{"id":26934959,"url":"https://github.com/virtufirm/land_classification_model","last_synced_at":"2025-04-02T11:13:20.719Z","repository":{"id":266919114,"uuid":"899764770","full_name":"VirtuFirm/Land_Classification_Model","owner":"VirtuFirm","description":"This repository hosts the Land Type Classification using Sentinel-2 Satellite Images project, which focuses on leveraging state-of-the-art deep learning techniques to classify various land types from multispectral satellite imagery","archived":false,"fork":false,"pushed_at":"2025-03-29T00:57:16.000Z","size":40468,"stargazers_count":1,"open_issues_count":1,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-29T01:32:56.461Z","etag":null,"topics":["ai","classification","cnn","data-science","deep-learning","depi","image-classification","landcover-classification","model","project"],"latest_commit_sha":null,"homepage":"","language":"CSS","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/VirtuFirm.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":"2024-12-07T00:56:51.000Z","updated_at":"2025-03-29T00:57:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"1979c464-3c87-4fed-99ba-e6fe614dac81","html_url":"https://github.com/VirtuFirm/Land_Classification_Model","commit_stats":null,"previous_names":["ali-el-badry/land_classification_model","virtufirm/land_classification_model"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VirtuFirm%2FLand_Classification_Model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VirtuFirm%2FLand_Classification_Model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VirtuFirm%2FLand_Classification_Model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/VirtuFirm%2FLand_Classification_Model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/VirtuFirm","download_url":"https://codeload.github.com/VirtuFirm/Land_Classification_Model/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246802627,"owners_count":20836373,"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":["ai","classification","cnn","data-science","deep-learning","depi","image-classification","landcover-classification","model","project"],"created_at":"2025-04-02T11:13:18.922Z","updated_at":"2025-04-02T11:13:20.527Z","avatar_url":"https://github.com/VirtuFirm.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🌍 Land Type Classification Using Sentinel-2 Satellite Images\n\nThis repository hosts the **Land Type Classification using Sentinel-2 Satellite Images** project, which focuses on developing a powerful deep learning model to classify different land types using multispectral satellite imagery. By harnessing the capabilities of Sentinel-2 data and Deep Neural Networks (DNNs), the project aims to contribute to crucial fields such as:\n\n- **Urban Planning** 🏙️  \n- **Agriculture** 🌾  \n- **Environmental Conservation** 🌳  \n\n## 📌 Project Highlights\n- **Multispectral Data Analysis:** Utilizing Sentinel-2 satellite imagery for precise land classification.  \n- **Deep Learning:** Implementing robust DNN architectures to achieve high classification accuracy.  \n- **Real-World Applications:** Supporting informed decision-making in sustainable development, resource management, and environmental monitoring.  \n\n## 🛠️ Milestones \u0026 Approach\nThe project is structured into clear phases to ensure thorough data processing, model training, evaluation, and deployment. Key milestones include:  \n1. **Data Collection and Preprocessing**  \n2. **Model Development and Optimization**  \n3. **Deployment and Usability Testing**  \n\n## 🔮 Future Prospects\nThis project sets the foundation for continuous improvement and scalability, offering valuable insights for future research and applications.  \n\n---\n\n## 🤝 Contributors\n**Alpha 5** will build innovative solutions for a sustainable future. 🌟\n- Aly El-Deen Yasser Ali (Known By Aly El-Badry) -- [Linkedin](https://www.linkedin.com/in/aly-el-badry/)\n- Mohammed Walid (Known by Mohammed Gafour) -- [Linkedin](https://www.linkedin.com/in/mohammadgafour/)\n- Amr Yasser  -- [Linkedin](https://www.linkedin.com/in/amryasser25/)\n- Dina Zahran -- [Linkedin](https://www.linkedin.com/in/dina-zahran-dz/)\n- Sherin Mohamed -- [Linkedin](https://www.linkedin.com/in/sherin-mohamed-sm/)\n\n## 📜 License  \nThis project is licensed under the [MIT License](LICENSE).  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvirtufirm%2Fland_classification_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvirtufirm%2Fland_classification_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvirtufirm%2Fland_classification_model/lists"}