Multiple influences on regolith characteristics from continental-scale geophysical and mineralogical remote sensing data using Self-Organizing Maps
We investigate the characteristics of regolith through the application of statistical learning to diverse layers of terrestrial, continental-scale remote sensing data. This combination allows us to explore the multiple influences of bedrock, climate, biota, landscape and time on regolith development and properties: an interdisciplinary geoscience modeling problem. From a wide variety of available data for Australia, we select remotely sensed geophysical, geomorphological and mineralogical...[Show more]
|Collections||ANU Research Publications|
|Source:||Remote Sensing of Environment|
|01_Cracknell_Multiple_influences_on_2015.pdf||5.49 MB||Adobe PDF||Request a copy|
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