{"id":19740239,"url":"https://github.com/nceas/msai4earth-esa","last_synced_at":"2026-06-20T18:31:24.099Z","repository":{"id":37558544,"uuid":"414705008","full_name":"NCEAS/msai4earth-esa","owner":"NCEAS","description":"MSAI4Earth Ecosystem assessment ","archived":false,"fork":false,"pushed_at":"2023-11-14T00:18:22.000Z","size":308286,"stargazers_count":2,"open_issues_count":4,"forks_count":0,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-10-28T09:29:50.800Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NCEAS.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":"2021-10-07T17:55:04.000Z","updated_at":"2024-01-12T18:23:15.000Z","dependencies_parsed_at":"2023-11-14T01:38:55.152Z","dependency_job_id":null,"html_url":"https://github.com/NCEAS/msai4earth-esa","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/NCEAS/msai4earth-esa","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCEAS%2Fmsai4earth-esa","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCEAS%2Fmsai4earth-esa/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCEAS%2Fmsai4earth-esa/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCEAS%2Fmsai4earth-esa/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NCEAS","download_url":"https://codeload.github.com/NCEAS/msai4earth-esa/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NCEAS%2Fmsai4earth-esa/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34581934,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-20T02:00:06.407Z","response_time":98,"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":[],"created_at":"2024-11-12T01:20:08.754Z","updated_at":"2026-06-20T18:31:24.081Z","avatar_url":"https://github.com/NCEAS.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# msai4earth-esa\n\nThis repository gathers code for the joint project between NCEAS and Microsoft to develop a new approach Ecosystem assessment.\n\n\n# Active projects:\n**iceplant_detection**\n\nThis is a working repository for an NCEAS project that uses machine learning techniques to identify areas with ice plant (Carpobrotus edulis) along the Santa Barbara County coast. In this project we analyse aerial images collected by the National Agriculture Imagery Program (NAIP) from 2012 to 2020.\n\nC. edulis is a succulent shrub native to coastal areas of South Africa, a region with a climate similar to that of coastal areas in California, where this plant has become an invasive species. At locations outside its native range  C. edulis competes directly with several native, threatened or endangered plant species for nutrients, water, light, and space [[1]](http://issg.org/database/species/impact_info.asp?si=1010\u0026fr=1\u0026sts=\u0026lang=EN). \n\n**examples**\n\nExamples of accessing and handling Landsat, GBIF, NAIP and other data through the Planetary Computer.\n\n\n# Archived:\n\n**ecosystem_change**\n\nDeveloped climate data layers to detect potential zones of change or stress in the environment at the CA State level. \n\n\n**IUCN_trials**\n\nR notebooks exploring the spatial metrics from [IUCN Red List Assessments package](https://cran.r-project.org/web/packages/redlistr/vignettes/redlistr-vignette.html). \n\n\n# Data:\n  \n**shapefiles_n_rasters**\nFolder with various shapefiles and rasters used throughout.\n- CA_geometry\n  California, US boundary shapefile. [Source](https://data.ca.gov/dataset/ca-geographic-boundaries)\n- Santa Barbara, CA shapefile. \n  Shapefile of Santa Barbara County's boundary [Source](https://databasin.org/datasets/1cdc07adea7d4dee9cc1f07ab44cfef3/)\n- sedgwick_reserve\n  - sedgwick_geometry\n  Shapefile of the University of California's Sedgwick Reserve. [Source](https://www.dropbox.com/sh/kwt1dvdsloe5fep/AAA-HJPYdnPEOoSdD6dJKKMma/Sedgwick%20Reserve%20(32)?dl=0\u0026preview=Sedgwick.zip\u0026subfolder_nav_tracking=1)\n  - Raster file of different vegetation types at Sedgwick Reserve 2017. [Source](https://databasin.org/datasets/6693af651946425c8633551df0457526/)\n- calflora\n   \n\n\n  \n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnceas%2Fmsai4earth-esa","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnceas%2Fmsai4earth-esa","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnceas%2Fmsai4earth-esa/lists"}