The Evaluation and Remote Sensing Interpretation of Faults along the Ningwu Superhighway

doi:10.6046/gtzyyg.2010.02.16

Download: PDF(1131 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Based on remote sensing interpretation symbols of faults, the authors interpreted and analyzed all faults along the Xintian Junction to Wuyishan Fenshuiguan segment of the Ningwu Superhighway. There are 5 large fault zones and 28 small-sized faults near the proposed superhighway route. In combination with the preliminary verification data, this paper established the evaluation indexes for faults affecting the stability of the route, so as to analyze and evaluate the specific impact of NE-, NEE- and NW-trending faults in the corridor belt on the proposed route. The results show that the evaluation indexes can improve the recognition of faults and provide quantitative parameters for route selection and road construction.

Keywords TM image Volcanic cone (crater) Rock flow

Issue Date: 29 June 2010

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

YANG Shu-Wen, FENG Guang-Sheng, GAO Shan. The Evaluation and Remote Sensing Interpretation of Faults along the Ningwu Superhighway[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(2): 73-76.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.02.16 OR https://www.gtzyyg.com/EN/Y2010/V22/I2/73

[1]	TIAN Lei, FU Wenxue, SUN Yanwu, JING Linhai, QIU Yubao, LI Xinwu. Research on spatial change of the boreal forest cover in Siberia over the past 30 years based on TM images[J]. Remote Sensing for Land & Resources, 2021, 33(1): 214-220.
[2]	GUO Qiaozhen, NING Xiaoping, WANG Zhiheng, JIANG Weiguo. Impact analysis of landform for land use dynamic change of the partly mountainous area: A case study of Jixian County in Tianjin City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 153-159.
[3]	XU Xu, REN Feipeng, HAN Nianlong. Remote sensing monitoring of spatio-temporal changes of ecosystem service values in Hebei Province, 2000—2009[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 187-193.
[4]	LIU Juan, CAI Yanjun, WANG Jin. Soil classification of Qinghai Lake basin based on remote sensing[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 57-62.
[5]	XU Chao, ZHAN Jinrui, PAN Yaozhong, ZHU Wenquan. Extraction of cropland information based on multi-temporal TM images[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 166-173.
[6]	QIN Yan, DENG Ru-ru, HE Ying-qing, CHEN Lei, CHEN Qi-dong, XIONG Shou-ping. Algorithm for Removing Thick Clouds in TM Image Based on Spectral and Geometric Information[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 55-61.
[7]	SHEN Jin-xiang, YANG Liao, CHEN Xi, LI Jun-li, PENG Qing-qing, HU Ju. A Method for Object-oriented Automatic Extraction of Lakes in the Mountain Area from Remote Sensing Image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 84-91.
[8]	CHEN Lei, DENG Ru-ru, CHEN Qi-dong, HE Ying-qing, QIN Yan, LOU Quan-sheng. The Extraction of Water Body Information from TM Imagery Based on Water Quality Types[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(1): 90-94.
[9]	ZHANG Zhi-xin, DENG Ru-ru, LI Hao, CHEN Lei, CHEN Qi-dong, HE Ying-qing. Remote Sensing Monitoring of Vegetation Coverage in Southern China Based on Pixel Unmixing: A Case Study of Guangzhou City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(3): 88-94.
[10]	LIU Yan, DING Tao- , RUAN Hui-Hua, LIN Na. The Monitoring of Land Desertification in the Manasi River Basin Based on Multi-source Remotely Sensed Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(1): 81-84.
[11]	SUN Yong-Jun, TONG Qing-Xi, QIN Qi-Ming. THE OBJECT-ORIENTED METHOD FOR WETLAND INFORMATION EXTRACTION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(1): 79-82.
[12]	ZHANG Li-Su, WU Jia-Ping. REGIONAL LAND USE/COVER CLASSIFICATION WITH A STRATIFIED AND REGIONALIZED APPROACH: A CASE STUDY IN QIANTANG RIVER WATERSHED, ZHEJIANG PROVINCE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(3): 74-77.
[13]	QI Zhi-Xin, DENG Ru-Ru. THE ATMOSPHERIC CORRECTION METHOD FOR NONHOMOGENEOUS ATMOSPHERE BASED ON MANY DARK OBJECTS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2007, 19(2): 16-19.
[14]	GAO Zhong-Ling, WANG Xiao-Qin, ZHOU Xiao-Cheng. THE EXTRACTING OF FIRE SCARS FROM TM IMAGE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(4): 38-41.
[15]	DONG Yan-Fang, SUN Guo-Qing, PANG Yong, FU An-Min. A COMPARITIVE STUDY OF SOME ATMOSPHERIC CORRECTION METHODS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(2): 16-19.