Creating a mosaic dataset with multiple Landsat sensor types for forest monitoring

[GideonTandoh]

I am trying to create a mosaic dataset that I can later add multidimensional information to for forest monitoring. However, I am facing challenges creating the mosaic datasets because the Landsat images I am using have different sensor types, including Landsat TM, ETM+, OLI, and OLI_TIRS. I have tried creating a mosaic dataset for individual Landsat sensors using surface reflectance as the processing template while ensuring that "calculate statistics," "update overviews," and "estimate mosaic dataset statistics" are all checked. Despite this, I keep getting the error: "Error: 8004818c: No new mosaic dataset item was added."

Interestingly, when I repeated the above steps leaving the Raster Type as "Raster Dataset" (without selecting any specific sensor type), it worked. I am using ArcGIS Pro version 3.2.2 for this analysis.

My question is, how can I create a single mosaic dataset that includes multiple Landsat sensor types while focusing only on surface reflectance as the processing template?

I would greatly appreciate any assistance or insights regarding this issue. Thank you in advance for your help!

[CodyBenkelman · Accepted solution]

Gideon

It sounds like you have not found our best practice advice for imagery  at https://esriurl.com/ImageryWorkflows.  You definitely should not use the Raster Dataset raster type - that will fail to include important metadata to properly configure the mosaic dataset for Landsat imagery.

See the notes here https://doc.arcgis.com/en/imagery/workflows/resources/managing-medium-resolution-satellite-data.htm and specifically the recommended  sample Python scripts for managing Landsat 8 scenes .

Cody B.