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新疆地区西昆仑和田玉遥感信息提取与找矿远景区圈定

董振 荆林海 施光海 丁海峰 武唅

地质与勘探2024,Vol.60Issue(3):539-551,13.
地质与勘探2024,Vol.60Issue(3):539-551,13.DOI:10.12134/j.dzykt.2024.03.009

新疆地区西昆仑和田玉遥感信息提取与找矿远景区圈定

Extraction of Remote Sensing Information and Delineation of Prospecting Targets of Hetian Jade in West Kunlun,Xinjiang

董振 1荆林海 2施光海 1丁海峰 2武唅1

作者信息

  • 1. 中国地质大学(北京),北京 100083
  • 2. 中国科学院空天信息创新研究院数字地球重点实验室,北京 100094||中国科学院可持续发展大数据国际研究中心,北京 100094
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摘要

Abstract

Hetian jade in Xinjiang was mainly produced in the area from West Kunlun to Altun.These areas are high altitude and cold regions,so it is difficult to carry out geological survey directly.The current remote sensing technology has made significant progress in the exploration of hydrothermal deposits.The Hetian jade deposit is a hydrothermal deposit,leaving obvious mineral alteration information on the surface.It is theoretically feasible to find the Hetian jade deposit through remote sensing information technology.In this study,in Kangxiwa area of West Kunlun,multispectral data such as S2A and ASTER and hyperspectral data such as Gaofen 5 are used to extract alteration information related to Hetian jade mineralization,build a remote sensing prospecting model based on alteration information,delineate several Hetian jade remote sensing prospecting prospect areas,and conduct field verification of prospecting prospect areas.In several selected Hetian jade remote sensing prospecting prospect areas,typical alteration types of Hetian jade deposit,namely serpentinization and tremolite,as well as marble outcrops and jade mines under mining,have been found.The field verification results show that the Hetian jade remote sensing exploration technology used in this study is effective.

关键词

遥感/蚀变信息/遥感找矿模型/和田玉/西昆仑/新疆

Key words

remote sensing/alteration information/remote sensing mineral exploration model/Hetian jade/West Kunlun/Xinjiang

分类

天文与地球科学

引用本文复制引用

董振,荆林海,施光海,丁海峰,武唅..新疆地区西昆仑和田玉遥感信息提取与找矿远景区圈定[J].地质与勘探,2024,60(3):539-551,13.

基金项目

国家自然科学基金面上项目(编号:41972308)和科技部"第二次青藏高原综合科学考察研究"专项之课题"资源能源战略储备综合评估(编号:2019QZKK0806)"联合资助. (编号:41972308)

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