Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2005, Vol. 17 Issue (4) : 51-55     DOI: 10.6046/gtzyyg.2005.04.12
Technology Application |
ALTERATION MINERAL MAPPING AND MULTI-INFORMATION
ORE PROSPECTING IN EASTERN JUNGGAR, XINJIANG
ZHOU Jun 1, CHEN Ming-yong 2, GAO Pen 2, 3, LIU Lei 1, LI De-cheng 1, TIAN Qin-hu 1
1.School of Earth Sciences and Resources Management, Changan University, Xi’an 710054, China; 2.The Second Brigade of Regional Geology Reconnaissance, Changji Xinjiang 831100, China; 3.The Faculty of Earth Resources, China University of Geoscience, Wuhan 430074, China
Download: PDF(562 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

 Based on lots of image processing tests and field inspection, the authors employed Crosta technique and the Principal Component Analysis using TM1~7 (without TM6) to perform alteration mineral mapping in eastern Junggar, Xinjiang. Relevant images, e.g., hydroxyl layer from TM1, 4, 5 and 7 or iron oxide layer from TM1, 3, 4 and 5, were classified by four thresholds, i.e., <μ+1.64σ, μ+1.64σ~μ+2σ, μ+2σ~μ+3σ and >μ+3σ. The last three groups, treated as remote sensing anomalies and assigned to different colors, were used to overlie the false color composites that were combined with geochemical surveying data (at the scale of 1︰200,000 or 50,000) in grid form through data fusion. The ore prospecting work in eastern Junggar was shed light on by synthetic analyses based on the multi-information images and field work. The ore exploration targets delineated by this study include Xiaosaerbulake and Kekeyuyi in Qinghe County, Beitashan pasture and Wulunbulage in Qitai County, and Dahongshan and Caohugou in Balikun County.

: 

 

 
  TP 79: P 285.1

 
Issue Date: 10 September 2009
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
ZHOU Jun, CHEN Ming-Yong, GAO Peng, LIU Lei, LI De-Cheng, TIAN Qin-Hu. ALTERATION MINERAL MAPPING AND MULTI-INFORMATION
ORE PROSPECTING IN EASTERN JUNGGAR, XINJIANG[J]. REMOTE SENSING FOR LAND & RESOURCES,2005, 17(4): 51-55.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2005.04.12     OR     https://www.gtzyyg.com/EN/Y2005/V17/I4/51
[1] YANG Li-Juan, WU Sheng-Li, ZHANG Zhong-Jun.
A Model Analysis Using a Combined Active/Passive Microwave Remote Sensing Approach for Soil Moisture Retrieval
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 53-58.
[2] LIN Ting, LIU Xiang-Nan, TAN Zheng. Zn Contamination Monitoring Model of Rice Based on ICA and Hyperspectral Index[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 59-64.
[3] YANG Shu-Wen, LI Ming-Yong, LIU Tao, SUN Jian-Guo, DUAN Huan-E. A Method of Alluvial Fan Automatic Extraction from TM Image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 65-69.
[4] DIAO Hai, ZHANG Da, DI Yong-Jun, WANG Zhen, WANG Hao-Ran, XIONG Guang-Qiang.
The Extraction of Alteration Anomalies from ASTER Data Based on Principal Component Analysis and Fractal Model
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 75-80.
[5] HUANG Miao-Fen, MAO Zhi-Hua, XING Xu-Feng, SUN Zhong-Ping, ZHAO Zu-Long, HUANG Wei.
A Model for Water Surface Temperature Retrieval from HJ-1B/IRS Data and Its Application
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 81-86.
[6] ZHAO Yue, ZHOU Ping . An Improved K-means Algorithm for Remote Sensing Classification[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 87-90.
[7] LI Zhi-Feng, ZHU Gu-Chang, ZHANG Jian-Guo, LIU Huan, HU Xing-Hua.
The Extraction and Analysis of Iron Alteration Information Based on SPOT Data for Mineral Prediction:A Case Study of the Longnan Gold Ore District
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 91-97.
[8] MENG Dan, ZHANG Zhi, FENG Wen.   The Risk Analysis of Solid Waste of the Fujawu Copper Ore District Based on GeoEye-1 and DEM[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 130-134.
[9] LV Feng-Hua, SHU Ning, TAO Jian-Bin, FU Jing.
Variable Step Size-Based Estimation of Fractal Dimension for Spectral Response Curve
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 37-41.
[10] GAO Jian-Yang. The Application of the Hypeion Hyper-spectral Image to the Zhongteng
Cu-Mo Deposit in Pinghe County of Fujian Province
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 87-90.
[11] DENG Ji-Qiu, XIE Yang, ZHANG Bao-Yi, MAO Xian-Cheng. The Extraction of the Manganese Mineralization Alteration Information from the ETM+ Image and Ore Prognosis[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 102-105.
[12] DENG Rui, HUANG Jing-Feng. The Monitoring of Landslide and Debris Flow Caused by Typhoon
Morakot Based on HJ-1 Images
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 106-109.
[13] MA Long. The Evaluation of NASA MODIS Sea Ice Products: a Case Study of Sea Ice in Liaodong Bay[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 115-117.
[14] FENG Yong-Jiu, HAN Zhen. RS and GIS Derived Spatio-temporal Evolution of Water Landscape in Coastal Areas: a Case Study of Shanghai Section on the Northern Bank of Hangzhou Bay[J]. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 123-127.
[15] ZHANG Guo, PAN Hong-Bo, JIANG Wan-Shou, QIN Xu-Wen. Epipolar Resampling and Epipolar Geometry Reconstruction of Linear Array Scanner Scenes Based on RPC Model[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 1-5.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech