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Quest for automated land cover change detection using satellite time series data

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dc.contributor.author Salmon, BP
dc.contributor.author Olivier, JC
dc.contributor.author Kleynhans, W
dc.contributor.author Wessels, Konrad J
dc.contributor.author Van den Bergh, F
dc.date.accessioned 2010-03-08T09:55:43Z
dc.date.available 2010-03-08T09:55:43Z
dc.date.issued 2009-07
dc.identifier.citation Salmon, BP, Olivier, JC et al. 2009. Quest for automated land cover change detection using satellite time series data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009, pp 244-247 en
dc.identifier.isbn 978-1-4244-3395-7 en
dc.identifier.uri http://hdl.handle.net/10204/3978
dc.description IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12-17 July 2009 en
dc.description.abstract This paper shows that a feedforward Multilayer Perceptron (MLP) operating over a temporal sliding window of multispectral time series MODerate-resolution Imaging Spectroradiometer (MODIS) satellite data is able to detect land cover change that was artificially introduced by concatenating time series belonging to different types of land cover. The method employs an iteratively retrained MLP that is a supervised method, and thus captures all local environmental patterns. Depending on the length of the temporal sliding window used in the short-term Fourier transform, an overall change detection accuracy of between 87.62% and 97.02% was achieved. It is shown that for this type of simulated land cover change, where land cover change was abrupt, a short-term FFT window of 18 months or less, using only the two NDVI spectral bands of MODIS data was sufficient to detect change reliably. en
dc.language.iso en en
dc.publisher IEEE en
dc.subject MLP en
dc.subject Feedforward multilayer perceptron en
dc.subject Land cover en
dc.subject Satellites time series en
dc.subject Feedforward neural networks en
dc.subject MODIS data en
dc.subject MODerate-resolution imaging spectroradiometer en
dc.subject Remote sensing en
dc.subject Geosciences en
dc.title Quest for automated land cover change detection using satellite time series data en
dc.type Conference Presentation en


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