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

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