Best ArcGIS Pro workflow to batch export GeoTIFF tiles from a MrSID using a tile index footprint

[Frank_SA]

I inherited an aerial imagery deliverable workflow and I’m starting from scratch with limited documentation. I am not really sure how to tackle this as I have not worked with imagery/raster data in my daily work.

I have a single MrSID for our 2025 aerial imagery and I need to produce a folder of georeferenced GeoTIFF tiles for engineers to use in MicroStation.

We have a tile footprint / tile index polygon layer from a previous year that represents the exact tile layout we want (each polygon = one output tile). The footprint has a Name field like:

22_OC_R042_C028

The row/column portion (R### / C###) is the layout we want to keep; the year prefix just needs to reflect 2025.

What is the recommended ArcGIS Pro workflow to:

1. Use an existing tile footprint (polygon tile index) to clip a single MrSID into many GeoTIFFs (one per polygon), preserving georeferencing?

2. Control output naming so each tile writes to its own GeoTIFF file based on an attribute value (for example Name, or a derived field)?

If there are specific ArcGIS Pro tools or a known-good ModelBuilder/Python pattern for this, I’d appreciate guidance.

Or please let me know if I am I totally off base and what I am asking for is not workflow we can do with the MrSid File that was delivered.

We are on ArcPro 3.2

Thanks.

[DanielFox1]

Hi @Frank_SA 

If you haven't come up with a solution yet, you could use either Model Builder or Python 

Model Builder
1. Prepare your tile index, ensure your polygon has a clean name field and then create a new field fro 2025 naming.
Something like: "25_OC_"+!Name!.split("_",2)[2]

2. You will need to add the iterate feature selection iterator, input your tile index, iteration is each polygon

3. Clip Raster
Input: .sid
Output Extent: Input feature
Clipping geometry: Checked
Maintain Clipping geometry: checked

4. Dynamic output naming
<output folder>\%TileName_2025%.tif - this is an example it would need to be tailored to your data

5. Environment Settings

Snap Raster: your MrSID
Cell Size: Same as input
Resampling: NEAREST (for imagery workflows)
Output format: TIFF
Compression: LZW or JPEG (depends on requirements)

I hope this helps in some way