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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5363

Title: An autocorrelation analysis approach to detecting land cover change using hyper-temporal time-series data
Authors: Kleynhans, W
Salmon, BP
Olivier, JC
Wessels, KJ
Van den Bergh, F
Keywords: Human settlements
Hyper temporal time series data
Settlement developments
Land cover change
Gauteng land cover change
Time series data
Remote sensing
Geosciences
IGARSS 2011
Issue Date: Jul-2011
Citation: Kleynhans, W, Salmon, BP, Olivier, JC et al. 2011. An autocorrelation analysis approach to detecting land cover change using hyper-temporal time-series data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011
Series/Report no.: Workflow request;7208
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.
Description: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 24-29 July 2011
URI: http://hdl.handle.net/10204/5363
Appears in Collections:Earth observation
General science, engineering & technology

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