Image analysis with ArcGIS

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Image analysis with ArcGIS2018-03-07T13:51:12+00:00

Project Description

Learn best practices and workflows to enhance visualization and extract meaningful information from satellite imagery, lidar, 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 categorize land cover features and learn how to determine which method is appropriate for a given project and dataset.

Please note that this course is for users of ArcMap.

Audience

GIS professionals, image analysts, and others who work with imagery for mapping and analysis. Those working in the forestry, hydrology, environmental management, urban planning, defense, intelligence, and mining industries may find the course of particular benefit.

Prerequisites

Completion of ArcGIS 2: Essential Workflows or equivalent knowledge

  • Price on request
  • Duration: 2 days

The following topics are covered:

  • Raster function chains and templates
  • Visually analyzing change over time
  • Introduction to image classification
  • Change detection through unsupervised classification
  • Supervised classification of developed areas
  • Accuracy assessment of classified results
  • Impervious surface analysis with object-oriented classification
  • Application of image analysis.

After following this course you will be able to:

  • Use dynamic raster processing functions
  • Identify and document areas of change
  • Perform unsupervised, supervised, and object-oriented classification
  • Assess the accuracy of classification results.

There are no fixed dates for this course. If you are interested in following this course, please contact us at training@esribelux.com.

There are no fixed dates for this course. If you are interested in following this course, please contact us at training@esribelux.com.