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.
Who Should Attend
GIS professionals, image analysts and others who work with imagery for mapping and analysis. Those working in the forestry, hydrology, environmental management, urban planning, defence, intelligence and mining industries may find this course of particular benefit.
After completing this course, you will be able to:
- Apply dynamic raster processing functions to enhance raster display, prepare data for analysis and quickly create multiple products from a single data source
- Create a time-series mosaic dataset to visually identify and document areas of change
- Support change detection, risk assessment and other types of analysis by performing unsupervised, supervised and object-oriented classification
- Assess the accuracy of classification results