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Title
Mapping without the sun
Author
Zhang, Jixian

250
3.2Monitoring analysis based on results of classification
Make compare and analysis of remote sensing images of
different time. Make Statistics of two phases various types of
conversion between the areas, through the transformation
matrix method, thereby establishing a conversion to the type of
target transformation matrix. Matrix can be passed to the
changing situation, Conversions area which we pass right
through classification map GIS analysis function for the vector
stack and see the area measurement Table. 3-1, 3-1 map, the
map 3-2.
4 MINE TIME ANALYSIS AND STUDY OF
LAND USE CHANGE DRIVING FORCE
We make research on land resources in time and space
characteristics of the dynamic changes of quantitative analysis,
to grasp the study area distribution, change mechanism and the
driving factors for the sustainable development of mining areas
and the establishment of related policies and provide
information to support decision-making. We first look at the
mining area of land resources changes in the evaluation
background factor, expression that is the driving force of
evolution relevant factors; the main factor is related to the
exploitation of resources and geographical environment, socio
economic factors.
Time series analysis with the aim of understanding the given
time to study land use and the time frame state of the series
changes [9] , that is to examine the number of residential areas,
ways and intensity with time change.
1 x Analysis of mine land number change
Mining district construction the first to reflect the changes in its
total area changes over time, by analyzing changes in the total
area, can understand their situation and the changes in the law.
1976-2005 area residents increased 37.3km 2 . 1995-2006 area
residents increased 21.1km 2 . It can be found from 1976-2005
that residents in the area have always been on the upward trend,
1995-2001 periods in which has the greatest change. Mine
with the socio-economic statistical data, we can draw the
reasons of residents change from comprehensive: during 1981-
1995,lingshen mine and hongling mine are in a period of
development and growth, coal mining capacity has increased,
the rapid development of the mining area, stimulating regional
economic development, residents of the area to increase
substantially. Meanwhile mining area of the building occupied
large amounts of farmland, in addition to the increasing
intensity of exploitation caused a large area of ground
subsidence, thus the quantity of arable land has been on a
steady downward trend. During 2001-2005, the state of mine
safety and the importance of farmland preservation efforts
boosted the total area of cultivated land in general, while still
showing a decreasing trend, but not significantly, the dry land
area also increased slightly.
2> Dynamic changes of mine land
4.1Analysis of Spatio-temporal changes in land mine
Space-time analysis of the information derived from
topographic maps, statistics, historical information and remote
sensing data. Analysis and processing of the data needs a range
of techniques. The matured technology, including methods of
mathematical statistical methods, remote sensing, geographic
information systems and modeling method, These methods
used to study the phenomenon described and explained in
forecasting and policy formulation optimization, using GIS
technology and spatial data analysis methods for space-time
characteristics of the analysis, data can be characterized more
intuitive and image.
4.1.1 Time Series Analysis
Here from a single land use dynamic formula to the
quantitative description of the inhabitants of the region's land-
use change speed, a single type of land use dynamic degree of
regional expression within a certain period of time some type
of land-use change in the number of formula expressed as:
K =
U.-U n 1
u.
x — xl00%
T
(4-1)
Ua, Ub were beginning to study and research the end of the
number of residential sites, T to study long hours, When T set
for the year, K time to study the residents within the site, the
rate of change.
Using the above formula calculated a different kind of
Land type
1976-1981
1981-1995
1995-2001
2001-2005
Water land
-0.62%
-0.57%
-2.31%
0.89%
Residential land
2.66%
2.25%
6.21%
1.00%
Road
3.62%
2.97%
2.55%
0.97%
Dry land
-1.73%
-1.74%
-3.61%
-3.02%
Water
-0.37%
-0.71%
-1.44%
-3.45%
Table.4-1 the change rate of all type of research areas