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Top 20 Essential Skills for Imagery and Remote Sensing - Thomas Humber, Jeff Liedtke

Top 20 Essential Skills for Imagery and Remote Sensing

Buch | Hardcover
250 Seiten
2026
ESRI Press (Verlag)
978-1-58948-873-1 (ISBN)
CHF 159,95 inkl. MwSt
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Top 20 Essential Skills for Imagery and Remote Sensingguides readers step-by-step through interpreting imagery, creating imagery products, and performing various imagery analysis workflows.
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.

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.

Understanding
ArcGIS imagery terminology and data model


Visualizing
imagery


Working with Raster Functions


The
mosaic dataset data model


Preparing data:  Radiometric Calibration


Preparing data:  Geometric Correction


Performing Orthocorrection


Visual image information


Exploring image charts for analysis


Create and apply Raster Function
Templates for analysis


Performing Change Detection


Deriving information from imagery:
Classification workflows


Using Deep Learning in ArcGIS Image for ArcGIS Online


Performing Scientific Analysis with multidimensional rasters


Working
with multiband imagery


Working with Synthetic Aperture
Radar


Image Services


Sharing
to AGOL


Performing Image Analysis using ArcGIS Online


Decision
Support workflow

Erscheint lt. Verlag 16.4.2026
Vorwort Richard Cooke
Zusatzinfo Screenshots and maps
Verlagsort Redlands
Sprache englisch
Maße 190 x 234 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Naturwissenschaften Geowissenschaften Geografie / Kartografie
ISBN-10 1-58948-873-3 / 1589488733
ISBN-13 978-1-58948-873-1 / 9781589488731
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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