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青海省柴达木盆地西北缘盐类矿产遥感预测研究
引用本文:张彤蕴,朱谷昌,杨自安,石菲菲,张建国. 青海省柴达木盆地西北缘盐类矿产遥感预测研究[J]. 矿产与地质, 2008, 22(6): 551-555
作者姓名:张彤蕴  朱谷昌  杨自安  石菲菲  张建国
作者单位:1. 中南大学地学院,湖南长沙,410083
2. 有色金属矿产地质调查中心,北京,100012
基金项目:国家科技攻关课题,青海省国土资源厅地勘项目 
摘    要:
利用ETM多光谱遥感图像,在对盐湖区的遥感影像特征和主要地物光谱特征分析的基础上,通过波段组合变换,压抑粘土及砂砾层等地物的影响,将盐类矿产信息增强提取出来。对比前人的钾盐矿田勘查成果,所提取的盐类信息异常与现代新盐带、湿盐滩和现正在开采的钾盐矿区十分吻合。结合区域地质背景与成矿条件的分析研究,圈定了4个预测区、9处有利地段,为进一步盐类矿产勘查提供了科学依据和目标地。

关 键 词:盐类矿产  ETM图像  波段比值  遥感预测

Remote sensing prediction of salt mineral resources occurred on the westnorth edge of Qaidam Basin, Qinghai Province
ZHANG Tong-yun,ZHU Gu-chang,YANG Zi-an,SHI Fei-fei,ZHANG Jian-guo. Remote sensing prediction of salt mineral resources occurred on the westnorth edge of Qaidam Basin, Qinghai Province[J]. Mineral Resources and Geology, 2008, 22(6): 551-555
Authors:ZHANG Tong-yun  ZHU Gu-chang  YANG Zi-an  SHI Fei-fei  ZHANG Jian-guo
Affiliation:ZHANG Tong-yun, ZHU Gu-chang, YANG Zi-an, SHI Fei-fei, ZHANG Jian-guo (1. School of Geosciences , Central South University, Chang sha 410083, China ; 2. China Non-ferrous Metals Resource Geological Survey, Bei jing 100012, China)
Abstract:
Salt mineral resources information could be strengthened and extracted by applying ETM multispectral remote sensing images to the salt lake area, analyzing the remote sensing images and major ground objects' spectral characters, transforming band combination, and reducing influence on ground objects induced by clay and gravel layer etc.. Comparing with the exploration fruits about K-salt mining area gained by former researchers, the anomalies about salt minerals extracted by the means of aforesaid methods is perfectly coincident with modern new salt-bearing zone, wet salina and K-salt ore area that is currently mining. Combining regional background and ore-forming conditions, the study has delimitated 4 predicting areas and 9 favorable sections, which will provide scientific references and target areas for further prospecting for salt mineral resources.
Keywords:salt mineral resources   ETM images   band ratio   remote sensing
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