Remote sensing and GIS-based prediction and assessment of copper-gold resources in Thailand

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Yang, Shasha^1 ; Wang, Gongwen^1 ; Du, Wenhui^1 ; Huang, Luxiong^1

State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, BeiJing 100083, China^1

关键词: Geological factors;    Geological information;    Metallogenic models;    Prediction and assessments;    Remote sensing and GIS;    Remote sensing images;    Remote sensing information;    Weights of evidences;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012176/pdf
DOI  :  10.1088/1755-1315/17/1/012176

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Quantitative integration of geological information is a frontier and hotspot of prospecting decision research in the world. The forming process of large scale Cu-Au deposits is influenced by complicated geological events and restricted by various geological factors (stratum, structure and alteration). In this paper, using Thailand's copper-gold deposit district as a case study, geological anomaly theory is used along with the typical copper and gold metallogenic model, ETM+ remote sensing images, geological maps and mineral geology database in study area are combined with GIS technique. These techniques create ore-forming information such as geological information (strata, line-ring faults, intrusion), remote sensing information (hydroxyl alteration, iron alteration, linear-ring structure) and the Cu-Au prospect targets. These targets were identified using weights of evidence model. The research results show that the remote sensing and geological data can be combined to quickly predict and assess for exploration of mineral resources in a regional metallogenic belt.