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Volume 3 Issue 2
Jun.  2015
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Article Contents
BI Xue-li, XU Qi, ZHANG Fa-wang. 2015: Application of remote sensing technique to mapping of the map series of karst geology in China and Southeast Asia. Journal of Groundwater Science and Engineering, 3(2): 186-191.
Citation: BI Xue-li, XU Qi, ZHANG Fa-wang. 2015: Application of remote sensing technique to mapping of the map series of karst geology in China and Southeast Asia. Journal of Groundwater Science and Engineering, 3(2): 186-191.

Application of remote sensing technique to mapping of the map series of karst geology in China and Southeast Asia

  • Publish Date: 2015-06-28
  • Based on the mapping program of the map series of karst geology in China and Southeast Asia, the paper summarizes the application of remote sensing technique and the process of acquiring information from remote sensing images. Generally, remote sensing technique serves as an effective method to recognize information about karst topography, rocky desertification and karst collapse. Interpretation of remote sensing images, in combination with field verification and cartographic generalization, provides basic data for updating the program database and compiling synthetic maps. In interpreting remote sensing images, automatic extraction can make it more efficient and visual interpretation can improve its accuracy.
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  • RU Jin-wen, JIE Xian-yi, et al. 1992. Karst collapse and its remote sensing detection method. Remote Sensing for Land & Resources, (04): 47-52 .
    ZHOU Zhong-fa. 2001. Application of remote sensing and GIS technology for land desertification in Guizhou Karst Region. Bulletin of Soil and Water Conservation, 21(03): 52-54, 66 .
    LEI Ming-tang, JIANG Xiao-zhen. 1998. Research on the present situation and developing tendency of karst collapse and techniques for its supporting. The Chinese Journal of Geological Hazard and Control, 9(03): 1-6 .
    ZHANG Pan-pan, HU Yuan-man, et al. 2010. A method of the percentage of bare rock calculation in karst areas based on multi- spectrum remote sensing image. Remote Sensing Technique and Application, 25(04): 510-514 .
    YU Qin. 2009. Decision-making tree model-based karst stony desertification spectrum informa- tion automatic extraction study. Guiyang: Guizhou Normal University .
    QIN Hou-ren, ZHU De-hao. 1984. A proposed classification of tropical and subtropical karst features in South China. Carsologica Sinica, (02): 67-73 .
    ZHANG Jin-ping, CHENG Wei-ming, et al. 2005. Experiment on 1/1 000 000 geomorphologic mapping method based on RS and DEM in China. Journal of Geo-Information Science, 7(02): 36-40 .
    LONG En. 2005. Study on digital method for Changbaishan geomorphologic mapping based on remote sensing and DEM. Changchun: Northeast Normal University .
    YUAN Dao-xian. Karst Environment. 1998. Chongqing: Chongqing Publishing House .
    YANG Shu-wen, XIE Fei, et al. 2012. Automatic extraction of karst landscape elements based on SPOT5 image. Remote Sensing for Land & Resources. 93(02): 56-60 .
    WANG Guo-jiang. 1995. Carbonate rocks and environment (vol.1). Beijing: Seismological Press .
    SU Wei-ci. 2002. Optimization mode and measures for rocky desertification control in karst mountains of Southwest China. Journal of Soil and Water Conservation, 16(5): 24-27 .
    ZHOU Cheng-hu, CHENG Wei-ming, et al. 2009. Research on the classification system of digital land geomorphology of 1/1 000 000 in China. Journal of Geo-Information Science, 11(06): 707-723 .
    WANG Bing, HU Wei-ping, et al. 2008. GIS-based remote sensing interpretation and analysis of digital land geomorphology of 1/1 000 000 in China-with Taiwan Province as an example. Journal of South China Normal University (Natural Science Edition), (02): 136-142 .
    CHEN Qi-wei, LAN An-jun, et al. 2003. Spectral feature-based model for extracting karst rock-desertification from remote sensing image. Journal of Guizhou Normal University (Natural Sciences), 21(04): 82-87 .
    HU Shun-guang, ZHANG Zeng-xiang, XIA Kui- jun. 2010. Information extraction of karst rocky desertification using remote sensing. Journal of Geo-Information Science, 12(06): 870-879 .
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