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An autocorrection analysis approach to detecting land cover change using hyper-temporal time-series data

Citation

Kleynhans, W and Salmon, BP and Olivier, JC and Wessels, KJ and van den Bergh, JC, An autocorrection analysis approach to detecting land cover change using hyper-temporal time-series data, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2011, 24-29 July 2011, Vancouver, Canada, pp. 94-97. ISBN 978-1-4577-1003-2 (2011) [Refereed Conference Paper]

DOI: doi:10.1109/IGARSS.2011.6048906

Abstract

Human settlement expansion is one of the most pervasive forms of land cover change in the Gauteng province of South Africa. A method for detecting new settlement developments in areas that are typically covered by natural vegetation using 500m MODIS time-series satellite data is proposed. The method is a per pixel change alarm that uses the temporal autocorrelation to infer a change metric which yields a change or no-change decision after thresholding. Simulated change data was generated and used to determine a threshold during a preliminary off-line optimization phase. After optimization the method was evaluated on examples of known land cover change in the study area and experimental results indicate a 92% change detection accuracy with a 15% false alarm rate.

Item Details

Item Type:Refereed Conference Paper
Keywords:time series, land cover change, autocorrelation
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Electrical and Electronic Engineering not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Salmon, BP (Dr Brian Salmon)
Author:Olivier, JC (Professor JC Olivier)
ID Code:78836
Year Published:2011
Web of Science® Times Cited:1
Deposited By:Engineering
Deposited On:2012-07-30
Last Modified:2017-11-06
Downloads:0

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