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

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5 Author(s)
Kleynhans, W. ; Electron. & Comput. Eng. Univ. of Pretoria, Pretoria, South Africa ; Salmon, B.P. ; Olivier, J.C. ; Wessels, K.J.
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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 500 m 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.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Date of Conference:

24-29 July 2011