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