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

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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
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Figure 5. Percentage of the vitality groups
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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).
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