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GIS-based mineral prospectivity mapping using machine learning methods: A case study from Zhuonuo ore district, Tibet 期刊论文
ORE GEOLOGY REVIEWS, 2023, 卷号: 161
作者:  Cheng, Hongjun;  Zheng, Youye;  Wu, Song;  Lin, Yibin;  Gao, Feng;  Lin, Decai;  Wei, Jiangang;  Wang, Shucheng;  Shu, Defu;  Wei, Shoucai;  Chen, Lie
收藏  |  浏览/下载：1/0  |  提交时间：2024/03/01
Porphyry metallogenic system  RBFLN  Gangdese polymetallic belt  Mineral prospectivity mapping  Machine learning  Random forests  
Mineral Prospectivity Mapping of Porphyry Copper Deposits Based on Remote Sensing Imagery and Geochemical Data in the Duolong Ore District, Tibet 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 2
作者:  Fu, Yufeng;  Cheng, Qiuming;  Jing, Linhai;  Ye, Bei;  Fu, Hanze
收藏  |  浏览/下载：0/0  |  提交时间：2024/03/01
Duolong ore district  porphyry metallogenic system  hyperspectral information extraction  deep learning  mineral prospectivity mapping  
Auto encoder generative adversarial networks - based mineral prospectivity mapping in Lhasa area, Tibet 期刊论文
JOURNAL OF GEOCHEMICAL EXPLORATION, 2023, 卷号: 255
作者:  Xie, Miao;  Liu, Bingli;  Wang, Lu;  Li, Cheng;  Kong, Yunhui;  Tang, Rui
收藏  |  浏览/下载：0/0  |  提交时间：2024/03/01
C -A fractal  Compositional data analysis  Deep learning  Mineral prospectivity mapping  
Assessment of undiscovered copper resources of the world, 2015 科技报告
报告编号: 70201026, 页数: 644, 2019
作者:  Hammarstrom, Jane M. jhammars@usgs.gov;  Zientek, Michael L.;  Parks, Heather L. hparks@usgs.gov;  Dicken, Connie L. cdicken@usgs.gov;  U.S. Geological Survey Global Copper Mineral Resource Assessment Team
Adobe PDF(324154Kb)  |  收藏  |  浏览/下载：97/28  |  提交时间：2019/11/06
Focus areas for data acquisition for potential domestic sources of critical minerals—Rare earth elements 科技报告
报告编号: 70202572, 页数: 21, 2019
作者:  Hammarstrom, Jane M. jhammars@usgs.gov;  Dicken, Connie L. cdicken@usgs.gov
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：36/20  |  提交时间：2019/11/06
Negative Emissions Technologies and Reliable Sequestration A Research Agenda 科技报告
, 2018
作者:  [unavailable]
Adobe PDF(24925Kb)  |  收藏  |  浏览/下载：6/0  |  提交时间：2021/11/24
3D Groundwater Vulnerability 科技报告
, 2018
浏览  |  Adobe PDF(10057Kb)  |  收藏  |  浏览/下载：45/6  |  提交时间：2019/11/06
ORAMA project deliverable 1.2. Final analysis and recommendations for the improvement of statistical data collection methods in Europe for primary raw materials 科技报告
, 2018
Adobe PDF(3588Kb)  |  收藏  |  浏览/下载：15/10  |  提交时间：2019/11/06
Descriptive models for epithermal gold-silver deposits: Chapter Q in 科技报告
报告编号: 70196376, , 2018
作者:  John, David A. djohn@usgs.gov;  Vikre, Peter G. pvikre@usgs.gov;  du Bray, Edward A. edubray@usgs.gov;  Blakely, Richard J. blakely@usgs.gov;  Fey, David L. dfey@usgs.gov;  Rockwell, Barnaby W. barnabyr@usgs.gov;  Mauk, Jeffrey L. jmauk@usgs.gov;  Anderson, Eric D. ericanderson@usgs.gov;  Graybeal, Frederick T.
Adobe PDF(39815Kb)  |  收藏  |  浏览/下载：42/17  |  提交时间：2019/11/06
UKGEOS: Glasgow Geothermal Energy Research Field Site (GGERFS): initial summary of the geological platform 科技报告
, 2017
Adobe PDF(20549Kb)  |  收藏  |  浏览/下载：14/4  |  提交时间：2019/11/06