Information-Modeling Technology for the Environmental Monitoring - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 28

6. The criterion function of the model, which allows the veri cation of the cor-

rectness of the environmental knowledge and suggests the ability to model the
experiment for the purpose of receiving new information.

1.3.3 The Global Information-Modeling System-Based
on Monitoring Systems

Structural filling of the real information-modeling system depends on several cir-

cumstances. The owner of the system may have requirements that are not performed
as part of the basic version of GIMS. In this case the additional items are syn-
thesized and basic version of the GIMS is built by connecting the new items to the
central information line. Some experience of such procedures is presented in
Table 1.4 that features a series of regional information-modeling systems (RIMS)
synthesized during the last time.
The composition of real GIMS starts with analysing all the data on the moni-
toring subsystem. Usually these data are used to develop the methodology of
sharing the remotely sensed data, the in situ measurements and information per-
manently collected from the existing meteorological stations which provided non-
stop measurements of precipitation, soil moisture, soil and atmospheric temperature
at different levels, and other data. In the case of RIMS-B, the availability of all this
instrumentation and corresponding data allows the development of a management
technology for non-stop monitoring of soil moisture and moisture related param-
eters, such as dryness index, risk of water shortage in local areas, drought, and
others.
As seen from Table 1.14 the GIMS technology has been successfully tested and
applied in many regions. It has shown that the advantages of applying GIMS
provide firstly the following capabilities:

to design the in-situ and remote parts of the experiment optimizing customer
requirements for data quality and cost;

￿

to simulate the actual measurements along the flight line in the form of maps,

with the collection of the in-situ measurements and remote observations not
using scanning technologies, which is extremely cost-effective;

fl

￿

to forecast/predict the behavior of the examined environmental/geophysical

￿

subsystems; and

to expand the scale of the examined areas from regional to global by combining
optimally the volume/amount and the essence of the in situ and remote obser-
vations and by using these operational data in the modeling process according to
the required algorithmic and computer programming tasks.

￿

Each implementation of GIMS technology has theoretical and experimental
section which has both its general concept and also the development of its speci c

spacecraft, aircraft and ground-based platforms. Therefore, the actual composition