Identifying and mapping alteration minerals using hyspex airborne hyperspectral data and random forest algorithm

HIGHLIGHTS

• who: Identifying and collaborators from the State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, China, University of Chinese Academy of Sciences, Beijing, China have published the article: Identifying and Mapping Alteration Minerals Using HySpex Airborne Hyperspectral Data and Random Forest Algorithm, in the Journal: (JOURNAL)

SUMMARY

The HySpex airborne hyperspectral sensors are more effective in the advanced stage of exploration where there is a need to focus on small ground objects with spectral data at high spectral and spatial resolutions (Paoletti et_al, 2019 . . .

 



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