You're combining remote sensing data in GIS analysis. How can you ensure data integrity and quality control?

Combining remote sensing data for GIS analysis requires meticulous quality control to maintain data integrity. Here are strategies to keep your data clean and reliable:

- Validate source accuracy by cross-referencing with authoritative databases or using ground-truthing techniques.

- Employ consistent data cleaning protocols, such as removing duplicates and correcting errors, to ensure uniformity.

- Implement version control systems to track changes and maintain an audit trail for transparency and reproducibility.

How do you maintain the integrity of your GIS data? Share your strategies.