Imagery Analysis in ArcGIS Pro Class Resources [1]

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General: 

What’s New for Spatial Analyst and Raster Analysis in ArcGIS Pro 2.5

Lesson 1:  Rasters in ArcGIS Pro

• What is Remote Sensing?  
  • Video: NASA – Getting the big picture
  • The ArcGIS Imagery Book, by Clint Brown and Christian Harder, Chapter 2: The Nature of Remote Sensing
• Rasters in ArcGIS Pro:  
  • Help topic: Essential Esri imagery and raster terms This Help topic provides definitions of various raster terms, including nice definitions of Raster Dataset and Mosaic Dataset.
  • Chapter 5: Working with Imagery of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
  • Help topic: Overview of image management This help topic and the ones following describe essential image management techniques that are crucial to successful image analysis.
  • Web Course: Managing Raster Data Using ArcGIS  This web course provides more background about mosaic datasets.
• Raster Resolution:
  • Help topic: Types of imagery data used in the Image Analyst extension This help topic provides a good introduction to Spatial, Spectral and Temporal resolution of imagery, and  the various types of imagery
  • Chapter 3: Imagery Fundamentals of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
    • Spectral Resolution: p. 51-54
    • Radiometric Resolution: p. 54-55
    • Spatial Resolution: p. 55-57
    • Viewing Angle: p. 57-61
  • The electromagnetic Spectrum:
    • The ArcGIS Imagery Book, by Clint Brown and Christian Harder, Chapter 4: Perceiving the Imperceptible
    • Chapter 3: Imagery Fundamentals of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
      • The Electromagnetic spectrum: p. 31-32
    • Band Combinations:
      • Technical Article: Multispectral Imagery in Action This article provides many different examples of how spectral band combinations can be used to highlight different features or phenomena in imagery.
      • ArcGIS Blog: Band Combinations for Landsat 8
      • Help topic: Indices gallery

Lesson 2:  Raster Functions in ArcGIS Pro

• What are Raster Functions?
  • Web Course: Processing Raster Data Using ArcGIS Pro This web course teaches on-the-fly processing of rasters and imagery using raster functions and raster function chains.
• Raster Functions and Geoprocessing tools:
  • Video: Raster Processing Using Functions & Geoprocessing tools
• Types of Raster functions
  • Help topic: Raster Functions This help topic explains what raster functions are and defines local, global and custom functions.
• Using Raster Functions
  • Help topic: Raster Functions pane This help topic provides guidance on finding and using raster functions,
  • Help topic: Raster Function History This help topic may be helpful for troubleshooting during the exercise
  • Help topic: List of Raster Functions  This help topic provides descriptions of each of the system raster functions.

Lesson 3:  Raster Function Templates

• What are Raster Function templates?
  • Video: ArcGIS Pro: Raster Functions  This video provides a  5-min introductory demo about raster functions, and raster function chains
• Raster Function template components
  • Help topic: Raster function template This help topic provides a step by step description of how to create a raster function template.
  • Training Seminar: Dynamic Image Processing in ArcGIS Pro This training seminar introduces the learners to using raster functions and raster function chains for vegetation indices, mathematical operations, radiometric corrections and for applying other image processing algorithms.
  • Help topic: Custom Raster Functions This help topic introduces the user to creating their own raster function templates in Python
• Sharing Raster Function Templates:
  • Help topic: Raster analysis in Portal for ArcGIS This help topic talks about how to set up ArcGIS Pro to perform raster analysis in a portal and how to use raster functions with raster analysis in the portal.
  • Help topic: Configuring an image service This help topic explains how to publish and configure an image service. The Processing templates row in the table talks about adding a raster function template at the time of publishing.
• Raster Functions in Raster products
  • Help topic: Raster Products and raster types This Help topic provides background about Raster Products and contrasts them with Raster Types, which might help with any confusion between the two terms.
• Raster functions in Geoprocessing tools
  • Help topic: Generate Raster From Raster Function (Data Management) This geoprocessing tool generates a raster dataset from an input raster function or function chain.

Lesson 4:  Change detection using raster functions

• Types of Change Detection
  • Chapter 11: Change Analysis of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
  • Web Course: Change Detection Using Imagery This web course provides examples of change detection workflows starting out with visual change detection and then going into quantifying change using different band combinations and indices.
• Change detection workflow:
  • Video: Chapter 20 Change Detection Using Landsat Imagery This video demonstrates change detection using raster functions
  • ArcGIS Blog: The Art and Science of Imagery Change Detection Slightly older article, but still useful for providing background and examples.
• Preprocessing rasters for change detection
  • Help topic: Resample function The Resample function changes the raster pixel size using different resampling methods.
  • Help topic: Extract Band function The Extract band function allows to extract or reorder one or more bands from a multiband dataset.
  • Help topic: Clip function
  • Help topic: Apparent reflectance function
  • Help topic: Indices gallery

