{"id":20395073,"url":"https://github.com/hamedalemo/stac-search-tutorial","last_synced_at":"2026-05-04T16:40:01.353Z","repository":{"id":197982865,"uuid":"695162659","full_name":"HamedAlemo/stac-search-tutorial","owner":"HamedAlemo","description":"A short tutorial on using STAC API and search for satellite imagery","archived":false,"fork":false,"pushed_at":"2024-10-24T04:13:47.000Z","size":1140,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-15T10:57:46.035Z","etag":null,"topics":["earth-observation-catalogue","geospatial","geospatial-analytics","geospatial-catalog","geospatial-data","remote-sensing","satellites","stac"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tutorial for Using a STAC API and Search for Satellite Scenes\n\nIn this tutorial, you will learn how to use PySTAC Client and search for satellite imagery using a STAC API. \nThis is part of the course on [Advanced Geospatial Analytics with Python](https://hamedalemo.github.io/advanced-geo-python/intro.html) taught since Fall 2023 at Clark University. \n\n\n## Requirements\n\nYou need to have Docker installed on your machine. \n\n## Instructions\n\nFirst, you need to pull this repository to your local computer:\n```\ngit clone git@github.com:HamedAlemo/stac-search-tutorial.git\n```\nChange your current directory to be inside the downloaded repository:\n```\ncd stac-search-tutorial\n```\n\n### Method 1: Pull Docker image from DockerHub (Recommended)\n\nIt's recommended to pull the Docker image from DockerHub.\n\n```\ndocker pull hamedalemo/stac-search-tutorial:1.1\n```\n```\ndocker run -it -v $(pwd):/home/jupyteruser -p 8888:8888 hamedalemo/stac-search-tutorial:1.1\n```\n\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `earth_search_tutorial.ipynb` and follow the instructions. \n\n### Method 2: Build your own Docker image (Not Recommended)\n\n- **Windows users:** It is highly recommended that you pull the Docker image, there seems to be an issue with conda-forge on WSL. \n- Build the Docker image using the following command:\n```\ndocker build -t stac-search-tutorial:1.1 .\n```\n- Run a container using the following command:\n```\ndocker run -it -v $(pwd):/home/jupyteruser -p 8888:8888 stac-search-tutorial:1.1\n```\n- Copy the Jupyter Lab url and paste it in your browser. \n- Open `earth_search_tutorial.ipynb` and follow the instructions. 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