Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 30, Issue 5, Pages 1283-1296Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/01431160802474022
Keywords
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Funding
- National Key Basic Research and Development Program [2006CB701305]
- Pioneer Project of Institute of Geographical Sciences and Natural Resources Research
- Hong Kong Research Grants Council Competitive Earmarked Research Grant [HKBU 2029/07P]
- Hong Kong Baptist University Faculty Research Grant [FRG/06-07/II-76]
- State Key Lab of Resources and Environmental Information System Grant [088RA400SA]
- Chinese Academy of Sciences Grant [K2CX2-YW-409]
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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.
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