Learning Module 6.2
Accuracy Assessment


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


Presentations and Content

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.

Lab: Start Work on Final Project

There is no lab activity this week. Instead you should begin working on your final project. The first step should be identifying and downloading the appropriate data for your project. You might also want to start pre-processing your data. This could include radiometric calibration, atmospheric correction, mosaicking and/or subsetting your data.

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