Lesson 5:  Image classification techniques

• Defining image classification
  • Web Course: Introduction to Image Classification This course introduces options for creating thematic classified rasters in ArcGIS.
• Describing image classification outputs
  • The ArcGIS Imagery Book, by Clint Brown and Christian Harder, Chapter 5: Turning Imagery into Information
• Image Classification types and methods
  • Help topic: Overview of image classification  This help topic provides concise descriptions of commonly used image classification terms and tools, and discusses supervised vs. unsupervised classification and the object-based vs pixel-based approaches.
  • GISGeography Article: Image Classification Techniques in Remote Sensing This article provides a discussion of different image classification techniques, as well as some background on the timeline of when they were developed.
  • USGS website: National Land Cover Database This website provides an overview and description of the National Land Cover Database (NLCD) and their landcover categories.
  • Video: Intro to Image Segmentation, Classification and Machine Learning
  • Help topic: List of ArcGIS Image Analyst extension raster functions This help topic provides a starting point for studying the Classification functions, especially Classify.
  • Chapter 10: Image Classification of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
    • Semiautomated Image Classification: p. 275-276

Lesson 6:  Classification workflows

• Image classification workflows
  • Learn lesson: Calculate Impervious Surfaces from Spectral Imagery
  • Video: Image Classification Demo Image Classification Demo from Imagery Webinar held by Esri Industries
  • Help topic: Complete List of ArcGIS Image Analyst extension geoprocessing tools This help topic provides a starting point for studying the Segmentation and Classification geoprocessing tools.
• Classifying a raster with the Image classification wizard
  • Help topic: The Image Classification Wizard This help topic provides an overview of the Image Classification wizard

Lesson 7:  Segmentation

• Help topic: Understanding segmentation and classification This is the main help topic to study to understand segmentation. It also includes references to the related scientific publications used for implementing the segment mean shift algorithm.
• Help topic: Segmentation This Help topic provides an explanation of the different parameters in the segment mean shift tool
• Blog Post: Pass the classification but hold the salt and pepper This article provides a discussion of how to optimize the segmentation parameters for classification.
• Technical Workshop presentation: Image Segmentation and Classification
• Technical Workshop presentation: Image Segmentation, Classification, and Machine Learning
• Science Direct: Object based image analysis for remote sensing by T. Blaschke This article provides a scientific background for the object-based classification approach.
• Chapter 10: Image Classification of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
  • Image Segmentation: p. 278-279

Lesson 8:  Training the Classifier

• Help topic: The Train ISO Cluster Classifier This help topic provides a discussion of the Train ISO Cluster Classifier geoprocessing tool and its parameters.
• Help topic: The Train Maximum Likelihood Classifier This help topic provides a discussion of the Train Maximum Likelihood Classifier geoprocessing tool and its parameters.
• Help topic: The Train Random Trees Classifier This help topic provides a discussion of the Train Random Trees geoprocessing tool and its parameters.
• Help topic: The Train Support Vector Machine classifier This help topic provides a discussion of the Train Support Vector Machine geoprocessing tool and its parameters.
• ArcGIS Blog: Raster Image Processing Tips and Tricks — Part 4: Image Classification This blog article provides practical tips for approaching image classification.
• ArcGIS Blog: Spectral Profiles: Improve Classification Before you click Run. This article provides background information about using ArcGIS Pro charting functionality to create spectral profiles of the training samples, to check and ultimately improve the quality of the training samples. Although not directly part of the class, this is useful background information.
• Chapter 10: Image Classification of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
  • Classification algorithms: p. 279-289
  • Giuidelines for training samples: p 290

Lesson 9:  Classification evaluation

• Help topic: Pixel Editor in ArcGIS Pro This help topic gives you a broad overview of pixel editor functionality.
• Help topic: Editing thematic and classified pixels This is the help topic used in the activity. It describes the specific pixel editor operations
• Help topic: Accuracy Assessment This help topic describes the accuracy assessment workflow and helps understanding the results. 
• Help topic: Create Accuracy Assessment Points This help topic describes the parameters of the Create Accuracy Assessment Points tool used in the exercise.
• Help topic:Update Accuracy Assessment Points This help topic describes the Update Accuracy Assessment Points tool, in case students ask if they can use their own accuracy assessment points.
• Help topic: Compute Confusion Matrix This help topic describes the parameters of the Compute Confusion Matrix tool used in the exercise.
• Chapter 12: Accuracy Assessment of Imagery and GIS – Best Practices for Extracting Information from Imagery by Kass Green, Russel G. Congalton, and Mark Tukman
• Article: Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD)
• Article: National Park Service: Thematic Accuracy Assessment Procedures