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基于遥感手段的高寒山区矿产资源远景区快速圈定与综合评价技术集成
引用本文:黄理善,李学彪,荆林海,丁海峰,莫江平,裴超,曾晖.基于遥感手段的高寒山区矿产资源远景区快速圈定与综合评价技术集成[J].中国地质,2022,49(1):253-270.
作者姓名:黄理善  李学彪  荆林海  丁海峰  莫江平  裴超  曾晖
作者单位:1. 中国有色桂林矿产地质研究院有限公司;2. 中国科学院遥感与数字地球研究所
基金项目:“十二五”国家科技支撑计划项目(2015BAB05B00);
摘    要:【研究目的】新疆西昆仑地区是中国重要的成矿带,海拔高、气候恶劣、地形切割强烈,开展找矿工作极其困难,急需一套高效找矿技术体系实现找矿突破。【研究方法】本文利用TM、ETM+、OLI、ASTER、高分1号与2号、WorldView-2/3等卫星数据,采用雷达图像与光学图像的融合技术、改进的Crosta方法(iCrosta)、能谱-面积(S-A)分形滤波方法、图像滤波等一系列遥感蚀变异常提取方法提取矿化蚀变信息,并利用证据权模型和模糊证据权模型方法将遥感信息与地质、地球化学数据进行信息融合,圈定找矿远景区;在重点远景区的找矿靶区内开展地面土壤/岩屑地球化学野外现场快速分析(XRF和LIBS)和轻便地球物理探测(AMT、IP等),快速追索、圈定和评价异常。【研究结果】结合成矿地质背景、成矿规律和找矿标志,圈定了24处找矿远景区,经地面地球化学、地球物理和浅部工程验证,确认了黑山、平地等铅锌矿(化)点,实现快速找矿。【结论】集遥感综合信息提取、多元地学信息融合及地面物化探快速评价方法为一体的矿产资源圈定与评价技术非常适合在高寒山区开展。

关 键 词:遥感示矿信息提取  地球物理勘探  地球化学勘探  矿产勘查工程  高寒山区  新疆西昆仑
收稿时间:2019/9/25 0:00:00
修稿时间:2020/2/10 0:00:00

Integration of rapid delineation and comprehensive evaluation technology of mineral resources prospect area in alpine mountainous area based on remote sensing
HUANG Lishan,LI Xuebiao,JING Linhai,DING Haifeng,MO Jiangping,PEI Chao,ZENG Hui.Integration of rapid delineation and comprehensive evaluation technology of mineral resources prospect area in alpine mountainous area based on remote sensing[J].Chinese Geology,2022,49(1):253-270.
Authors:HUANG Lishan  LI Xuebiao  JING Linhai  DING Haifeng  MO Jiangping  PEI Chao  ZENG Hui
Institution:China Nonferrous Guilin Mineral Geology Research Institute Co., Ltd., Guilin, 541004, Guangxi, China;Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing, 100094, China
Abstract:This paper is the result of mineral exploration engineering.Objective]The West Kunlun region of Xinjiang is an important metallogenic belt in China, with high altitude, bad climate and strong topographic cutting; it is extremely difficult to carry out prospecting. It is urgent to establish an efficient prospecting technology system to achieve a breakthrough in prospecting. Methods] In this paper, TM, ETM+, OLI, ASTER, Gaofen1 and 2, WorldView-2/3 and other satellite data are used, and the fusion technology of radar image and optical image, improved crosta method (iCrota) and energy spectrum area are adopted (S-A) a series of remote sensing alteration anomaly extraction methods such as fractal filtering method and image filtering are used to extract mineralization alteration information, and the remote sensing information is fused with geological and geochemical data by using evidence weight model and fuzzy evidence weight model, so as to delineate prospecting scenic spots; In the prospecting target areas of key prospective areas, field rapid field analysis (XRF and LIBS) and portable geophysical exploration (AMT, IP, etc.) of ground soil/debris geochemistry are carried out to quickly trace, delineate and evaluate anomalies. Results] Combined with metallogenic geological background, metallogenic law and prospecting signs, 24 prospecting prospects were delineated. After verification of surface geochemistry, geophysics and shallow engineering, lead-zinc mineralization (mineralization) points such as Heishan and Pingdi were confirmed to realize rapid prospecting. Conclusions]The mineral resource delineation and evaluation technology, which integrate remote sensing comprehensive information extraction, multiple geoscience information fusion and rapid evaluation method of surface geophysical and geochemical exploration, is very suitable to be carried out in Alpine mountainous areas.Highlights: The mineralization alteration information is extracted by remote sensing technology, and the remote sensing information is fused with geological and geochemical data by using evidence weight model and fuzzy evidence weight model, so as to quickly delineate the prospecting prospect; Rapid field analysis of soil/rock debris geochemistry and portable geophysical methods are used to quickly trace, delineate and evaluate prospecting targets.
Keywords:remote sensing information extraction  geophysical prospecting  geochemical prospecting  mineral exploration engineering  alpine mountainous area  West Kunlun  Xinjiang
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