Geoscience Reference
In-Depth Information
point surface measurements in addition to information
flow stabilization in the event
of the information collection system failing. The program package also realizes the
description of the dynamics of the moisture and biological, physical, chemical and
energetic processes in the interaction between the soil, vegetation, atmosphere and
energy sources including factors of anthropogenic effects.
The adaptation of the information processing units to the actual conditions in the
region studied is accomplished by introducing sets of coef
fl
cients and characteristic
dependencies.
The trend-correcting and decision making units are based on evaluating the state
of the object under consideration, predicting its development, and ascertaining the
sensitivity of the system to potential production and technological measures put
forward by experts.
Let us now list some of the features of the GIMSAF and some of its differences
from similarly designated systems:
•
use of remote radiophysical sensors pickups providing area, operative and
quantitative information on the state of objects;
•
ability to function at various levels of information support (remote, surface and a
priory data set or part of them or without such data);
•
fully open to further development regarding technological and software support
and full compatibility with any sensor,
information, consulting, and expert
systems;
•
algorithms that have the ability to adapt make the system self-regulating and, in
particular, noise immune;
•
compatible means of bringing about production and technological decisions.
Application results are expected to include:
•
obtaining reliable operative, area and quantitative information on the parameters
of the object and its general state with prediction;
•
evaluation of the expediency and ef
ciency of anthropogenic effect on the
agriculture and melioration objects;
•
optimum productional and technological decisions made with the help of a
simulational experiment and providing an increase in the object control
ef
ciency.
Developing GIMSAF based on a joint use of remote measurements, in situ data,
GIS information and mathematical modeling of temporal-spatial variations in soil-
vegetation systems in local, regional and global scales needs the following sub-
systems and phases of whole system accomplishment:
•
Dual-channel multi-polarized SAR measurements from spacecraft with a spatial
resolution of 5
10 m for obtaining basic/strategic/global information about the
condition of corn crop
-
fields.
•
Selective dual-channel multi-polarized SAR measurements from aircraft with a
spatial resolution of 1.5
-
5 m for obtaining synchronous with spacecraft infor-
mation about the condition of agriculture vegetation in a regional scale.
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