Beyond Basics: How to Build Scalable, Intelligent Imagery Pipelines

You’ve started working with imagery in FME – now it’s time to take things further.

In this follow-up to Part 1, we’ll show you how to turn imagery workflows into scalable, production-ready pipelines. You’ll see exactly how to analyze change over time, estimate yield from NDVI, and combine raster, vector, and AI tools in one seamless process.

But this webinar isn’t just about what’s possible in FME, it’s about how to get the most out of it. We’ll share the tips, tricks, and trade-offs that experienced users rely on to keep performance high and workflows efficient, even with large or complex datasets.

Whether you’re struggling with memory issues, projection mismatches, or you’re just not sure when to convert rasters to vectors, we’ve got you covered.

Join us to learn how to:

• Build an advanced imagery pipeline from start to finish
• Use AI, NDVI, and temporal analysis to extract deeper insights
• Avoid common pitfalls like memory bloat and mismatched resolutions
• Know when (and when not) to convert between raster and vector
• Unlock smarter performance with pre-processing, tiling, and automation

This webinar is your opportunity to explore advanced techniques, avoid common inefficiencies, and get more value out of FME’s powerful imagery capabilities.