Pinned Repositories
awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
blog
Try githubpages for my personal website.
my-website
my personal webiste repository
mypythonjourney
nazarabrory
Config files for my GitHub profile.
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
nazarabrory's Repositories
nazarabrory/awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
nazarabrory/blog
Try githubpages for my personal website.
nazarabrory/my-website
my personal webiste repository
nazarabrory/mypythonjourney
nazarabrory/nazarabrory
Config files for my GitHub profile.
nazarabrory/pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.