Use the model

You can use the Wildfire And Smoke Classification pretrained model with the Classify Objects Using Deep Learning tool available in the Image Analyst toolbox in ArcGIS Pro.

Recommended imagery configuration

The recommended imagery configuration is as follows:

• Resolution—The expected image resolution is high-resolution imagery from either drones or ground-based camera systems.
• Imagery—8 bit, three-band (RGB) image.

Classify Wildfire And Smoke

Complete the following steps to classify wildfire and smoke from the imagery:

1. Download the Wildfire And Smoke Classification model.
2. Click Add data to add an image to the Contents pane.

   

   You'll run the prediction on this image.

3. Click the Analysis tab and browse to Tools.

   

4. In the Geoprocessing pane, click Toolboxes, expand Image Analyst Tools, and select the Classify Objects Using Deep Learning tool under Deep Learning.

   

   The Classify Objects Using Deep Learning tool dialog box appears.

5. On the Parameters tab, set the parameters as follows:
   1. Input Raster—Choose an input image from the drop-down menu or from a folder location.
   2. Output Classified Objects Feature Class—Set the output feature class.
   3. Model Definition—Select the pretrained or fine-tuned model .dlpk file.
   4. Arguments (optional)—Change the values of the arguments if required.

      

6. On the Environments tab, set the environments as follows:
   1. Processing Extent—Select the default extent or another option from the drop-down menu.
   2. Processor Type—Select CPU or GPU.

      It is recommended that you select GPU if available, and set GPU ID to the GPU to be used.

      

7. Click Run.

   The output layer is added to the map.

8. Right-click the output feature layer in the Contents pane and click Attribute Table.

   The Label column of the attribute table contains the predicted fire or nofire class shown in the image.