Introduction to Geospatial Concepts for Intelligence

Strictly by pre-registration only

What is this course about?

Learn foundational geospatial concepts that support the intelligence cycle. In the context of real-world scenarios, you will get hands-on practice applying ArcGIS Pro tools and workflows to prepare, visualise, analyse, and disseminate data that supports intelligence operations.

Course details

Location

Singapore

Duration

2 days

Level

Intermediate

Category

ArcGIS Pro Workflows

Are there any prerequisites?

This course assumes familiarity with ArcGIS Pro.

What skills will I learn?

After completing this course, you will be able to:

  • Identify and prepare geospatial data and other content for visualisation and analysis.
  • Organise, create, and manage geospatial data stored in a geodatabase.
  • Display geospatial data and imagery on a map.
  • Create and disseminate information products to support mission planning and intelligence operations.

What can I expect?

  • Course topics

    Geospatial intelligence analysis in ArcGIS

    • Intelligence cycle and geospatial analysis workflow
    • ArcGIS Pro in the ArcGIS system 
    • Geographic data types 
    • ArcGIS Pro project structure 
    • ArcGIS Pro interface and structure 

    Data preparation for operational planning

    • Preparing data for analysis 
    • Understanding metadata 
    • Cleaning data 
    • Data organisation in ArcGIS Pro 
    • Loading data into a geodatabase

    Data and layer properties

    • Data and layers
    • Data visualisation
    • Symbolising layers in ArcGIS Pro
    • Selecting features of interest
    • Adding value to your map
    • Using definition queries
    • When to use queries

    Spatial reference

    • Shape of the earth 
    • Datums 
    • Modelling the earth 
    • Geographic and projected coordinate systems 
    • UTM and MGRS coordinate systems 
    • Geographic or projected coordinate system?

    Raster fundamentals 

    • Raster sources
    • Raster resolutions
    • Raster uses
    • Defining a mosaic dataset
    • Stretch types
    • Raster processing
    • Orthorectification
    • Pan sharpening

    Working with vectors 

    • Sources of vector data
    • Cartographic generalisations
    • Vector digitisation pitfalls
    • Working with vector data
    • Creating vector data

    Introduction to spatial analysis

    • What is spatial analysis?
    • Buffer analysis
    • Digital elevation models

    Map production

    • Creating a map
    • Elements of a map layout
    • Product dissemination
    • Sharing content
       

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