Geoprospector is a software solution developed to identify potential natural resources locations using Google Maps satellite images. It utilizes advanced algorithms and machine learning techniques to analyze satellite imagery and pinpoint areas suitable for various purposes, including the construction of solar power plants, windmills, and other renewable energy infrastructure.
- Analyzes satellite images to identify potential natural resources locations.
- Incorporates advanced algorithms for accurate location identification.
- Trained with a vast volume of satellite data to improve accuracy.
- Supports constraints to ensure the selection of viable locations.
- Streamlines the process of resource exploration and contributes to sustainable development initiatives.
- Upload satellite images to the Geoprospector interface.
- Configure constraints and parameters for analysis.
- Run the analysis to identify potential natural resources locations.
- Review the results and export data as needed.
- Google Maps API
- Machine Learning algorithms
- Python programming language
- Flask framework
- Integration with additional satellite data sources.
- Enhanced visualization of analysis results.
- Real-time data updates and notifications.
- Integration with GIS software for advanced geospatial analysis.
If you're interested in contributing to Geoprospector, please fork the repository and submit pull requests with your enhancements or bug fixes.
This project is licensed under the MIT License.