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成矿预测中遥感与地质异常的综合分析——以兰坪盆地为例
引用本文:廖崇高,杨武年,徐凌,濮国梁.成矿预测中遥感与地质异常的综合分析——以兰坪盆地为例[J].地质找矿论丛,2003,18(1):66-70.
作者姓名:廖崇高  杨武年  徐凌  濮国梁
作者单位:成都理工大学,遥感与GIS研究所,四川,成都,610059
基金项目:国土资源部资源与环境科技攻关项目(95 02 001 06)资助。
摘    要:遥感技术以其独特的空间和波谱特性,使其在成矿预测中的地位更加稳固,它可以宏观、多方位地对矿床存在的有利区域加以预测;地质异常作为一种新的地质理论,通过定量统计分析方法把各种有利的成矿地质条件进行成矿有利度分析。地质异常场是一个综合异常场,是各种成矿地质因素的综合反映。地质异常综合评价更多是侧重于微观的、局部的分析。基于遥感技术和地质异常理论自身的优势和局限性,将遥感和地质异常相结合,充分发挥它们的优势,并在成矿预测中得到了很好效果。

关 键 词:遥感  成矿预测  兰坪盆地  云南  成矿地质条件  地质构造
文章编号:1001-1412(2003)01-0066-05
收稿时间:2002/9/2 0:00:00
修稿时间:2002年9月2日

THE SYNTHETIC ANALYSIS OF REMOTE SENSING AND GEO-ANOMALY ON ORE-FORMING PREDICTION--Taking the Lanping basin as an example
LIAO Chong-gao,YANG Wu-nian,XU Ling and PU Guo-liang.THE SYNTHETIC ANALYSIS OF REMOTE SENSING AND GEO-ANOMALY ON ORE-FORMING PREDICTION--Taking the Lanping basin as an example[J].Contributions to Geology and Mineral Resources Research,2003,18(1):66-70.
Authors:LIAO Chong-gao  YANG Wu-nian  XU Ling and PU Guo-liang
Institution:Institute of RS and GIS, Chengdu university of technology Chengdu 610059, China;Institute of RS and GIS, Chengdu university of technology Chengdu 610059, China;Institute of RS and GIS, Chengdu university of technology Chengdu 610059, China;Institute of RS and GIS, Chengdu university of technology Chengdu 610059, China
Abstract:With its particular spatial and spectral characteristic, the remote sensing becomes more effective on the ore-reforming prediction. The remote sensing can predict the advantageous ore-reforming area in macroscopic aspect and three dimensions. As a new geologic theory, the geologic abnormity theory marks various advantageous ore-forming geological conditions by quantitative statistical analytical method. We can see that geo-anomalous field is a synthetic anomalous field and also the synthetic reflect of various ore-forming factors. Geo-anomaly synthetic appraisment emphasize particularly on microscopic and partial analysis. In view of the advantages and limitation of the remote sensing and the geologic abnormity theory, the author tries to integrate the two methods and receive good ore prediction results.
Keywords:remote sensing  geo-anomaly  ore-forming prediction  Lanping basin  Yunnan
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