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

BI Xue-li; XU Qi; ZHANG Fa-wang

Volume 3 Issue 2

Jun. 2015

Turn off MathJax

Article Contents

Article Navigation > Journal of Groundwater Science and Engineering > 2015 > 3(2): 186-191

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:

PDF( 5744 KB)

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

1Institute of Karst Geology, Chinese Academy of Geological Sciences, Guilin 541004, China.

Publish Date: 2015-06-28

Abstract

Abstract

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.
- Remote sensing,
- Karst geology,
- Mapping,
- Southeast Asia

FullText(HTML)

References(16)

References

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 .

Relative Articles

[1]	Parisa Kazerani, Ali Naghi Ziaei, Kamran Davari, 2023: Determining safe yield and mapping water level zoning in groundwater resources of the Neishabour Plain, Journal of Groundwater Science and Engineering, 11, 47-54. doi: 10.26599/JGSE.2023.9280005
[2]	Edmealem Temesgen, Demelash Wendmagegnehu Goshime, Destaw Akili, 2023: Determination of groundwater potential distribution in Kulfo-Hare watershed through integration of GIS, remote sensing, and AHP in Southern Ethiopia, Journal of Groundwater Science and Engineering, 11, 249-262. doi: 10.26599/JGSE.2023.9280021
[3]	Temesgen Mekuriaw Manderso, Yitbarek Andualem Mekonnen, Tadege Aragaw Worku, 2023: Application of GIS based analytical hierarchy process and multicriteria decision analysis methods to identify groundwater potential zones in Jedeb Watershed, Ethiopia, Journal of Groundwater Science and Engineering, 11, 221-236. doi: 10.26599/JGSE.2023.9280019
[4]	Muthamilselvan A Dr, Sekar Anamika, Ignatius Emmanuel, 2022: Identification of groundwater potential in hard rock aquifer systems using Remote Sensing, GIS and Magnetic Survey in Veppanthattai, Perambalur, Tamilnadu, Journal of Groundwater Science and Engineering, 10, 367-380. doi: 10.19637/j.cnki.2305-7068.2022.04.005
[5]	Xue-ru Wen, Yan-pei Cheng, Jian-kang Zhang, Hua Dong, 2021: Ecological function zoning and protection of groundwater in Asia, Journal of Groundwater Science and Engineering, 9, 359-368. doi: 10.19637/j.cnki.2305-7068.2021.04.009
[6]	Kessar Cherif, Benkesmia Yamina, Blissag Bilal, Wahib Kébir Lahsen, 2021: Delineation of groundwater potential zones in Wadi Saida Watershed of NW-Algeria using remote sensing, geographic information system-based AHP techniques and geostatistical analysis, Journal of Groundwater Science and Engineering, 9, 45-64. doi: 10.19637/j.cnki.2305-7068.2021.01.005
[7]	WEN Xue-ru, CHENG Yan-pei, DONG Hua, WANG Chun-xiao, ZHANG Er-yong, LIU Kun, 2019: Interpretation for technical requirements of mapping regional groundwater resources, Journal of Groundwater Science and Engineering, 7, 288-294. doi: DOI: 10.19637/j.cnki.2305-7068.2019.03.009
[8]	A Muthamilselvan, N Rajasekaran, R Suresh, 2019: Mapping of hard rock aquifer system and artificial recharge zonation through remote sensing and GIS approach in parts of Perambalur District of Tamil Nadu, India, Journal of Groundwater Science and Engineering, 7, 264-281. doi: DOI: 10.19637/j.cnki.2305-7068.2019.03.007
[9]	TANG Hai-long, LU Shan-long, CHENG Yan-pei, GE Li-qiang, ZHANG Jian-kang, DONG Hua, SHAO Huai-yong, 2019: Analysis of dynamic changes and influence factors of Lake Balkhash in the last twenty years, Journal of Groundwater Science and Engineering, 7, 214-223. doi: DOI: 10.19637/j.cnki.2305-7068.2019.03.002
[10]	Nouayti Abderrahime, Khattach Driss, Hilali Mohamed, Nouayti Nordine, 2019: Mapping potential areas for groundwater storage in the High Guir Basin (Morocco):Contribution of remote sensing and geographic information system, Journal of Groundwater Science and Engineering, 7, 309-322. doi: DOI: 10.19637/j.cnki.2305-7068.2019.04.002
[11]	TANG Yi-qun, YANG Qi, ZHOU Jie, 2017: Influence of droughts on remote villages in the karst region of Guizhou Province, China: Causes and control, Journal of Groundwater Science and Engineering, 5, 91-103.
[12]	ZHANG Fa-wang, CHENG Yan-pei, 2015: Progress on the mapping of groundwater resources and environment in Asia, Journal of Groundwater Science and Engineering, 3, 105-117.
[13]	DONG Hua, GE Li-qiang, 2015: Groundwater ecological environment and the mapping of Asia, Journal of Groundwater Science and Engineering, 3, 118-126.
[14]	YANG Xiang-peng, ZHANG Fa-wang, CHEN Zhen, BI Xue-li, SHI Jian, ZHOU Li-xin, YANG Chen, 2015: Compiling distribution of karst in Southern China and Southeast Asia, Journal of Groundwater Science and Engineering, 3, 280-284.
[15]	XU Qi，, YANG Xiang-peng, ZHANG Fa-wang, BI Xue-li，SHI Jian, CHEN Zhen, ZHOU Li-xin, YANG Chen, 2015: Compilation of serial maps on karst geology of China and Southeast Asia, Journal of Groundwater Science and Engineering, 3, 247-255.
[16]	ZHANG Cheng, Mahippong Worakul, WANG Jin-liang, PU Jun-bing, LYU Yong, ZHANG Qiang, HUANG Qi-bo, 2014: Hydrogeochemical Features of Karst in the Western Thailand, Journal of Groundwater Science and Engineering, 2, 18-26.
[17]	GONG Jian-shi, ZHU Chun-fang, YE Nian-jun, WANG He-sheng, ZHOU Kai-e, HOU Li-li, 2014: Experimental study of impact of a certain polluted river on groundwater along river bank in Southeast China, Journal of Groundwater Science and Engineering, 2, 8-16.
[18]	GUO Qing-shi, ZHOU Zhi-yong, GUO Si-si, HAO Ji-kun, 2014: Application Research of Remote Sensing Technology in Regional Hydrogeological Survey, Journal of Groundwater Science and Engineering, 2, 62-67.
[19]	Jiankang Zhang, Yanpei Cheng, Hua Dong, Qingshi Guo, Kun Liu, Fawang Zhang, 2013: Study on Ecological Environment and Sustainable Land Use Based on Satellite Remote Sensing, Journal of Groundwater Science and Engineering, 1, 89-96.
[20]	Zai-sheng Han, Jayakunar Ramasamy, Yao Li, Jing He, HaoWang, Yan-pei Cheng, Hua Dong, Zeng-shi Ni, 2013: Asian Transboundary Aquifers Inventory and Mapping, Journal of Groundwater Science and Engineering, 1, 1-9.