{"id":17671577,"url":"https://github.com/giswqs/depression-analysis-toolbox","last_synced_at":"2025-05-12T15:23:07.861Z","repository":{"id":96384469,"uuid":"196642534","full_name":"giswqs/Depression-Analysis-Toolbox","owner":"giswqs","description":"An ArcGIS toolbox for identifying nested depressions in digital elevation models (DEMs)","archived":false,"fork":false,"pushed_at":"2019-07-13T01:11:05.000Z","size":2847,"stargazers_count":13,"open_issues_count":0,"forks_count":9,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-31T23:38:48.175Z","etag":null,"topics":["digital-elevation-model","geospatial","gis","image-processing","lidar","python","remote-sensing"],"latest_commit_sha":null,"homepage":"https://doi.org/10.6084/m9.figshare.8866178","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/giswqs.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":"2019-07-12T20:34:51.000Z","updated_at":"2025-03-03T15:40:28.000Z","dependencies_parsed_at":"2023-05-06T13:24:24.954Z","dependency_job_id":null,"html_url":"https://github.com/giswqs/Depression-Analysis-Toolbox","commit_stats":{"total_commits":3,"total_committers":1,"mean_commits":3.0,"dds":0.0,"last_synced_commit":"2b94987948e162fe760295cfa06cd996fc16629d"},"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/giswqs%2FDepression-Analysis-Toolbox","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/giswqs%2FDepression-Analysis-Toolbox/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/giswqs%2FDepression-Analysis-Toolbox/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/giswqs%2FDepression-Analysis-Toolbox/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/giswqs","download_url":"https://codeload.github.com/giswqs/Depression-Analysis-Toolbox/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249902398,"owners_count":21342834,"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":["digital-elevation-model","geospatial","gis","image-processing","lidar","python","remote-sensing"],"created_at":"2024-10-24T03:42:53.788Z","updated_at":"2025-04-20T13:31:14.922Z","avatar_url":"https://github.com/giswqs.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Depression-Analysis-Toolbox\n\nThis repository contains an ArcGIS toolbox and associated Python scripts for delineating nested depressions in digital elevation models (DEMs).\n\n## References\n\n* **Wu, Q.**, Liu, H., Wang, S., Yu, B., Beck, R., \u0026 Hinkel, K. (2015). A localized contour tree method for deriving geometric and topological properties of complex surface depressions based on high-resolution topographic data. _International Journal of Geographical Information Science_, 29(12), 2041-2060. \u003chttps://doi.org/10.1080/13658816.2015.1038719\u003e\n\n* **Wu, Q.**, \u0026 Lane, C. R. (2016). Delineation and quantification of wetland depressions in the Prairie Pothole Region of North Dakota. _Wetlands_, 36(2), 215-227. \u003chttps://doi.org/10.1007/s13157-015-0731-6\u003e\n\n* **Wu, Q.**, Deng, C., \u0026 Chen, Z. (2016). Automated delineation of karst sinkholes from LiDAR-derived digital elevation models. _Geomorphology_, 266, 1-10. \u003chttps://doi.org/10.1016/j.geomorph.2016.05.006\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiswqs%2Fdepression-analysis-toolbox","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgiswqs%2Fdepression-analysis-toolbox","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgiswqs%2Fdepression-analysis-toolbox/lists"}