The statistical data mainly includes: agriculture sta-
tistical data ( production facilities, livestock struc-
ture and numbers ), the social and economy statis-
tical data, disasters statistical data etc..
(3) Remote sensing information
Including the meteriological satellite receiving sys-
tem and the Image processing system. The image
processing system receive the original spectrum in-
formation from the satellite receiving system ac-
cording to the operation commands and demands
from the command center, and extracting the nece-
ssary analysis method from the analytical tool box,
and if necessary, check the required attribute in-
formation by the database management subsystem,
and process and calculate the original spectrum
information, sort out the corresponding remote sen-
sing information and pass them to the database ma-
nagemant subsystem.
3. Information management subsystem
The main task of the information management sub-
system is to pack the information into the database
fram which have been designed according to given
data mould structure, and form the database with
uniformity record format. On the other hand, to
pack the remote sensing information into the remote
sensing mapbox in the form of phaseposition, and
attribute, as the style of documents. In addition,
the information management subsystem can provide
the operation of look, check, delete, edit, update
and usual calculation etc. for the records and map
with multiple forms ( including logistic form), and
can sensitively alternate the calculation for the
attribute and image.
4. The information processing subsystem: its task is
to pocess the information by the machanical opera-
tion model or the intelligent model according to the
management aims, and get the results used for the
management departments or other users, and pass
the information to the information transmission sub-
system after sorting, in the same time, save to the
database. In this process, the aims was given by
users. Untill now, the system can provide three ana-
lytical aims:(1) The grassland productivity estimate,
(2) The evaluation on the forage-livestock balance
of the grazing rangeland system.(3) The grassland
disasters estimation.
The information processing can be divided into two
methods:
(1). The mechanical model processing method:
According to the analytical goals, the model mana-
gement subsystem transfer concerned analytical mo-
del from the database adopted by the model mana-
gement subsystem and by the concerned analytical
tools. In addition to setting up the models, the
model management subsystem carry out the manage-
ments according to the proviously types and diffina-
tions of the models and provide the operations of
check, look, delete,edit,update etc. for the models.
The model box can not only provide analysis models
for the digital calculation, but also provide the lo-
gistic modelling models of the non-digital calculation
for the changing borders and changing parameters.
(2). The intelligent analytical processing methods:
These mainly composed of various expert systems,
e.g. the self-distinguishing expert system of the
grassland types, the estimating expert system for
the grassland environment quality suitability, the
grassland water and soil conservation expert system
etc. The intelligent model assists the analysis in
order to solve some problems which concerned mul-
tiple factors, complex relationships and which is
with sophisticated entirety or comprehension and of
which it is difficult to process better with other
analytical means.
5. The information communication and transmission
After sorting, the goal analytical results were tran-
smissioned to management or Strategic departments
or other users according to given formats ( maps,
texts, tables etc.) by means of micro-weave commu-
nication facilities (fax, telegram etc.) or the satelli-
te communication technology.
V. SUMMARY
The above technical system and the models, after
testing on the typical area of Inner Mongolia range-
land, proved to be feasible. Using the NOAA-AVHRR
data, the precision for the £rassland production es-
timate can reached more than 95%. So, setting up
the dynamic monitoring system of the rangeland re-
sources for large area, can fully satisfied the de-
mand of the grassland macroscopic management.
REFERENCES
Li Bo et al.1990.The Steppe of China, Science Press
T. F. Allen and Starr T. B. 1982. Hierarchy: Pers-
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£o Press, pp. 310
Chen Shu-Peng, 1990. Remote Sensing Monitoring and
Forecasting of The Natural Environment Vicissitudes.
Remote Sensing Utilization. The Exploration of The
Geography, Vol. 3. pp. 124-129. Science Press
Xu Guan-Hua et al. 1988. The Expert System for
Distinguishing Remote Sensing Image, Remote Sens-
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