Top 20 Essential Skills for Imagery and Remote Sensing

by Thomas Humber, Jeff Liedtke, Richard Cooke (Foreword by)

Overview

Gain the essential imagery skills you need for data preparation, data exploration, and advanced imagery analysis workflows.

Top 20 Essential Skills for Imagery and Remote Sensing guides readers step—by—step through the essential techniques needed to visualize, process, analyze, and manage imagery and raster products. In just a few clicks, you’ll learn the skills necessary to interpret imagery, create imagery products, and perform various imagery analysis workflows.

These concise chapters are designed for quick learning, with each chapter taking about 45 minutes to complete. Clear, easy—to—follow tutorials with practical examples consisting of instructions and screenshots make Top 20 Essential Skills for Imagery and Remote Sensing an approachable resource for users of all skill levels.

 

By the end of this book, you’ll be proficient in:

• Enhancing imagery, managing image collections, and performing advanced analyses
• Using the ArcGIS Image Analyst extension for advanced image processing
• Applying real—world skills to support decision—making and solve complex problems

Top 20 Essential Skills for Imagery and Remote Sensing is ideal for GIS professionals who want to deepen their understanding of imagery, as well as students eager to learn about remote sensing.

Empower yourself to use imagery and raster data effectively in your GIS projects with this comprehensive resource.

Product Details

ISBN-13:	9781589488212
Publisher:	Esri Press
Publication date:	03/03/2026
Series:	Top 20 Essential Skills
Pages:	330
Product dimensions:	7.50(w) x 9.25(h) x 0.50(d)

About the Author

Thomas Humber is a principal technical lead with the Training Services team at Esri. He focuses on imagery and remote sensing technologies. He is an integral part of the staff overseeing Esri’s imagery curriculum and brings more than 30 years of practical experience using, interpreting, and analyzing remote sensing imagery of various types and modalities.

Jeff Liedtke is a principal product engineer and documentation lead with the Raster team at Esri. He has advanced degrees and 30 years of experience in applied remote sensing, photogrammetry, and image processing

Richard is Director of Global Business Development. He works with customers across government and private enterprise to deliver value and improve business and policy outcomes through the application of GIS technology. Richard has more than 30 years of experience in the fields of computer vision, remote sensing, and geospatial and location analytics. Prior to joining Esri in 2018, Richard served as president and chairman of Visual Information Solutions. He earned a master’s degree in business administration from the University of Texas at Arlington and completed an executive education program at Wharton Business School.

Table of Contents

1. Understanding ArcGIS imagery terminology and data model

2. Visualizing imagery

3. Working with Raster Functions

4. The mosaic dataset data model

5. Preparing data: Radiometric Calibration

6. Preparing data: Geometric Correction

7. Performing Orthocorrection

8. Visual image information

9. Exploring image charts for analysis

10. Create and apply Raster Function Templates for analysis

11. Performing Change Detection

12. Deriving information from imagery: Classification workflows

13. Using Deep Learning in ArcGIS Image for ArcGIS Online

14. Performing Scientific Analysis with multidimensional rasters

15. Working with multiband imagery

16. Working with Synthetic Aperture Radar

17. Image Services

18. Sharing to AGOL

19. Performing Image Analysis using ArcGIS Online

20. Decision Support workflow