{"id":21614825,"url":"https://github.com/eea/clms-hrvpp-tools-python","last_synced_at":"2025-10-04T00:46:13.382Z","repository":{"id":62931935,"uuid":"560963089","full_name":"eea/clms-hrvpp-tools-python","owner":"eea","description":"Tools for using high-resolution vegetation phenology and productivity (HR-VPP) data from Copernicus Land Service","archived":false,"fork":false,"pushed_at":"2024-05-03T11:17:39.000Z","size":59419,"stargazers_count":10,"open_issues_count":0,"forks_count":1,"subscribers_count":8,"default_branch":"main","last_synced_at":"2025-03-25T04:42:07.900Z","etag":null,"topics":[],"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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/eea.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2022-11-02T16:34:29.000Z","updated_at":"2025-02-04T08:54:40.000Z","dependencies_parsed_at":"2024-04-24T10:56:47.211Z","dependency_job_id":"36ac44fe-c9d4-4074-89d2-e28c84cfebbb","html_url":"https://github.com/eea/clms-hrvpp-tools-python","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eea%2Fclms-hrvpp-tools-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eea%2Fclms-hrvpp-tools-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eea%2Fclms-hrvpp-tools-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eea%2Fclms-hrvpp-tools-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/eea","download_url":"https://codeload.github.com/eea/clms-hrvpp-tools-python/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248358555,"owners_count":21090402,"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":[],"created_at":"2024-11-24T22:09:28.879Z","updated_at":"2025-10-04T00:46:13.361Z","avatar_url":"https://github.com/eea.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# clms-hrvpp-tools-python\nPython code and notebooks for using high-resolution vegetation phenology and productivity (HR-VPP) data from Copernicus Land Service.\n\n## Data download\nHR-VPP data can be downloaded using the WekEO portal and the WekEO HDA (Harmonzied Data Access) API. [This notebook](https://github.com/eea/clms-hrvpp-tools-python/blob/main/HRVPP_hda_demo/HRVPP%20hda%20demo.ipynb) shows how to use the WekEO HDA.\n\nNext to that, an OpenSearch service is available to query the available HR-VPP datasets. When running on the CreoDIAS (CloudFerro) cloud, the data can be downloaded from the 'HRVPP' S3 bucket as shown in [this notebook](https://github.com/eea/clms-hrvpp-tools-python/blob/main/HRVPP_opensearch_demo/HRVPP%20overlay%20bucket%20demo.ipynb).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feea%2Fclms-hrvpp-tools-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Feea%2Fclms-hrvpp-tools-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Feea%2Fclms-hrvpp-tools-python/lists"}