Summary This article provides a central overview of how to work with Ground Control Points (GCPs) in SDX-Cloud. It links to individual guides that explain the concept of GCPs, how to configure them in projects, and how to use them during dataset imports.
Introduction
Ground Control Points (GCPs) are critical for improving the spatial accuracy of drone-based photogrammetry. In SDX-Cloud, you can define and use GCPs to anchor your datasets to real-world coordinates — essential for high-precision outputs, alignment across flights, and reliable comparisons.
This article connects the three key topics related to GCPs:
- Understanding what GCPs are and why they matter
- Setting up GCPs in a project
- Using GCPs during manual dataset import
1\. Learn the Basics: What Are GCPs?
Before using GCPs in SDX-Cloud, it’s important to understand their purpose, how to place them correctly, and what formats and dimensions are required for detection.
2\. Configure GCPs in Your Project
SDX-Cloud allows you to upload a GCP CSV file with each project. This article explains:
- File requirements and format
- How to upload or replace GCPs
- Key guidelines for setup and maintenance
3\. Use GCPs During Dataset Import
When uploading a new snapshot (e.g., drone images), GCPs can be included to improve photogrammetry output. This guide walks through:
- Enabling GCPs during import
- Uploading your GCP file
- Troubleshooting detection issues
Common Tips for GCP Use
- Use at least 3 GCPs, each visible in 3+ images.
- Measure GCP size precisely — don’t guess.
- Avoid glare, shadows, or occlusions in imagery.
- Reuse GCPs across flights for consistent alignment.
\\Available translations\\: en-us
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