{"id":50864209,"url":"https://github.com/aliaksei135/seedpod_ground_risk","last_synced_at":"2026-06-14T23:34:17.009Z","repository":{"id":43125698,"uuid":"312352982","full_name":"aliaksei135/seedpod_ground_risk","owner":"aliaksei135","description":"Ground Risk model for UAS flight path analysis and risk-aware path finding","archived":false,"fork":false,"pushed_at":"2023-12-08T12:19:51.000Z","size":63927,"stargazers_count":11,"open_issues_count":11,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-06-11T18:03:36.931Z","etag":null,"topics":["drone","drones","ground-risks","population-model","risk-analysis","risk-modelling","uas","uav","unmanned-aerial-system"],"latest_commit_sha":null,"homepage":"","language":"Python","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/aliaksei135.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,"zenodo":null}},"created_at":"2020-11-12T17:46:47.000Z","updated_at":"2026-02-20T02:13:17.000Z","dependencies_parsed_at":"2025-04-11T11:26:54.395Z","dependency_job_id":null,"html_url":"https://github.com/aliaksei135/seedpod_ground_risk","commit_stats":null,"previous_names":[],"tags_count":9,"template":false,"template_full_name":null,"purl":"pkg:github/aliaksei135/seedpod_ground_risk","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aliaksei135%2Fseedpod_ground_risk","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aliaksei135%2Fseedpod_ground_risk/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aliaksei135%2Fseedpod_ground_risk/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aliaksei135%2Fseedpod_ground_risk/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aliaksei135","download_url":"https://codeload.github.com/aliaksei135/seedpod_ground_risk/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aliaksei135%2Fseedpod_ground_risk/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34296386,"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":"2026-06-13T02:00:06.617Z","response_time":62,"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":["drone","drones","ground-risks","population-model","risk-analysis","risk-modelling","uas","uav","unmanned-aerial-system"],"created_at":"2026-06-14T23:34:16.131Z","updated_at":"2026-06-14T23:34:16.999Z","avatar_url":"https://github.com/aliaksei135.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SEEDPOD Ground Risk Model\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4776529.svg)](https://doi.org/10.5281/zenodo.4776529)\n\nProof of Concept demonstrating modelling of UAS ground risk from open source data sources. This constructs a\nspatiotemporal population density map and evaluates the risk posed by a parameterised UAS. This risk map can then be\nused by pathfinding algorithms to determine routes that have a fixed risk threshold or minimize flight risk completely.\n\nAll data processing is performed locally, so performance depends on your machine spec. At least 8GiB of RAM is essential\nhowever.\n\nFunded by the Engineering and Physical Sciences Research Council on the E-Drone project\n([EP/V002619/1](https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V002619/1)).\n\n## Disclaimer\n\n***This is intended to provide guidance on overflight risks in terms of risk-to-life (RtL) and is by no means an\nextensive or complete picture of the ground risks. While the software is intended to promote safe drone flight, use of\nthis software does not in itself guarantee safe or legal drone operation. For the UK, [the CAA provides further information](https://caa.co.uk/drones)***\n\n## Usage\n\n### UI\n\nA Windows 64-bit installer is provided with each release. This is the easiest option for just using the tool. This works\non its own, however is not able to take advantage of the GPU, causing rather slow risk map generation. For this reason\nit is highly recommended to install the [Nvidia CUDA Toolkit](https://developer.nvidia.com/cuda-downloads).\n\n### CLI\n\nA CLI is provided to allow for automation. Currently this requires building your own wheels as local wheel dependencies\ncannot be packaged and distributed. The included data files also take the package above the PyPI limit.\n\nSee `BUILD.md` for further instructions.\n\n## License\n\n    MIT License\n    \n    Copyright (c) 2022 Aliaksei Pilko\n    \n    Permission is hereby granted, free of charge, to any person obtaining a copy\n    of this software and associated documentation files (the \"Software\"), to deal\n    in the Software without restriction, including without limitation the rights\n    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n    copies of the Software, and to permit persons to whom the Software is\n    furnished to do so, subject to the following conditions:\n    \n    The above copyright notice and this permission notice shall be included in all\n    copies or substantial portions of the Software.\n    \n    THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n    SOFTWARE.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faliaksei135%2Fseedpod_ground_risk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faliaksei135%2Fseedpod_ground_risk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faliaksei135%2Fseedpod_ground_risk/lists"}