遥感在大兴安岭森林覆盖区地质矿产调查中的应用——以黑龙江洛古河1:5万区域地质矿产调查工作为例

doi:10.13686/j.cnki.dzyzy.2022.05.007

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摘要大兴安岭地区森林覆盖严重, 气候严寒, 交通极为不便, 野外有效工作时间短, 给区域地质矿产调查工作增加了难度, 急需遥感手段提高成果质量和效率. 在黑龙江大兴安岭洛古河等4幅1:5万区域地质矿产调查工作中, 利用SPOT7、Landsat7/8、ASTER等多种遥感数据开展地质矿产解译, 进行遥感影像分区, 建立地层、构造和侵入岩解译标志, 提取羟基和铁染蚀变异常, 结合水系沉积物测量成果划分了成矿有利区, 有效降低了地质矿产调查强度, 提高了调查效率, 增强了调查质量. 表明遥感技术在大兴安岭高植被覆盖区地质矿产调查过程中能够取得较好效果.

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	周传芳
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	杨长保
	姜平
	冯嘉
	杜海双

关键词 ：遥感, 地质矿产调查, SPOT7, Landsat7/8, ASTER, 森林覆盖区, 大兴安岭

Abstract：Due to the heavy forest cover, harsh climate, inconvenient transportation and short effective time for field work in Daxinganling Mountains, remote sensing technology is urgently needed to improve the quality and efficiency of regional geological and mineral survey. In the 1 : 50 000 regional geological and mineral survey of Luoguhe in Heilongjiang Province, multiple remote sensing data including SPOT7, Landsat7/8 and ASTER are used for geological and mineral interpretation, remote sensing image zoning, establishment of interpretation markers for strata, structures and intrusive rocks, and extraction of hydroxyl and iron-stained alteration anomalies, and the favorable mineralization areas are divided combined with the stream sediment survey results, which both effectively reduces the geological survey intensity and improves the survey efficiency and quality. The study indicates that remote sensing technology can achieve good results in geological mineral survey in the dense vegetation coverage areas of Daxinganling Mountains.

Key words： remote sensing geological and mineral survey SPOT7 Landsat7/8 ASTER forest-covered area Daxinganling Mountains

收稿日期: 2021-07-21

PACS:

P627

基金资助:中国地质调查局项目"黑龙江大兴安岭地区洛古河、兴华沟林场、阿凌河、1072.3高地幅1:5万区域地质矿产调查"(DD2016007803), "大兴安岭山区生态地质调查"(DD20191014)

作者简介: 周传芳(1985—), 男, 硕士, 工程师, 主要从事区域地质矿产、生态地质及多金属勘查和研究, 通信地址黑龙江省哈尔滨市南岗区保健副路1号, E-mail//546011015@qq.com

引用本文:

周传芳, 陈卓, 孙彦峰, 梁中恺, 杨长保, 姜平, 冯嘉, 杜海双. 遥感在大兴安岭森林覆盖区地质矿产调查中的应用——以黑龙江洛古河1:5万区域地质矿产调查工作为例[J]. 地质与资源, 2022, 31(5): 632-641.
ZHOU Chuan-fang, CHEN Zhuo, SUN Yan-feng, LIANG Zhong-kai, YANG Chang-bao, JIANG Ping, FENG Jia, DU Hai-shuang. REMOTE SENSING APPLIED IN GEOLOGICAL AND MINERAL SURVEY IN FOREST-COVERED AREA OF DAXINGANLING MOUNTAINS: A Case Study of : 50 000 Regional Geological and Mineral Survey in Luoguhe, Heilongjiang Province. GEOLOGY AND RESOURCES, 2022, 31(5): 632-641.

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