基于ASTER和WorldView-3数据在新疆坡北地区蚀变矿物信息提取对比研究
Comparative Study on Extracting Altered Mineral Information in the Pobei Area of Xinjiang Based-on ASTER and WorldView-3 Data
王平平 1王婷 1赵慧 2姚虎 3尹艺霖 4Kong Lingfeng5
作者信息
- 1. 河南省自然资源监测和国土整治院,河南郑州 450016
- 2. 昆明理工大学,云南 昆明 650093
- 3. 云南开放大学,云南 昆明 650000
- 4. 河南省有色金属地质矿产局第一地质大队,河南郑州 450016
- 5. Henan Provincial Natural Resources Monitoring and Land Regulation Institute,Zhengzhou,Henan,450016,China
- 折叠
摘要
利用ASTER和WorldView-3数据进行预处理,通过借鉴和分析ASTER数据矿物指数、矿物指数法理论、蚀变矿物光谱特征规律,总结提出WorldView-3数据蚀变矿物指数.通过观察研究区蚀变矿物信息分布情况,对比分析ASTER和WorldView-3数据蚀变矿物信息提取的适用性.ASTER数据更适用于赤铁矿、褐铁矿,黄钾铁矾矿物信息提取,WorldView-3数据更适用于白云母、绿泥石、绿帘石、菱铁矿、方解石矿物的信息提取.同时,结合研究区地质特征,预测了成矿远景区.基于ASTER和WorldView-3数据蚀变矿物指数,实现两种数据的优势互补,完善了WorldView-3数据蚀变矿物信息提取.预测成矿远景区对进一步找矿提供了参考.
Abstract
This article used ASTER and WorldView-3 data to preprocess the data.By referencing and analyzing the mineral index of ASTER data,the theory of mineral index method,and the spectral characteristics of altered minerals,the WorldView-3 data altered mineral index was summarized and proposed.By observing the distribution of altered min-eral information in the study area,the applicability of extracting altered mineral information from ASTER and World-View-3 data was compared and analyzed.ASTER data is more suitable for extracting mineral information from hematite,limonite,and jarosite,while WorldView-3 data is more suitable for extracting mineral information from muscovite,chlo-rite,epidote,siderite,and calcite.At the same time,based on the geological characteristics of the study area,a prospec-tive mineralization area was predicted.Based on ASTER and WorldView-3 data on altered mineral indices,the comple-mentary advantages of the two types of data have been achieved,improving the extraction of altered mineral information from WorldView-3 data.The predicted mineralization prospect area provides a reference for further exploration.
关键词
ASTER/WorldView-3/矿物光谱指数/蚀变矿物信息/成矿远景Key words
ASTER/WorldView-3/Mineral spectral index/Altered mineral information/Ore-forming prospect引用本文复制引用
基金项目
云南省教育厅科研项目(2023J0800)
出版年
2024
NETL
NSTL
万方数据