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Top 20 Essential Skills for Imagery and Remote Sensing
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03 March 2026

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.
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems, COMPUTERS / Image Processing, SCIENCE / Earth Sciences / Geography, Geographical information systems, geodata and remote sensing, Image processing, Geography
- Understanding imagery and remote sensing
- Visualizing imagery
- Working with raster functions
- Creating a mosaic dataset
- Performing radiometric calibration
- Georeferencing imagery
- Creating photogrammetric products
- Performing advanced visual analysis
- Exploring image charts for analysis
- Working with geospatial video
- Performing change detection
- Performing multispectral classification
- Using deep learning for object detection and classification
- Visualizing and analyzing scientific multidimensional raster data
- Exploring hyperspectral imagery and spectral analysis
- Analyzing synthetic aperture radar
- Working with image services and online archives
- Sharing imagery from ArcGIS Pro
- Performing image analysis using ArcGIS Online
- Using your imagery skills in a decision support workflow