Learning Module 6.2
Accuracy Assessment

Introduction

Accuracy assessments essentially determine the quality of the information derived from remotely sensed data. These assessments can either be qualitative or quantitative. Qualitative is usually a quick comparison to see if the remote sensed data or map "looks right" and corresponds to what is on the ground. Quantitative assessments attempt to identify and quantify error. In these assessments, we compare map data with reference or ground truth data. Accuracy is important because remote sensed data are often used for mapping and developing environmental models that are used for management and decision making purposes.

Learning Outcomes

• Define accuracy and precision
• How to design and conduct an accuracy assessment
• How to create and read an error matrix
• Understand various accuracy and error metrics and how to calculate the metrics

Readings

• Read pages 306-308 in Principles of remote sensing: An introductory textbook

Presentations and Content

• Accuracy vs Precision
• Conducting Accuracy Assessment
• Error Matrix
• Accuracy Metrics

Activity: Accuracy Assessment Activity

In this activity we will work together as a class to collect reference data using high resolution Google Earth imagery. We will then use this data to conduct an accuracy assessment of an unsupervised classification of a Landsat 8 image. Log into Canvas to view the details of this activity.

 

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