Please wait a minute...
 
国土资源遥感  1990, Vol. 2 Issue (2): 42-49    DOI: 10.6046/gtzyyg.1990.02.07
  方法技术 本期目录 | 过刊浏览 | 高级检索 |
陆地卫星TM数据用于辽东地区铅锌矿产预测的方法探索
王品清
地矿部地质遥感中心
APPLICATION OF LANDSAT TM DATA INTO REGIONAL PREDICTION FOR LEAD-ZINC DEPOSITS IN EASTERN LIAONING
Wang Pinqing
Center for Remote Sensing in Geology
全文: PDF(484 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 本文详细地介绍了笔者近期完成的一项试验研究, 目的在于将遥感、地质及物化探等综合地 质信息用于矿产预测, 建立相应的数学模型, 为找矿圈定靶区。在研究工作中, 引人数学地质的 “区域化变量”概念, 利用线性构造信息及与区内铅锌矿产密切相关的岩性单元进行统计分析; 提取出与矿化有关的地质因子, 并利用二项分布函数, 以6km × 6km的网距, 计算出至少含一个 铅锌矿化点的概率值。最终, 得到一张反映区内至少含有一个矿化点的概率等值线图。它为区内 成矿地质条件评价及找矿远景区的选择提供了定量数据, 并为了一步将要进行的综合信息矿产预 测提供了重要的基础资料。野外验证期间, 在根据概率分析所圈定的异常区内, 发现了新的铅锌 矿化现象, 其评价工作还在进行之中。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
作者
测试
杨天春
肖巧玲
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.
     出版日期: 2011-08-02
引用本文:   
王品清. 陆地卫星TM数据用于辽东地区铅锌矿产预测的方法探索[J]. 国土资源遥感, 1990, 2(2): 42-49.
Wang Pinqing . APPLICATION OF LANDSAT TM DATA INTO REGIONAL PREDICTION FOR LEAD-ZINC DEPOSITS IN EASTERN LIAONING. REMOTE SENSING FOR LAND & RESOURCES, 1990, 2(2): 42-49.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.1990.02.07      或      https://www.gtzyyg.com/CN/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
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发