Environmental Decision-Making - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 245

Fig. 3.11 Radiobrightness
contrasts in the area of the
Kara-Bogaz-Gol Gulf on the
eastern shore of the Caspian
Sea as registered on board the
flying laboratory IL-18

Fig. 3.12 Pro le of the state
system image for the ' Sor
Barsa Kelmes ' saline land

—

' Ustyurt ' formed on

the basis of the IL-18 in-

plateau

—

fl ight

laboratory measurements.
Symbols designate saline

♦—

land, * the

boundary between them

plateau, +

— —

temperatures of this example are given in Fig. 3.13 and the statistical parameters of
the distributions are given in Table 3.2 . The use of brightness temperatures of multi-
channel measurements allows reliable recognition of land surfaces regardless of the
climatic zone (Fig. 3.14 ). It is easy to see that the varied distributions do not
correspond to the land surface structure. However, the parametric space expansion
increases the ef ciency of the decision system by including the distribution

characteristics.
The optimal procedure of the functioning of the decision system consists in the
joint use of the classical and sequential algorithms for data processing (see Fig. 3.5 ).
This procedure saves time and gives the operative parameters of the distributions