International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
Liang, A, Wang, A, Wang, J, 2002. Study on automatic 
classification and accuracy analysis of remote sensing 
image based on SAM. Remote Sensing Technology and 
Application 17(6), pp. 299-304. 
Li, D., 2003. Change Detection from Remote Sensing Images. 
Geomaties and Information Science of Wuhan University 
SI, pp. 7-12 
Liu, J, Zhuang, D., Ling, Y., 1998. Vegetation integrated 
classification and mapping using remote sensing and GIS 
techniques in northeast China. Journal of Remote Sensing 
2(4), pp. 285-291. 
Liu, X., 2001. Mapping and modelling the habitat of giant 
pandas in Foping Nature Reserve. China, ISBN 90-5808- 
496-5. 
Liu, X., 2002. Human-Environment-Panda: An Essay about 
Mushroom Production and Pandas' Habitat in Foping 
Nature Reserve. Journal of Biological Diversity (4), pp. 
63-71. 
Liu, X., Zhang, X., 2004. Research Advances and Counter 
Measures of Remote Sensing Classification of Forest 
Vegetation. Forest Resources Management (1), pp. 61-64. 
Liu ^Y. Zhang, 3; Lin, Z; 1999, Study on the method of 
Extracting Changing Information in Dynamic Remote 
Sensing Monitoring of Land Use. Remote Sensing 
Information (4), pp. 21-28. 
Mo, Y., Zhou, L., 2000. Application of TM data to land use 
change monitoring. Remote Sensing for Land and 
Resources (2), pp. 13-17. 
SDIFR (Shaanxi Designing Institute of Forest Reconnaissance), 
2001. Feasibility research report of constructing program 
for Guanyinshan Nature Reserve, Shaanxi. 
Shi, P., Li, X, Zhou, W., 2000. Detection of vegetation 
response to climate change in northern China using 3S 
technology. Quaternary Sciences 20(3), pp. 220-228. 
860 
Singh, A., 1989. Digital change detection techniques using 
remotely-sensed data. International Journal of Remote 
Sensing 10 (6), pp. 989-1003. 
Tian, Q., Min, X., 1998. Advances in study on vegetation 
indices. Advance in Earth Sciences 13(4), pp. 327-333. 
van Lynden, G. W. J., Mantel, S., 2001. The role of GIS and 
remote sensing in land degradation assessment and 
conservation mapping: some user experiences and 
expectations. International Journal of Applied Earth 
Observation and Geoinformation 3(1), pp. 61-68. 
Wu, L., Wang, M., 2003. Application of an Improved 
Maximum-Likelihood Algorithm in Remote Sensing 
Classification. Transaction of the CSAE 19(4), pp. 54-57. 
Yang, C., Ou, X., Dang, C., Zhang, Z., 2000. Detection the 
Change Information of Forest Vegetation in Lushui 
Country of Yunnan Province. Geo-information Science (4), 
pp. 71-75 
Ye, M. Jiang, G., Yang, X., 2002. On land-use dynamic 
monitoring based on the integration of TM image and GIS 
data. Bulletin of Surveying and Mapping S1, pp. 11-14. 
Zhang, J., 2003. Study on change detection framework of land 
use and land cover by remote sensing. China Land Science 
17(4), pp. 31-36. 
Zhang, H., Ni, $., Zhang, J., 2001. Development of study on 
normalized method dealing with the topography of remote 
sensing images in foreign countries. Remote Sensing 
Information (3), pp. 24-27. 
Zhao, Y., Li, J., 2001. Research on automatic classification of 
land use by using ETM+ images. Application and 
Technology (2), pp. 38-42. 
Zhang, S., Yan, S., 2002. Research on Application of Remote 
Sensing for Vegetable Coverage Classification in Shaanxi 
Province. Chinese Journal of Agrometeorology 23(2), pp. 
32-36. 
Accur 
Acqui 
Adjus 
Advar 
Aerial 
A grici 
Algori 
AM/F 
Analy 
Animz 
Applic 
Archa 
Archit 
Archi 
Artific 
Atmos 
Auton 
Buildi 
Bundl 
Calibr 
Camer 
Cartog 
CCD. 
Chang 
Chang 
445 
City... 
Classi 
Coast. 
Combi 
Comp: 
Correc 
Cultur: 
Data ... 
Data S 
Databe 
Databe 
Decisi 
Dem/d 
Desigr 
Detect 
Develc 
Develc 
Digital 
Disaste 
Distrib 
Dynan