Full text: Mapping without the sun

Kaixuan Zhang,Wenbo Wu,Chongchang Wang,Tingjun Kang 
School of Geomatics, Liaoning Technical University, Fuxin Liaoning, 123000, China 
E-mail: zhangkaixuan@126.com , tel: 13904182996 
KEY WORDS: Land use; Remote sensing; Driving force ; mining district; the multi temporal remote sensing data;Shenyang 
The study of the urban expansion and proportion of the land use type occupied by the urban in the period of 6 years from 1976-2005 
in Shenyang mining strict was carried out with the remote sensing thematic information extraction and spatial overlay techniques 
based on the multi temporal remote sensing data, social and economic data and other assistant information. Moreover, the driving 
force of the urban expansion in Shenyang mining district was also analyzed. The result revealed that the residential area of the 
district was increased from 1978-2005, and the change extent from 1995-2001 is the maximal. Analyzed with economic and social 
statistics of the district, we obtained the causation of the residential area change: the output of the coal was increased year by year, 
and the building of the mining district developed fast during the period of 1981-1995, it forced the economic developed quickly and 
the area of the residential increased quickly. At the same time, the construct of the mining district used too many plantation, and the 
subsiding land increased quickly, so the amount of the plantation decreased year by year. Because of the recognition to the mining 
district and the protection of plantation was increased during the period of 2001-2005, the amount of the plantation decreased, but 
the change was very small, and the dry land was increased. The result showed that the main driving force were subsiding land the 
increase of population. 
Shenyang mine district is located in south of the northeast china, 
center of liaoning province,E122 25 9' to 123 48' 24'' ,N41 
11 51'' to 43 2 13'. It is an annual output of 10 million 
tons of large enterprise groups - Shenyang Coal Industry 
(Group) is located.Puhe mine and Qingshui mine located in the 
northern part of shenyang. cover 62km 2 , Linsheng mine (first 
mine) , Hongling mine (second mine) ,Hongyang mine and 
Xima mine are located in the southern part of shenyang ,covers 
261 km 2 ,Xima mine and the other three don’t contiguous. 
Aimed at research needs ,we chose three southern Shenyang 
mine as the study area Linsheng mine Hongling mine and 
Hongyang mine will cover the about 200 square kilometres. 
In order to study the mine district from the construction of 
mine to the status of land evolution, we chose multiphase 
Landsat,CEBERS,Quickbird as data source. Remote sensing 
data source specific as follows: 
In order to constitute resource monitoring and management 
systems we also collected remote sensing data of non-mine 
district, include the following information : 1976,1995,2005, 
1:2,000 topographic map; 1996 Land Use Survey data and 2005 
survey change data; Eight mine maps, administrative divisions, 
Mine border occurrence of coal resources, the the status of 
exploitation, tectonic and geological disasters distribution maps, 
land use maps mine, environmental monitoring data (water, 
noise, air, ground subsidence, land reclamation), humanities 
In the mining area of land resources changes, accurate 
extraction of each phase of the land use / land cover 
information as well as temporal image is accurate registration of 
land use dynamic information access to the basis [1], and the 
remote sensing images can be enhanced with the integration of 
images to enhance the image resolution to the classification of 
information. So during dynamic information retrieval, remote 
sensing data have to pretreatment, including the following two 
steps. First, geometric correction and registration; Second, 
image enhancement and integration 1 [2] . 
2.1 Image geometric correction and registration 
In order to receive the different stages of the study area of 
remote sensing images under the same base,we must make 
geometric correction for different period remote sensing 
images and cut out the same scope of the study area. To 
enhance the adjacent phase of the remote sensing image 
matching accuracy, guarantee the accuracy of the total 
registration under the conditions When will the adjacent remote 
sensing images for a second registration. The results proved to 
be more accurate from the land use / cover change information. 
2.2 Remote sensing image increase 
Image enhance can make the image clearer, and conspicuous 
image information can improve classification accuracy of the 
information, there many ways to enhance image, such as linear 
or nonlinear tensile space transformation such as K-L transform 
K-T transform and IHS transform) various filter histogram 
equalization and various false color composite technology, in 
the test we selected linear stretch for the image processing to 
enhance mine prominent road information, achieve the purpose 
of extracting information.

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