Land cover change detection using autocorrelation analysis on MODIS time-series data : detection of new human settlements in the Gauteng province of South Africa
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Date
Authors
Kleynhans, Waldo
Salmon, Brian Paxton
Olivier, Jan Corne
Van den Bergh, Frans
Wessels, K.J. (Konrad)
Grobler, Trienko Lups
Steenkamp, Karen C.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
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 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 index which yields a change or no-change decision after
thresholding. Simulated change data was generated and used to
determine a threshold during an 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. The
method shows good performance when compared to a traditional
NDVI differencing method that achieved a 75% change detection
accuracy with a 24% false alarm rate for the same study area.
Description
Keywords
Autocorrelation, Change detection, MODIS, Time series
Sustainable Development Goals
Citation
Kleynhans, W, Salmon, BP, Olivier, JC, Van Den Bergh, F, Wessels, KJ, Grobler, TL & Steenkamp, KC 2012, 'Land cover change detection using autocorrelation analysis on MODIS time-series data : detection of new human settlements in the gauteng province of South Africa', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 3, pp. 777-783.