{"id":30201493,"url":"https://github.com/esipfed/serverlessworkflows","last_synced_at":"2025-08-13T10:50:26.776Z","repository":{"id":71080159,"uuid":"220269089","full_name":"ESIPFed/serverlessworkflows","owner":"ESIPFed","description":"Repository for the \"Scalable Serverless Workflows for Processing Cubesat Imagery\" Summer Incubator 2019 ","archived":false,"fork":false,"pushed_at":"2020-04-12T01:40:52.000Z","size":266,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-06-11T16:54:07.767Z","etag":null,"topics":["esip-lab"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/ESIPFed.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":"2019-11-07T15:31:01.000Z","updated_at":"2024-02-01T21:00:08.000Z","dependencies_parsed_at":"2023-09-22T08:47:32.825Z","dependency_job_id":null,"html_url":"https://github.com/ESIPFed/serverlessworkflows","commit_stats":{"total_commits":9,"total_committers":2,"mean_commits":4.5,"dds":"0.11111111111111116","last_synced_commit":"1afdeebf7f1d66fa16adfe9b59f202e4fd0cc7d5"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ESIPFed/serverlessworkflows","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ESIPFed%2Fserverlessworkflows","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ESIPFed%2Fserverlessworkflows/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ESIPFed%2Fserverlessworkflows/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ESIPFed%2Fserverlessworkflows/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ESIPFed","download_url":"https://codeload.github.com/ESIPFed/serverlessworkflows/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ESIPFed%2Fserverlessworkflows/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270228429,"owners_count":24548817,"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","status":"online","status_checked_at":"2025-08-13T02:00:09.904Z","response_time":66,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["esip-lab"],"created_at":"2025-08-13T10:50:17.313Z","updated_at":"2025-08-13T10:50:26.740Z","avatar_url":"https://github.com/ESIPFed.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"This is the repository for the ESIP Lab Summer Incubator 2019 Project: \"Scalable Serverless Workflows for Processing Cubesat Imagery to IdentifyFlowering Hotspots in Sub Alpine Meadows\"\n\nThe link to the proposal is [here](https://www.esipfed.org/wp-content/uploads/2019/08/ESIP2019-SWEEP-tan.pdf).\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ESIPFed/serverlessworkflows/master)\n\n### Contents of the repository ###\n- Example workflow notebook for retrieving Planet Imagery\n- Example workflow notebook for retrieving Landsat imagery\n- Example workflow notebook for calculating phenology from NDVI\n\n### Example serveless setup on AWS Lambda ###\n\n![](/images/planet_workflow.png)\n\nNote that each square in the image above represents a short Python code that is executed in Lambda.\n\n#### Deliverables completed\n1. Develop workflow on AWS \nWe executed the codes in the Notebook repository using AWS Lambda and AWS Fargate (container orchestration) for longer run times. The code in the notebooks should as standalone Python scripts without the use of AWS Lambda. See the image above for how each code snippet corresponds to a Lambda function. \n\n2. Test and validate workflow with Planet imagery and in-situ data\nAll results are available in this presentation: https://docs.google.com/presentation/d/1AlCy55YtAT0OVF7tbH1M6R792Eu2RTtcEoDESteAHbM/edit#slide=id.p1\n\n3. Conference travel, presentations and reports to the 2020 ESIP Winter meeting \nWe presented our results from No.2 at the ESIP 2020 Winter Meeting\n\n#### Measures of outreach\n\nWe are currently working on expanding the scope of this project i.e. using serverless processes to working on identifying greening of Arctic lakes. We have also presented at the ESIP 2020 Winter Meeting and the [12th IEEE/ACM International Conference](https://www.researchgate.net/publication/337700445_SWEEP_Accelerating_Scientific_Research_Through_Scalable_Serverless_Workflows)\n\n#### Impact of project \nWe are currently working on a manuscript to be submitted to the Journal of Remote Sensing\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesipfed%2Fserverlessworkflows","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fesipfed%2Fserverlessworkflows","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesipfed%2Fserverlessworkflows/lists"}