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Description

February 13, 2018 - February 20, 2018

In last year’s ARSET Advanced Webinar: Land Cover Classification with Satellite Imagery, attendees learned the basic steps to create a supervised land cover classification. The next step to using land cover classifications is being able to evaluate the performance of a land cover map using accuracy assessments. This training will equip attendees with the skills necessary to conduct an accuracy assessment on a land cover map and identify which classes might be misrepresented.

Agenda Cite This Training

Prerequisites

Attendees that do not complete prerequisites may not be properly prepared for the pace during the training.

Citation
(2018). ARSET - Accuracy Assessment of a Land Cover Classification. NASA Applied Remote Sensing Training Program (ARSET). http://appliedsciences.nasa.gov/get-involved/training/english/arset-accuracy-assessment-land-cover-classification
Objective

By the end of the training, attendees will be able to:

  • Conduct an accuracy assessment on a land cover map
  • Understand how to create and use reference data
  • Become familiar with sample designs for accuracy assessment
  • Develop and interpret an error matrix
Audience

This training is primarily intended for local, regional, state, federal, and international organizations interested in assessing vegetation condition using satellite imagery.

Course Format
  • Two 2-hour sessions
Sessions
Part 1: Introduction to Accuracy Assessments

An overview of accuracy assessment, identifying reference data, and sample designs and methods.

Materials:

Materiales en Español:

mrambeau.nasa