Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm
Emmanuel John M. Carranza(University of the Free State), Alice G. Laborte(International Rice Research Institute)
Cited by 266
Related Papers
Multi- and hyperspectral geologic remote sensing: A review
|International Journal of Applied Earth Observation and Geoinformation|2011|1.1k
Multi - and hyperspectral geologic remote sensing : a review
|ResearchOnline at James Cook University (James Cook University)|2011|812
Arsenic geochemistry and health
|Environment International|2004|582
Support vector machine: A tool for mapping mineral prospectivity
|Computers & Geosciences|2010|510
Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)
|Remote Sensing of Environment|2007|438