The Application Study of RS and GIS Technology
in Environmental Remote Sensing
Investigation of She Fu -- Dongsheng Coal fields In China
Lei Jiannian Gao Huijun Qiu Shaopeng Zhang Guangchao Zhang Feng
(Remote Sensing Application Institute of ARSC,Xi'AN 710054 China)
Abstract
The regional invesgation and
evaluation quality becomes global
focus with the conception of
continued development accepted
universally .In 1998,Remote
Sensing Application Institute of
ARSC completed the investigation
of ShenFu - Dongsheng coal fields
which was implemented by means
of remote sensing and GIS
technique .The project provided
the scientific evidence as a
successful attempt regarding the
policy of both reasonable coal
exploitation and environment
protection.
The investigation of
environment quality was owed to
TM image interpretation
combining with field investigation
and ground reflective wave test.
The analysis of environment
quality was based upon multi-period
remote sensing
interpretation and routine
inspection data. Remote sensing
information and routine
information were conducted by
quality synthetic evaluation
system attributing to GIS
Application which enabled coal
field environment quality synthetic
evaluation to come true and the
proposals to put forward
concerning coal exploitation
environment protection and
management.
TM5,4,3 wave synthetic image
obtained in 1987 and 1996 with
the enlargement at the scale of
1:1000 by means of mosaic proof -reading
benefits the field
investigation assuring indoor
mapping with accuracy. Not only
does the image provide the vision
of landforms, vegetation, earth's
surface ingredients, coal mining,
transport and other large-scale
engineering projects but also it
makes a good response to air
pollution aroused by some
polluting sources as small coal pit,
coke pit without exception of
building, power, and iron-smelting
enterprises.
The investigation of
environment quality begins with
primary interpretation. It conducts
the investigation in typical area as
the first
procedure and establishes the interpretation sign as an
environment factor on TM image.
Then the investigation perfect the
interpretation sign expanding to
the whole area.6 maps of
environment quality covering
33,000 km2 respectively at the
scale of 1:100,000 are
implemented by environmental
interpretations and investigation
with the application of
MICROSTATION geologic
mapping software pack. The
spatial distributing features were
accurately represented by the
forms of vegetation
desertization,soil erosion,surface
water pollution,air pollution,solid
waste and other elements.
Through the interpretation of
multi-period remote sensing image
and the comparative analysis of
routine data,the environment
factor develops as a trend of less
soil desertization after 1987.
Severe and average desertization
reduced 28.5%. Soil erosion
remarkably lessened. In 80's,river
silt discharge decreased 56.18%
compared with 50's and 60's.
Environment quality synthetic
evaluation system is based upon
layer analysis theory raised by
American operational researcher
T.L.santy and GIS technology.
The evaluation cannot be
conducted by manual work
because of its large range and huge
data. However,it is the compute
with ARC/INFO3.4 software that
devotes to the establishment of
managing system ranging from
digital mapping of environment
factor,the calculation of weight in
different layers,imitation and
environment factor data synthetic
processing to the display of
synthetic evaluation achievements.
The total 24 maps were
completed in the investigation.
The coal field environment quality
is classified as the degree of 3
class 9 in the first ration
accordingly. They represent the
characteristics of environment
quality spatial distribution. These
characteristics indicate that the
environment quality in whole area
is poor,the good quality part
merely takes 16.61% of whole
area; the framework of
environment quality manifests
south superior to morth and west
superior to east. As coal mining
construction is developing
rapidly ,environment quality has
worsened severely in middle are.
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