Introduction

This module will be all about applying your knowledge to analyze different types of data. This module has more assignments than past modules because the best way to learn many of the topics is through self-conducted analysis. We will learn how to work with several different data types including raster data, vector data and point cloud data. Lastly, we will learn how to create coherent maps that display the information being analyzed and discuss how map-making and other kinds of visualization can aid forestry.

Outcomes

By the end of this module, you should be able to:

• Conduct basic image enhancement and apply spatial filters.
• Apply unsupervised and supervised classification and analyze accuracy assessments.
• Identify types of environmental change, how geo-spatial data can detect it and applications of temporal image analysis.
• Compare the difference between airborne and satellite imagery, and the applications of digital aerial photogrammetry.
• Analyze 2D point cloud data and apply it to DEM’s and forest structure at different scales.
• Apply raster modelling to identify terrain surface parameters.
• List and explain what makes a good map.