{"id":15060591,"url":"https://github.com/aazuspan/landsat-bigquery","last_synced_at":"2026-01-03T04:07:20.156Z","repository":{"id":257509962,"uuid":"858319672","full_name":"aazuspan/landsat-bigquery","owner":"aazuspan","description":"Summarizing 51 years of Landsat data using Earth Engine and BigQuery","archived":false,"fork":false,"pushed_at":"2024-09-16T18:01:36.000Z","size":2292,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-21T22:09:52.523Z","etag":null,"topics":["bigquery","google-earth-engine","landsat"],"latest_commit_sha":null,"homepage":"https://www.aazuspan.dev/blog/summarizing-51-years-of-landsat-data/","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/aazuspan.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-16T17:33:59.000Z","updated_at":"2024-09-17T00:46:46.000Z","dependencies_parsed_at":"2024-09-17T05:36:18.317Z","dependency_job_id":"5305769d-6578-463c-9814-b963b5c40ad3","html_url":"https://github.com/aazuspan/landsat-bigquery","commit_stats":null,"previous_names":["aazuspan/landsat-bigquery"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aazuspan%2Flandsat-bigquery","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aazuspan%2Flandsat-bigquery/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aazuspan%2Flandsat-bigquery/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aazuspan%2Flandsat-bigquery/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aazuspan","download_url":"https://codeload.github.com/aazuspan/landsat-bigquery/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243695589,"owners_count":20332629,"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":["bigquery","google-earth-engine","landsat"],"created_at":"2024-09-24T23:01:00.449Z","updated_at":"2026-01-03T04:07:20.097Z","avatar_url":"https://github.com/aazuspan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Summarizing Landsat with BigQuery\n\nThis is a demo project using the [Earth Engine-BigQuery connector](https://cloud.google.com/blog/products/data-analytics/new-bigquery-connector-to-google-earth-engine) to export every Landsat scene to a BigQuery table where they can be queried, summarized, and visualized to create the animation below.\n\nhttps://github.com/user-attachments/assets/d90b4773-f842-4250-bbe9-32036de65af0\n\nCheck out the accompanying [blog post](https://www.aazuspan.dev/blog/summarizing-51-years-of-landsat-data/) for more details.\n\n## Setup\n\nInstall Python dependencies from PyPI.\n\n```bash\npython -m venv .venv \u0026\u0026 source .venv/bin/activate\npip install -r requirements.txt\n```\n\nYou'll need `gcloud` to authenticate BigQuery. If you have `snap`, you can install it with:\n\n```bash\nsudo snap install google-cloud-cli --classic\n```\n\nOtherwise, follow the instructions [here](https://cloud.google.com/sdk/docs/install).\n\nThen run:\n\n```bash\ngcloud init \u0026\u0026 gcloud auth application-default login\n```\n\nSet the following in `src/config.py`:\n- `CLOUD_PROJECT`: The name of the Google Cloud Project to store tables under.\n- `DATASET_ID`: The name of the BigQuery dataset that you manually created in that cloud project.\n- `TABLE_ID`: The name of the table that will be generated on export.\n\n## Usage\n\n1. Run `python export.py` to generate the BigQuery table with all Landsat scenes. Wait for the task to complete.\n1. Run `python queries.py` to execute queries and generate outputs.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faazuspan%2Flandsat-bigquery","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faazuspan%2Flandsat-bigquery","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faazuspan%2Flandsat-bigquery/lists"}