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Joe Celebrezze's Projects

deep-learning-and-remote-sensing icon deep-learning-and-remote-sensing

This is a repository that follows along the tutorial (https://www.youtube.com/watch?v=N3CHgRlRqOA) and that builds upon these practices using a separate test dataset

flam-methods-comparison icon flam-methods-comparison

'Tissue-level flammability testing: A review of existing methods and a comparison of a novel hot plate design to an epiradiator design', by Joe Celebrezze, Indra Boving, and Max Moritz

local-flam-paper icon local-flam-paper

'Live fuel moisture and shoot water potential exhibit contrasting relationships with leaf-level flammability thresholds during laboratory flammability tests', by Indra Boving, Joe Celebrezze, Aaron Ramirez, Ryan Salladay, Leander Love-Anderegg and Max Moritz

mem-workshop icon mem-workshop

Linear mixed effects modeling workshop for Arjan Meddens Lab Meeting (2/14/23)

postfire-recovery-spectral-recovery icon postfire-recovery-spectral-recovery

This repository contains data, scripts, and figures for the manuscript entitled 'A fast spectral recovery does not necessarily indicate post-fire forest recovery' which compares spectral recovery, topographic and climatic data, and field measurements of post-fire vegetation dynamics in the Blue Mountains, OR. For more information, see the README

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