Image Analysis in ArcGIS Pro

Strictly by pre-registration only

What is this course about?

Learn best practices and workflows to enhance visualisation and extract meaningful information from satellite imagery, unmanned aerial vehicle (UAV)-collected data, and other remotely sensed data. This course covers dynamic raster processing options available in ArcGIS and takes you on an in-depth exploration of image classification. You will use three classification methods to categorise land cover features and learn how to determine which method is appropriate for a given project and dataset.

This course is for: GIS professionals and imagery analysts in the private sector and civilian government agencies who need to perform visualisation and analysis of images.

Download course outline

Course details






2 days




ArcGIS Pro Workflows

Are there any prerequisites?

Completion of ArcGIS Pro: Essential Workflows or Migrating from ArcMap to ArcGIS Pro or equivalent knowledge.

What skills will I learn?

After completing this course, you will be able to: 

  • Apply dynamic raster functions to enhance imagery display and perform change detection. 
  • Perform image classification and assess the accuracy of results. 
  • Post-process classified thematic rasters to support analysis needs. 
  • Work with derived information products including digital elevation models.

What can I expect?

  • Course topics

    Raster functions

    • Manipulating raster data
    • What are raster functions?
    • Benefits of raster functions
    • Consider raster function parameters
    • Types of raster functions

    Raster function templates

    • What are raster function templates?
    • Raster function template components
    • Evaluate a raster function template

    Raster-based change detection

    • Change detection types
    • Choosing types of change detection
    • Raster-based change detection workflow
    • Preprocessing methods for change detection

    Change detection for operations

    • Defining image classification
    • Describing image classification outputs
    • Image classification types
    • Image classification methods
    • Choosing image classification techniques

    Classification workflows

    • Unsupervised image classification workflow
    • Supervised image classification workflow
    • Classifying a raster with the Image Classification Wizard


    • What is segmentation?
    • Segmentation parameters
    • Segmentation parameter exploration

    Training the classifier

    • Training sample considerations
    • Types of image classification algorithms

    Classification evaluation

    • Pixel Editor functionality
    • Compare Pixel Editor operations
    • Postprocessing classification results
    • Accuracy assessment workflow
    • Accuracy assessment statistics

    Image analysis with deep learning

    • What is deep learning?
    • Deep learning tasks for image analysis Model Inferencing in ArcGIS Pro
    • The deep learning analysis workflow

Subscribe to
Esri Singapore news