My work focuses largely on integrating machine learning and remote sensing to assess landscape level vegetation structure and composition.
I am first and foremost a spatial ecologist working to promote the integrity, stability and beauty of the biotic community. I enjoy finding solutions to problems on this site that I otherwise would not have exposure to in my day-to-day work.
Interests: Remote sensing, GIS, machine learning, computer vision, spatial statistics, big data, wildlife conservation, and forest ecology.
"The feed-forward back-propagation multi-layer perceptron (MLP) is the type of neural network most commonly encountered in remote sensing..." Atkinson and Tatnall, 2010 International Journal of Remote Sensing
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