Dataset Open Access
Geoffrey A Fricker; Jonathan Daniel Ventura; Jeffrey Wolf; Malcolm P. North; Frank W. Davis; Janet Franklin
@dataset{geoffrey_a_fricker_2019_3470250, author = {Geoffrey A Fricker and Jonathan Daniel Ventura and Jeffrey Wolf and Malcolm P. North and Frank W. Davis and Janet Franklin}, title = {{A Convolutional Neural Network classifier identifies tree species in mixed-conifer forest from hyperspectral imagery}}, month = sep, year = 2019, note = {{Data to replicate the experiment is available for download in two zipped files: "NEON\_D17\_TEAK\_DP1QA \_20170627\_181333\_RGB\_Reflectance.zip" (Imagery) "CNN\_LABELS\_2019.zip" (Training Label Shapefiles) * Note: The imagery is 5.5 gb (zipped). All code used to run the analysis is located in a repository here: https://github.com/jonathanventura/canopy The only flightline you will need to repeat our results is called "NEON\_D17\_TEAK\_DP1\_20170627\_181333". If you download your own NEON data, the raw HDF 5 files can be converted to a geotiff using R code found here: http://neonscience.github.io/neon-data- institute-2016//R/open-NEON-hdf5-functions/ Contact the National Ecological Observatory Network (NEON) to download the comparable imagery data files for all sites and collections: https://data.neonscience.org/home.}}, publisher = {Zenodo}, doi = {10.5281/zenodo.3470250}, url = {https://doi.org/10.5281/zenodo.3470250} }
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