Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    1990, Vol. 2 Issue (2) : 42-49     DOI: 10.6046/gtzyyg.1990.02.07
Technology and Methodology |
APPLICATION OF LANDSAT TM DATA INTO REGIONAL PREDICTION FOR LEAD-ZINC DEPOSITS IN EASTERN LIAONING
Wang Pinqing
Center for Remote Sensing in Geology
Download: PDF(484 KB)  
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  Some early results of a study program which is used the integrated analysis for geological, geophysical, geochemical and remote sensing data in regional exploration of lead-zinc deposits are presensed in this paper. In terms of the statistical analysis and probability computation, the geological condition for the lead-zinc mineralization have been quantitatively predicted by taking into account the linear structures extracted from the Landsat TM image and some lithologic units from geological map. Finally, the probability contour containing, at least, one deposit has been obtained. It provides the important clues for the target area selection to be further studied and makes fundament for the integrated analysis with geological, geophysical, geochemical and remotely sensed data in next stage. Fortunatlly. a new mineralization site has been discovered in the probability anormaly area during the field geological study.
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
ZUO Zhe
CE Shi
YANG Tian-chun
XIAO Qiao-ling
Cite this article:   
ZUO Zhe,CE Shi,YANG Tian-chun, et al. APPLICATION OF LANDSAT TM DATA INTO REGIONAL PREDICTION FOR LEAD-ZINC DEPOSITS IN EASTERN LIAONING[J]. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(2): 42-49.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.1990.02.07     OR     https://www.gtzyyg.com/EN/Y1990/V2/I2/42


[1] M. L. Labovitz,E. J. Masuoka et alt 1983. The Application of Remote Sensing to Geobotanical Exploration for Metal Sulphides-Results from the 1980 Field Season at Mineral,Virginia-Geology. V. 78,No.4,pp.750-750.



[2] A. H. G. Mitchell and M.S. Garsom 1981. Mineral Depcuits and ,Global Tectonic Settings.



[3] V. Kuosmancn,H. Arkima and E. Lindqvisto 1985. Structural Positions of Predicted and Knuwn Cu-Zn Ore Indications -Proceedings of the International Symposium on Remou Sensing of Environment-The Fourth Thematic Conference: "Remote Sensing for Exploration Geology. V. I.pp.57-71.



[4] S. J. Fraser,J. F. Huntington et aly 1985. Discrimination oP Iron Oxides and Vegetation Anomalies with the MEIS Narrow Band Imaging System-proceeding of the international Symposium on Sensing of Environment-The FourthTliernatic Conferencc; Remote Sensiug For Exploration Gcology"V.L.PP.233-253



[5] Li Chunyu,Wang Quan,Ciu Xueya and Tanh Yaoqing 1982.Explanatory Notes to the Tectonic Map of Geological Sciences.PP.9



[6] P. G,Hoel; 1855. Introduction to Mathmatial Sitatistics,Wiley,NT,pp. 62-64,



[7] G,F. Bonham,Carter and A,N,Rencz; 1985,Spatial Relationship of Gold Occurrences with ineaments Derived from Landsat and Seasat Imagery,Meguma Group,Nova Scotia.-Proceedings of the International Symnosium on Remdte Sensing of Environment-The FourthThematie Confence:"Remote Sensing fer Ezploration Geology",San Pranciscor California. 1985: pp. 755-768.



[8] Wang Pinqingt 1987. Predicting the Location of Kimbetlite from a Probability Analysis ,of Linear Structure on Remote Senaing Data. -INT. J. Remute Sensing,V,8,No,3,PP. 417-426
No related articles found!
Viewed
Full text


Abstract

Cited

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