AI Geospatial Imagery Detection: Buildings, Cars & More

Unlock the Power of Geospatial Imagery with AI Detection

Transform raw geospatial data into actionable insights with our AI Geospatial Imagery Detection skill. Seamlessly integrate into your AI development workflow to identify buildings, cars, ships, solar panels, and other structures through pre-trained models. Maximize performance with GPU support and experience precision in geospatial analysis like never before.

What This Skill Does

• Step 1 — Parse Arguments: Begin by extracting essential elements such as the model name — choose from 'buildings', 'cars', 'ships', 'solar-panels', 'parking-lots', 'agriculture', or 'grounded-sam'. Accurately specify the input raster path and, if using GroundedSAM, provide the necessary text prompt for segmentation.
• Model Mapping: Each model corresponds to a GeoAI class, such as the 'geoai.BuildingFootprintExtractor' for buildings or 'geoai.CarDetector' for cars, ensuring each task is handled by the most suitable model.
• Step 2 — Check GPU Availability: Optimize your workflow by identifying GPU resources. If GPU is unavailable, operations will proceed in CPU mode, albeit with possible performance limitations.

Use Cases

• Urban Planning: Effortlessly detect building footprints to aid in city development and resource planning.
• Fleet Management: Quickly pinpoint car locations for logistics and transportation services, enhancing efficiency in operation management.
• Renewable Energy Assessment: Identify solar panel deployments to analyze and optimize energy grid contributions.
• Agricultural Monitoring: Utilize detailed agriculture field delineation to improve crop management and yield predictions.

Technical Details

• Integration Compatibility: Optimized for AI coding agents such as Claude Code, Cursor, and Codex for seamless implementation.
• Required Performance Tools: Leverages claude-skills, aiapplication, and detect-objects tools to ensure high-precision detections.
• Output Specifications: The skill outputs a vector file (default: './ _detections.gpkg'), suitable for detailed analysis and reporting.
• Hardware Requirements: For best performance, ensure GPU availability, but can also function in CPU mode if necessary.

Embark on a journey through advanced geospatial analysis with our AI Geospatial Imagery Detection skill. Experience unparalleled accuracy in object detection and transform how you interact with geospatial data.

Source & Licence

This package is built on open-source work published by opengeos (opengeos/geoai-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.