Reclasify Deep learning model results (Land Cover Classification (Sentinel-2)).

[Habal]

I need to be help regarding the use of a Deep Learning model developed by ESRI for Land Cover Classification (Sentinel2).

Following the procedure dedicated to land cover classification with Sentinel (link:  https://www.arcgis.com/home/item.html?id=afd124844ba84da69c2c533d4af10a58 ), the ESRI-developed learning model worked very well.

However, the model used generates a classification into 15 classes. In my case, I would like to synthesize these classes into only 5 classes. The described procedure does not mention how to reduce the number of classes. I have tried various tools available in ArcGIS Pro, but to no avail. Therefore, I would appreciate your guidance on this matter.

NB: In the classification tool, none of the tools work.

[JayChen · Accepted solution]

Hi Habal,

There are probably different ways to do this. One option is the remap tool in ArcGIS Pro, which can let you reclassify the pixel values from 15 to 5 by mapping a range of values to a new value.

https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/remap-function.htm#:~:text=T....

Hope this helps,

-Jay

[Habal]

Hi JayChen,

Thank you for your reply, after following your instructions, the manipulation worked.

Habal