The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
1140 
in collapse, surface-to-dot patterns. From the spectral 
characteristics analysis, due to the fact that subsidence land are 
composed of green space, wasteland, water and building land, 
its spectral characteristics can not describe as a unified model, 
based on the direct use of spectral characteristics is very 
difficult to extract. The SAR and TM images can not form 
stereo images, failed to achieve the elevation monitoring, and 
the elevation changes in land surface mining area is the main 
evolution form - the essential feature of the ground collapse, 
then we can use interfere SAR images to establish DEM, while 
use the existing DEM data to compare the measured values of 
interfere with the levelling/GPS measurements, analysis of 
interfere measurement accuracy used to the surface deformation, 
finally, get ground subsidence rate change map and changes 
circumstances. 
(5) Vegetation growth and soil moisture information extraction 
Different crops have their own geometric Structure, canopy 
roughness and moisture content. The different parameters after 
the scattering are very sensitive in radar images. At the same 
time a different crop growing season, the geometric structure, 
canopy roughness, the water content is also different, can also 
use these indicators to assess phase change of crop parameters; 
when the soil moisture content changes, it will changes in 
dielectric properties, radar is very sensitive to this, so radar 
images can also be used for the assessment of soil moisture. 
(6) Surface features changes extraction 
Features change detection of the adjacent phase has two 
methods with the comparison after classification and image 
difference comparison. At present major research focus on the 
help of background knowledge in the GIS for extraction. 
Comprehensive previous research results, the paper adopted a 
hierarchical method of extracting information changes, through 
the creation of knowledge and decision tree approach to land 
information change detection, established the main features 
characteristics of the evolution type. Such as: farmland and a 
stack of arable land, cultivated land in the area from the 
morphological changes in the region (only extract to reduce 
region), and then extract the changes in the region, with green 
space, construction, land subsidence and to conduct analyses 
and judgments if construction sites were in the area. 6 
6. RESULT AND OUTLOOK 
Using Landsat ETM + and ENVISAT fusion images for land 
surface information monitoring in mining area, established the 
land resources remote sensing classification system, and 
comprehensive results of previous studies on the extraction of 
land resources in the mining area. Further discussed the method 
of microwave remote sensing for ecological environment 
monitoring in mining areas, it is pointed out that the SAR 
images can be quantitative analysis of hydro geological 
environment, the growth of crops and vegetation, land cover 
and soil resources, the INSAR images can be extracted collapse 
and change information. Research shows that the use of multi 
source and multi-temporal images, fusion technology of TM 
and SAR images, could be favorable of dynamic monitoring for 
the ecological environment in mining areas, and provided basic 
data for exploitation of mining resources. 
REFERENCES 
References from Journals: 
Ge, L., X. Li, and C. Rizos,2002. GPS and GIS sssisted radar 
interferometry. Advanced International Workshop on InSAR for 
Measuring Topography and Deformation of the Earth Surface. 
Hong Kong, pp. 16-17. 
Peng Suping, Wang Lei,2002. Monitoring the seeper subside in 
coal district by the remote sensing. Journal of China Coal 
Society, China, pp. 374-378. 
Rizos Chris, Ge Linlin, Nesbitt Andrew,2003. The integration 
of GPS, satellite radar interferometry, and GIS technologies for 
ground subsidence monitoring. In Spatial Science, Canberra, 
Australia, pp. 22-26. 
Strozzi, T., Wegmuller, U., Werner, C.,2001. JERS SAR 
interferometry for land subsidence monitoring. The 3rd 
International Symposium on Retrieval of Bio and Geophysical 
Parameters from SAR Data for Land Applications, Sheffield, 
UK, pp. 11-14. 
Xie Hongquan, Hu Zhenqi,2004. Classification system of land 
use/cover in mining area based on RS. Journal of Liaoning 
Technical University, Fuxin, China, pp. 721-723. 
References from Books: 
Du Peijun, Hu zhaoling,2005. A study of the monitoring and 
modulate of terrestrial surface evolution in mining areas. 
Geological Publishing Company, Beijing, China, pp. 33-40, 92- 
96. 
Guo Huadong,2000. Theories and application of Radar for 
earth observation. Science Press, Beijing, China, pp. 222-234. 
Yu Yaqiu,2005. Theory and method for data validation of 
space-borne microwave remote sensing. Science Press, Beijing, 
China, pp. 236-242.