Sierra Nevada Creek Photogrammetry Datasets - 350ft - Mavic 3 Multispectral

Golf Course Photogrammetry Dataset – Mavic 3 Multispectral & Visual – 350ft AGL

Elevate your course planning, landscape management, and environmental analysis with our Golf Course Photogrammetry Dataset, precisely captured using the DJI Mavic 3 Multispectral and Visual drone. At 350 feet above ground level (AGL) and employing an 80/80 overlap grid, this dataset provides you with both high-resolution visual images and valuable multispectral data—perfect for golf course architects, landscapers, and sustainability consultants.

Key Dataset Highlights

• Altitude & Overlap: Captured at 350ft AGL with an 80/80 overlap, ensuring comprehensive coverage and high-fidelity imaging.
• Drone Technology: Leveraging the Mavic 3 Multispectral and Visual system for advanced imaging capabilities and precise data capture.
• Extensive Image Count: Includes a total of 471 photographs, delivering detailed coverage of the golf course landscape.
• Multispectral Insights: Rich data layers ideal for assessing vegetation health, irrigation needs, and environmental impact, aiding in proactive land management.

What’s Included

1. High-Resolution Visual Images

   • Detailed terrain imagery perfect for course layout planning, topographic evaluations, and design proposals.

2. Multispectral Data

   • Invaluable for analyzing vegetation indices, water distribution, and overall site health to support sustainable management practices.

3. Ready-to-Download Files

   • Instantly accessible .Zip download (approximately 3.4GB), provided immediately after purchase for quick project integration. Download the file, open the link, and download via Google Drive. 

Why Choose Our Dataset?

• Time & Cost Efficiency: Save resources by accessing ready-to-use aerial data instead of commissioning new flights.
• Precision & Accuracy: Benefit from uniform coverage and high-resolution imaging that supports exact measurements and analysis.
• Sustainability Focus: Leverage multispectral data for informed decisions about course health, resource allocation, and environmental stewardship.