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Posted on December 27, 2022 (Updated on July 21, 2025)

Adjusting Spatial Accuracy of Ortho Imagery in ArcGIS Desktop?

Hiking & Activities

Getting Your Orthoimagery Straight in ArcGIS Desktop: A Human’s Guide

Orthoimagery: it’s the bedrock of so much GIS work. Think of it as a map made from a photo, but one where everything’s been painstakingly corrected to be geometrically accurate. This accuracy is what makes it so valuable for analysis, measurement, and, well, making smart decisions based on location. ArcGIS Desktop has long been the go-to for tweaking and tuning orthoimagery, but heads up: it’s riding off into the sunset in early 2026. Time to start thinking about ArcGIS Pro!

So, what exactly is orthoimagery? It’s basically a picture of the Earth that’s been put through a wringer – a process called orthorectification. This process gets rid of all those annoying distortions caused by the camera’s angle, the bumps and dips of the terrain, and even the quirks of the camera lens itself. The result? An image where everything is at a consistent scale, meaning you can trust your measurements. But let’s be real, the accuracy of your orthoimagery is only as good as the data that goes into it. We’re talking about the quality of the camera, the accuracy of your terrain model (usually a DEM), and how precise your sensor data is. Garbage in, garbage out, right?

Now, let’s dive into how you can actually improve that accuracy using ArcGIS Desktop. You’ve got a few tricks up your sleeve:

  • Georeferencing: The “Eyeball It” Method (But Done Right): Think of this as aligning your image to a known map. You pick out landmarks – road intersections, building corners, anything you can clearly see in both your image and a reliable reference map – and tell ArcGIS, “This point here in my image is actually this point over there on the map.”

    • How it works: Drag your orthoimagery into ArcMap. Fire up the Georeferencing toolbar and start adding those control points. You’re essentially creating links between your image and the real world. Then, you choose a transformation method. Simple tweaks? Go with Affine. Got some serious warping to do? Rubbersheet or Spline might be your friends. Keep an eye on that RMS error – it’s your report card, telling you how well your transformation worked. Finally, save those georeferencing settings, and bam, your image is (hopefully) a lot more accurate.
  • Orthorectification: Doing it by the Book: If your imagery hasn’t been orthorectified yet, this is where you make it happen. This process uses a DEM and sensor information to correct geometric distortions.

    • How it works: Add your raster dataset with RPCs (think of these as the camera’s “fingerprint”) to ArcMap. In the layer properties, tell ArcGIS to orthorectify using elevation data. Now, this is important: use a good DEM. A low-resolution DEM is going to give you low-resolution results, especially in hilly areas.
  • Bundle Block Adjustment: The Heavy Artillery: This is where things get serious. We’re talking full-on photogrammetry here. This technique takes a whole bunch of overlapping images and, using tie points (common features in those overlapping images) and ground control points (super-accurate surveyed points), it simultaneously refines the image orientation and geometric parameters. It’s like solving a giant puzzle with a ton of pieces.

    • How it works: Create a mosaic dataset of your images. Find and measure those tie points (ArcGIS can help with this). Import your GCPs. Then, run the bundle block adjustment tool. This tool crunches the numbers to minimize errors. Use check points (similar to GCPs) to see how well the adjustment worked.
  • Spatial Adjustment Tools: Fine-Tuning the Edges: Sometimes, you just need to nudge things into place. The Spatial Adjustment toolbar in ArcMap lets you do just that with edgematching, rubbersheeting, and transformations based on displacement links (think of these as “before and after” points).

    • How it works: Add the Spatial Adjustment toolbar. Create displacement links to show ArcGIS how you want to move things. Choose your adjustment method (Edge Snap, Rubbersheet, or Transform). Adjust the data and preview the results before committing.
  • A Few Pro Tips to Keep in Mind:

    • GCPs are Gold: Your ground control points are your best friends. The more accurate and well-distributed they are, the better your results will be.
    • DEMs Matter: Don’t skimp on the DEM. A high-resolution DEM is worth its weight in gold, especially in areas with complex terrain.
    • Overlap is Your Buddy: When it comes to bundle block adjustment, overlap is key. More overlap means better results.
    • Transformation Choices: Choose the right transformation method for the job. Don’t use a sledgehammer to crack a nut.
    • Calibrate, Calibrate, Calibrate: Calibrating your camera during block adjustment can work wonders.

    Did it Work? Time to Check!

    Once you’ve adjusted your orthoimagery, don’t just assume it’s perfect. Check it! Compare it to independent check points or higher-accuracy data. The Positional Accuracy Assessment web app can be a lifesaver here.

    The Bottom Line

    Getting your orthoimagery spatially accurate in ArcGIS Desktop can involve anything from a quick georeference to a full-blown photogrammetric adjustment. The key is to choose the right tools, use good data, and always, always check your results. And remember, Desktop is on its way out, so start exploring the ortho mapping capabilities of ArcGIS Pro. Happy mapping!

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