APPLICATION OF UNMANNED AIR VEHICLE (UAV) REMOTE SENSING DATA IN THE RECOGNITION OF STRATIGRAPHIC UNITS: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING OF KARST AREA IN SOUTHWESTERN CHINA

SHAN Ke-qiang; PAN Ming; LIN Yu

Volume 22 Issue 4

Dec. 2016

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Article Navigation > Journal of Geomechanics > 2016 > 22(4): 933-942

SHAN Ke-qiang, PAN Ming, LIN Yu, 2016. APPLICATION OF UNMANNED AIR VEHICLE (UAV) REMOTE SENSING DATA IN THE RECOGNITION OF STRATIGRAPHIC UNITS: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING OF KARST AREA IN SOUTHWESTERN CHINA. Journal of Geomechanics, 22 (4): 933-942.

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APPLICATION OF UNMANNED AIR VEHICLE (UAV) REMOTE SENSING DATA IN THE RECOGNITION OF STRATIGRAPHIC UNITS: A CASE STUDY OF 1: 50000 PILOT GEOLOGICAL MAPPING OF KARST AREA IN SOUTHWESTERN CHINA

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

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Received: 2016-09-15
Published: 2016-12-01

Abstract

Abstract

As microgeomorphologic characteristics formed by different units are the basis of the large scale interpretation remote sensing of lithostratigraphic units, it is very important to increase the resolution of remote sensing images and terrain data. During proceeding the project of the 1:50000 mapping pilot of karst area of southwest China, we use the Unmanned Aerial Vehicle (UAV) platform to obtain high resolution images (0.2 m), high density point cloud data and 0.5 m resolution DEM data of our working area. According to these data, it is easy to describe the microgeomorphologic characteristics of surface objectively by reproducing the high definition real 3D model of microgeomorphology in the working area, to advance the precise researches of microgeomorphologic characteristics of different kind rocks and to improve the interpretation degree of remote sensing data. Combing the existing geological data, interpretation indexes of different microreliefs, colors and vegetation of different stratigraphic unit are set up based on the surface 3D model.
- UAV,
- remote Sensing,
- DEM,
- surface 3D Model,
- microgeomorphology,
- lithostratigraphic unit

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References(10)

References

[1]	毕坤, 盛学庸, 董存忠.航空相片在区域岩溶地貌研究中的应用[J].中国岩溶, 1986, (1):118~124, 163~164. BI Kun, SHENG Xue-yong, DONG Cun-zhong. The application of erial images to the study of the regional karst landforms[J]. Carsologica Sinica, 1986, (1):118~124, 163~164.
[2]	韩文权, 任幼蓉, 赵少华.无人机遥感在应对地质灾害中的主要应用[J].地理空间信息, 2011, 9(5):6~8, 163. http://www.cnki.com.cn/Article/CJFDTOTAL-DXKJ201105004.htm HAN Wen-quan, REN You-rong, ZHAO Shao-hua. Primary usages of UAV remote sensing in geological disaster monitoring and rescuing[J]. Geospatial Information, 2011, 9(5):6~8, 163. http://www.cnki.com.cn/Article/CJFDTOTAL-DXKJ201105004.htm
[3]	田莉.地质遥感中岩性的识别研究[J].科技传播, 2010, 19:220, 223. http://www.cnki.com.cn/Article/CJFDTOTAL-KJCB201019200.htm TIAN Li. Research on geological remote sensing lithologic identification[J]. Public Communication of Science & Technology, 2010, 19:220, 223. http://www.cnki.com.cn/Article/CJFDTOTAL-KJCB201019200.htm
[4]	张克信, 孙赜, 于庆文, 等.基于数字填图系统的遥感等数据在基于数字填图系统的遥感等数据在构造-地层分区和地层单位识别中应用——以1:25万民和县幅、临夏市幅和定西市幅数字地质填图为例[J].地质通报, 2008, 27(7):965~973. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200807006.htm ZHANG Ke-xin, SUN Ze, YU Qing-wen, et al. Application of remote sensing data to the tectono-stratigraphic division and recognition of stratigraphic units based on the digital mapping system:A case study of 1:250000 digital geological mapping of the Minhe County, Linxia City and Dingxi City she[J]. Geological Bulletin of China, 2008, 27(7):965~973. http://www.cnki.com.cn/Article/CJFDTOTAL-ZQYD200807006.htm
[5]	邹长慧, 谢晓尧, 周忠发.无人机低空航拍遥感系统在贵州高原山区的应用前景探讨[J].贵州师范大学学报:自然科学版, 2011, 29(2):24~28. http://www.cnki.com.cn/Article/CJFDTOTAL-NATR201102008.htm ZOU Chang-hui, XIE Xiao-yao, ZHOU Zhong-fa. Future prospects in utilization of photo-taking unmanned aerial vehicle in low altitude of RS system in plateau mountain area of Guizhou[J]. Journal of Guizhou Normal University:Natural Sciences, 2011, 29(2):24~28. http://www.cnki.com.cn/Article/CJFDTOTAL-NATR201102008.htm
[6]	刘静, 陈涛, 张培震, 等.机载雷达扫描揭示海原断裂带微地貌的精细结构[J].科学通报, 2013, 58:41~45. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201301003.htm LIU Jing, CHEN Tao, ZHANG Pei-zhen, et al. Illuminating the active Haiyuan fault, China by Airborne Light Detection and Ranging[J]. Chinese Science Bulletin, 2013, 58:41~45. http://www.cnki.com.cn/Article/CJFDTOTAL-KXTB201301003.htm
[7]	David Riao, Emilio Chuvieco, Javier Salas, et al. Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(5):1056~1061. doi: 10.1109/TGRS.2003.811693
[8]	Jenson S K, Domingue J O. Extracting topographic structure from digital elevation data for geographic information system analysis[J]. Photogrammetric Engineering and Remote Sensing, 1988, 54(11):1593~1600.
[9]	Ricchetti E. Visible-infrared and radar imagery fusion for geological application:A new approach using DEM and sun-illumination model[J]. International Journal of Remote Sensing, 2001, 22(11):2219~2230.
[10]	中国地质调查局. 1:250万中国地质图[M].北京:中国地图出版社, 2004. China Geological Survey. Geological map of China (1:2500000)[M]. Beijing:China Map Publishing House, 2004.