I am first and foremost an 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 landscape ecology. My work focuses largely on using machine learning along with multispectral and LiDAR remote sensing to assess landscape level vegetation structure and composition.
"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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