Raster graphics and images contain data that can be difficult to extract and make sense of. Whether it’s metadata describing where a photo was taken, or band information that distinguishes land use type, FME can help you dig deeper into your raster data.

Integrating raster data with other data sources can provide you with a single cohesive view of all your collected information to aid your raster analysis efforts. Once integrated, convert your data into formats that can be easily shared and distributed with those who need it. FME is your one stop shop for all your raster needs.

Learn More About FME

Why FME for Raster & Aerial Imagery?

Integrate Raster Data With Various Formats

From point clouds to Excel, FME can help you fuse your raster graphics with other related data to fully understand the big picture in the most detailed way possible. Who knows what kind of discoveries you’ll unlock!

Resample and Simplify Your Data

Raster data can contain a lot of information. In many cases, it contains more information than you may need. Create custom workflows that resample your raster data to create the optimal dataset for processing and analysis.

Perform Raster Calculations

Process your raster images using a kernel matrix or by performing raster band calculations to detect and emphasize areas of importance. Use transformers like the RasterConvolver or NDVICalculator for straight-forward raster analysis.

Customize Raster Data Transformations

With FME you have a variety of tools to choose from when it comes to customizing your raster data. From combining multiple rasters, to separating bands, to calculating raster statistics, FME can help ensure all your data is on the same wavelength.

Distribute Raster Data Online

Share your final raster data and imagery online with clients or colleagues via a web service using FME Server. This allows users to get the specific data they need whenever they need it - no small talk necessary!

Free Support!

No matter where you are in your FME journey, we are here to help! Visit the FME Community to discuss your data journey with other FME users and our experts, or reach out to us via Live Chat for further assistance.

Supported Raster Formats


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FME for Raster Conversions

Raster data collected from remote sensing devices like satellites often contain an extensive amount of information at a very high resolution. While this makes raster datasets a treasure trove of knowledge, processing the raw data often requires extensive computing power. With FME, you can convert your raster data into manageable portions to make integrating your data with your preferred applications simple.

Convert rasters to vectors (or vice versa!) by building custom workflows that transform your data exactly for your needs. Choose exactly what attributes to extract, or simply clip your raster to size using vector polygons. And don’t forget to reproject your data to the correct coordinate system before you finish. Not using vectors? Don’t worry. The same can be done with other spatial formats like point clouds, too!

Tutorial: Getting Started With Rasters

FME for Satellite Imagery

Viewing and making use of images of the Earth’s surface captured by satellites and UAV’s is becoming easier and more convenient. Aerial imagery is excellent both for interpreting large spatial patterns and for extracting extremely detailed information in precise locations. Imagery vendors like Planet and DigitalGlobe capture raster data at resolutions less than 1m. It’s no wonder why FME users are integrating satellite imagery!

Read satellite imagery directly in FME with AWS readers like Landsat-8 and Sentinel-2 or set up a workflow to automatically retrieve imagery from the source of your choice using FME Server. Transform your images by selecting bands of interest or performing raster calculations using any of the raster transformers.

The GeoGeek’s Guide to Satellite Imagery

FME for Satellite Imagery

FME for Surface Modelling

Digital elevation models (DEM) are 3D representations of surface terrain. To present more than just the geometric configuration of the Earth’s surface, aerial images can be used to add realistic textures and colours. With FME, draping images on DEM’s is a breeze!

Alternatively, convert your DEM to create a raster to aid in other spatial analysis efforts. Raster images can also be used to create contour maps and to colourize point cloud data.

3D Visualization With Blender and FME

FME for Surface Modelling

FME for Videos and Presentations

When you work with rasters, it’s inevitable that at some point you’re going to be asked to present your findings. Raster data is just too captivating - it needs to be shared! With FME you can combine your raster data to create videos or powerpoint slides that help you tell your story.

Set each raster image as an individual frame within a video to show change over time, or display images on a map using transformers like the MapnikRasterizer. Alternatively, use the PowerPointStyler to input content, imagery, charts, and maps related to your raster data into a powerpoint presentation.

Learn More About FME for Video Processing

  • "We essentially had a data decoding nightmare, and a volume of content that had never been seen on a global scale like this. FME was the solution."

    Taylor Nicholls, exactEarth
  • "Using FME to create a visualization of patients’ vision has been helpful in not only allowing us to see changes over time, but also in explaining to patients what the test results are."

    Jasleen Kaur Jolly, Oxford Eye Hospital
  • "FME fills a void I didn’t even know existed before. The way it makes the incompatible compatible is phenomenal. Though it’s in the background, what a difference it makes in the job that it does!"

    Dennis O’Connor, KDOT Aviation
  • "We have 8,000 employees based in 30 countries, and supporting all of that there are 4 people on the GIS team. So FME and automation is a really important thing for us."

    Joanna Hobbins, CAE
  • "Our motto is that working should be fun… at least as often as possible. And with FME it often is!"

    Hannu-Pekka Rantaniemi, Spatialworld

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