pap' 
i'ole that 
in future 
strating t]

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.