THE MAPPING OF FERRIFEROUS MINERALS BASED<br />
ON ALI IMAGERY IN QAIDAM GAS-OIL AREA

doi:10.6046/gtzyyg.2006.03.10

Download: PDF(709 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

The bleach of red beds above the oil and gas reservoirs caused by the hydrocarbon microseepage is one of the usual indicators in indirect search for oil and gas by remote sensing technology. Therefore, the mapping of ferriferous minerals and the information extraction of iron anomalies play an important role in oil and gas remote sensing exploration. As a new generation of the multispectral image, the spectral resolution of ALI (Advanced Land Imager) has a great improvement compared with the ETM+ imagery. ALI has six bands in the 0.4~1.0μm wavelength region and can represent special spectral characteristics of ferriferous minerals in the 0.4~1.0μm region, so it can be used for the mapping of ferriferous minerals and the information extraction of iron anomalies. In this paper, the three-lake region of Qaidam basin was chosen as the study area, in which gas reservoirs are developed. An ALI image and the spectral angle mapping (SAM) method were used to map the distribution of ferriferous minerals, with a good result obtained. Based on the mapping result, the paper has discussed the spatial relationship of the ferriferous minerals to gas anomaly and gas distribution.

TP 79

Issue Date: 23 July 2009

	Service

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

	Qin Xiaoguang
	Zhao Buyi
	Li Fuan

Cite this article:

Qin Xiaoguang,Zhao Buyi,Li Fuan. THE MAPPING OF FERRIFEROUS MINERALS BASED
ON ALI IMAGERY IN QAIDAM GAS-OIL AREA[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(3): 43-46.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2006.03.10 OR https://www.gtzyyg.com/EN/Y2006/V18/I3/43

[1]	REN Jin-hua, WU Shao-hua, ZHOU Sheng-lu, LIN Chen. Advances in Remote Sensing Research on Urban Impervious Surface[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 8-15.
[2]	MENG Peng, HU Yong, GONG Cai-lan, LI Lin. Discussions on Using Channels of Split-window Algorithm to Retrieve Earth Surface Temperature[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 16-20.
[3]	WU Wei, WU Qian-hong, DENG Ji-qiu. Research on Primary Filtering Method for Pre-matching Road Sections Based on Four-level Grid Division[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 26-29.
[4]	HOU Xue-hui, NIU Zheng, HUANG Ni, XU Shi-guang. The Hyperspectral Remote Sensing Estimation Models of Total Biomass and True LAI of Wheat[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 30-35.
[5]	WANG Guo-jun, SHAO Yun, WAN Zi, ZHANG Feng-li. Optimal Incidence Angle Pair Selection for Dual-aspect Compensation in High Resolution SAR Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 48-54.
[6]	YANG He-qun, YIN Qiu, ZHOU Hong-mei, GE Wei-qiang. Utilization of MATLAB to Realize LST Retrieval and Thematic Mapping from FY-3/MERSI Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 62-70.
[7]	GE Jia, ZHANG Zi-ming, WU Cheng, ZHAN Qian, SUN Yong-jun. A Study of Automatical Information Extraction Method of Water-erosion Desertification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 88-94.
[8]	XU Shuang, SHEN Run-ping, YANG Xiao-yue. A Comparative Study of Different Vegetation Indices for Estimating Vegetation Coverage Based on the Dimidiate Pixel Model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 95-100.
[9]	YE Fa-wang, LIU De-chang. Application of High Resolution Satellite Remote Sensing Technology in Identification and Analysis of the Uranium Mineralization Bleached Alteration[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 117-123.
[10]	YANG Bao-yao, DU Zhen-hong, LIU Ren-yi, ZHANG Feng. Researches on Generalization Technology for Land Use Mapping Based on 2nd National Land Survey Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 107-111.
[11]	ZHANG Hua-ping, LIU Li, WANG Zeng-hui, ZHAO Xi-qiang. Application of Remote Sensing to Multi-purpose Regional Geochemical Survey[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 132-137.
[12]	WANG Dong-yin, ZHU Gu-chang, ZHANG Yuan-fei. Spatial Structure Features and Basic Statistic Parameters of Typical Ground Object Spectral Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 138-145.
[13]	JIN Xin, KE Chang-qing. Monitoring of Snow Cover Changes in Tianshan Mountains Based on Mixed Pixel Decomposition[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 146-151.
[14]	XU Wen-jia, YANG Bin, TIAN Li, GE Chao-ying, XU Yong-li. Retrieval of Chlorophyll-a Concentration by Using MODIS Data in Hebei Sea Area[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 152-156.
[15]	HU Fang, LIN Qi-zhong, WANG Qin-jun, WANG Ya-jun. Quantitative Inversion of Soil Potassium Content by Using Hyperspectral Reflectance[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 157-162.