324 
37 ostimi! 
44 whist mil 
37 0 Stl mid 
44 whist min 
49 whistmn 
50 whist 
38 bsrliyn 
38 bsrliy m id 37 OStSrnln 3® whsstmin 
38 bsrliymin 49 whsstmin 58 whistmix 
53 whist 55 whist 
38 whistmix 36 whsstmin 
56 sugar-beet max 
42 sugar-beet max 
56 sugar-beet m8 d 
42 sugar-beet me{ ) 
56 sugar-beet* 
57 turnip 
42 sugar-beet„ 
Syrr, 
LAI 
on t 
B.Tun 
Optical 
ABSTRAC 
Figure 4. Results of the hierarchical application of the productivity criterion, 
a: for grain crops, b: for beet crops. 
fig.5 corn canopy beet canopy 
I 
ÏÏ 
m 
0,7 
0,5 
0,2 
2,5 
1 
OA 
1,6 
1 
0,3 
I 1 1 ! I 1 1 1 ! 
ooooooooo 
[%] eaJB 
levai 
I 
TL 
m 
Æ 
Y 
YL 
ground 
cover 
1 
1 
0,9 
0,7 
0,5 
0,3 
bioma** [TÇj] 
3,5 
2,5 
2 
1,5 
1 
0J6 
LAI 
5 
A5 
3,5 
2,5 
1,5 
0,8 
Figure 5. Percentage of the vitality groups 
on the total field area. 
REFERENCES 
Barsch, H.; Marek, K.-H.; Sôllner, R.; 
Weichelt, H. 1984. Investigations of spec 
tral characteristics of natural objects 
in testsites of the GDR. International 
Archives of Photogrammetry and Remote 
Sensing XXV, A7: 75 - 84. 
Bauer, M.E.; Vanderbilt, V.C.; Robinson, B.F. 
1980. Spectral properties of agricultural 
crops and soils measured from space, aerial 
and laboratory sensors. International 
Archives of Photogrammetry and Remote 
Sensing XXIII, B7: 56 - 73. 
Miguet, I.N.; Baret, F.; Guyot, G. 1983. 
Estimation de la production du bee a 
partir des mesures radiometriques daus les 
canaux 5 et 7 de landsat. Resumes - 
Colloque International Signatures spec 
trales d’objects en telediction. 
Vasiliev, L.N.; Vedesin, C.A, 1983. Issledo- 
vanie geosistem na poligonach socialisti- 
ceskich stran v 1982 g. 
Issledovanie zemli iz kosmosa. 3: 120 - 
121. 
Vasiliev, L.N.; Kacinski, R. 1984. Metod 
ispol'zovanije klasterov dla ozenki ugodij 
po mnogozonal’nim snimkam. Issledovanie 
zemli iz kosmosa. 5: 94 - 99. 
The figures 4a and 4b show the results of 
the hierarchical application of the pro 
ductivity criterion to the target quantity 
formed by clustering. 6 resp. 3 ranks 
resulted from the application of the vita 
lity criterion to the cluster quantity 
(with grain crops 15 cluster, with beet 
crops 6 cluster). The order of the clusters 
from left to right corresponds to the 
decreasing degree of productivity. The 
targets corresponding to the clusters were 
identified by a geometrical assortment, in 
case of a repeated appearance in the order 
they were marked according to the rank 
either "min" (minimum productivity) or 
"max" (maximum productivity) and then 
adjoined to the clusters. The ascertained 
orders were in total concurrence with the 
orders of the indices of the yield forma 
tion which could be derived from the soil 
measuring data as biomass or leaf area 
index (fig . 5). 
LANDSAT 
satelli 
obtain 
tion mt 
Three 
been de 
intercc 
the spi 
enviror 
The ; 
evalual 
1 If 
The ne 
efficii 
recognj 
States 
tion c 
tradit; 
certair 
the gr 
and Ha 
estimai 
crop f 
which i 
other i 
the fee 
unique 
consisi 
An a. 
Kauth 
a fixei 
dimens, 
spectrs 
cultun 
(Hall, 
the ti 
changes 
matter 
Othe: 
Rouse 
1978; I 
tain m 
in an 
LANDSA' 
ground 
It i 
number 
data c 
quanti 
selecti 
variab 
In t 
succesi 
MSS da 
Contro. 
crop c 
survey 
ses by