Accuracy assessment on multi-temporal land-cover change detection using a trajectory error matrix

Baolin Li*, Qiming ZHOU

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

This study develops a practical methodology to assess the accuracy of multi-temporal change detection using a trajectory error matrix (TEM). In this error matrix one axis represents the land-cover change trajectory categories derived from single-date classified images, and the other represents the land-cover change trajectories identified from reference data. The overall accuracies of change trajectories and states of change/no-change are used as indices for accuracy assessment. As the number of possible land-cover change trajectories can be enormous, a practical processing flow for computing accuracy assessment indices has also been developed to avoid listing all possible change trajectories in the error matrix. A case study using this method was conducted to assess the accuracy of land-cover change over a period with five observations in a study area in China's arid zone. This method simplifies the process of estimating overall accuracy in the change trajectory analysis, and provides a more realistic and detailed assessment of the results of multi-temporal change detection using post-classification comparison methods.

Original languageEnglish
Pages (from-to)1283-1296
Number of pages14
JournalInternational Journal of Remote Sensing
Volume30
Issue number5
DOIs
Publication statusPublished - 10 Mar 2009

Scopus Subject Areas

  • Earth and Planetary Sciences(all)

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