scholarly journals Statistical summary of geochemical data furnished by 146 laboratories for six geochemical exploration reference samples

1987 ◽  
Author(s):  
B.F. Arbogast ◽  
D.E. Detra ◽  
George VanTrump
Keyword(s):  
Geochemical Data ◽  
Geochemical Exploration ◽  
Reference Samples ◽  
Statistical Summary

scholarly journals Quantitative Remote Sensing of Metallic Elements for the Qishitan Gold Polymetallic Mining Area, NW China

2021 ◽  
Vol 13 (13) ◽  
pp. 2519
Author(s):  
Gong Cheng ◽  
Huikun Huang ◽  
Huan Li ◽  
Xiaoqing Deng ◽  
Rehan Khan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Kriging Interpolation ◽  
Geochemical Data ◽  
Surface Element ◽  
Metallic Elements ◽  
Geochemical Exploration ◽  
Sensing Data ◽  
Quantitative Remote Sensing ◽  
Ore Prospecting

The recent development in remote sensing imagery and the use of remote sensing detection feature spectrum information together with the geochemical data is very useful for the surface element quantitative remote sensing inversion study. This aim of this article is to select appropriate methods that would make it possible to have rapid economic prospecting. The Qishitan gold polymetallic deposit in the Xinjiang Uygur Autonomous Region, Northwest China has been selected for this study. This paper establishes inversion maps based on the contents of metallic elements by integrating geochemical exploration data with ASTER and WorldView-2 remote sensing data. Inversion modelling maps for As, Cu, Hg, Mo, Pb, and Zn are consistent with the corresponding geochemical anomaly maps, which provide a reference for metallic ore prospecting in the study area. ASTER spectrum covers short-wave infrared and has better accuracy than WorldView-2 data for the inversion of some elements (e.g., Au, Hg, Pb, and As). However, the high spatial resolution of WorldView-2 drives the final content inversion map to be more precise and to better localize the anomaly centers of the inversion results. After scale conversion by re-sampling and kriging interpolation, the modeled and predicted accuracy of the models with square interpolation is much closer compare with the ground resolution of the used remote sensing data. This means our results are much satisfactory as compared to other interpolation methods. This study proves that quantitative remote sensing has great potential in ore prospecting and can be applied to replace traditional geochemical exploration to some extent.

Elemental concentrations in the United States Geological Survey's Geochemical Exploration Reference samples - a review

1979 ◽  
Vol 51 (9) ◽  
pp. 1557-1569 ◽  
Author(s):  
Ernest S. Gladney ◽  
Daniel R. Perrin ◽  
James W. Owens ◽  
Daryl. Knab
Keyword(s):  
United States ◽  
The United States ◽  
Geochemical Exploration ◽  
Elemental Concentrations ◽  
Reference Samples
Sign in / Sign up

Export Citation Format

Share Document