{"id":17194448,"url":"https://github.com/dpilger26/goes","last_synced_at":"2025-03-25T07:27:26.052Z","repository":{"id":109493729,"uuid":"235261776","full_name":"dpilger26/GOES","owner":"dpilger26","description":"Tools for working with data from the Geostationary Operational Environmental Satellite system","archived":false,"fork":false,"pushed_at":"2020-02-01T07:22:30.000Z","size":703,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-30T06:43:50.872Z","etag":null,"topics":["data-science","python","satellite-imagery"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dpilger26.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-01-21T05:17:14.000Z","updated_at":"2020-02-01T07:56:54.000Z","dependencies_parsed_at":"2023-07-14T22:30:14.299Z","dependency_job_id":null,"html_url":"https://github.com/dpilger26/GOES","commit_stats":{"total_commits":10,"total_committers":1,"mean_commits":10.0,"dds":0.0,"last_synced_commit":"496d2e8ab2df1e9c712aceea9c2598bfb2c89d49"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpilger26%2FGOES","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpilger26%2FGOES/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpilger26%2FGOES/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dpilger26%2FGOES/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dpilger26","download_url":"https://codeload.github.com/dpilger26/GOES/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245417188,"owners_count":20611886,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","python","satellite-imagery"],"created_at":"2024-10-15T01:47:02.033Z","updated_at":"2025-03-25T07:27:26.023Z","avatar_url":"https://github.com/dpilger26.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GOES\nTools for working with data from the [Geostationary Operational Environmental Satellite](https://en.wikipedia.org/wiki/Geostationary_Operational_Environmental_Satellite) system\n\n[![GOES-16](https://raw.githubusercontent.com/dpilger26/GOES/master/thumbnail.png)](https://www.youtube.com/watch?v=zNCElNnWMUA\u0026feature=youtu.be)\n\n## Required Python Packages\n[numpy](https://numpy.org/)  \n```\npip install numpy\n```\n[matplotlib](https://matplotlib.org/)  \n```\npip install matplotlib\n```\n[netcdf4](https://unidata.github.io/netcdf4-python/netCDF4/index.html)  \n```\npip install netcdf4\n```\n[s3fs](https://s3fs.readthedocs.io/en/latest/)\n```\npip install s3fs\n```\n[opencv](https://docs.opencv.org/master/)\n```\npip install opencv-python\n```\n\n## Python Tools/Scripts  \n### [DownloadData.py](https://github.com/dpilger26/GOES/blob/master/scripts/DownloadData.py)\nA simple tool for downloading GOES netcdf4 files from AWS buckets using Python's s3fs library.  More details can be found from [here](http://home.chpc.utah.edu/~u0553130/Brian_Blaylock/cgi-bin/goes16_download.cgi).  \n\n### [ReadNetCDF4.py](https://github.com/dpilger26/GOES/blob/master/scripts/ReadNetCDF4.py)\nA simple tool for extracting and plotting the GOES imagery data from the netcdf4 files.\n\n### [VideoWriter.py](https://github.com/dpilger26/GOES/blob/master/scripts/VideoWriter.py)\nA basic wrapper class around the OpenCV VideoWriter for writing images to a video.\n\n### [MakeMovie.py](https://github.com/dpilger26/GOES/blob/master/scripts/MakeMovie.py)\nThe final script for producing a video of some GOES-16 data as seen [here](https://www.youtube.com/watch?v=zNCElNnWMUA\u0026feature=youtu.be).  The video shows 10 days of earth observations starting on 7/19/2019, in both the Blue 0.47 um, and SWIR 3.9 um bands.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdpilger26%2Fgoes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdpilger26%2Fgoes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdpilger26%2Fgoes/lists"}