Kleynhans, WOlivier JCWessels, Konrad JVan Den Bergh FSalmon BPSteenkamp Karen C2010-04-132010-04-132009-12-15Kleynhans, W, Olivier, JC et al 2009. Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data. IEEE Geoscience and Remote Sensing Letters, vol. 6 (4), pp 1-51545-598Xhttp://hdl.handle.net/10204/4028Copyright: 2009 IEEE. This is the author's post print version of the work. It is posted here by permission of IEEE for your personal use. Not for redistribution. The definitive version has been published in IEEE, Geoscience and Remote Sensing LettersIt is proposed that the NDVI time-series derived from MODIS satellite data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. Secondly, a non-linear Extended Kalman Filter is developed to estimate the parameters of the modulated cosine function as a function of time. It is shown that the maximum separability of the parameters for natural vegetation and settlement land cover types is better than that of methods based on the Fast Fourier Transform (FFT) using data from two study areas in South Africa.enKalman FilterExtended Kalman filterModerate resolution imaging spectroradiometerNormalized difference vegetation indexMODIS NDVI time seriesAdvanced very high resolution radiometerFast fourier transformArticleKleynhans, W., Olivier JC, Wessels, K. J., Van Den Bergh F, Salmon BP, & Steenkamp Karen C (2009). Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data. http://hdl.handle.net/10204/4028Kleynhans, W, Olivier JC, Konrad J Wessels, Van Den Bergh F, Salmon BP, and Steenkamp Karen C "Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data." (2009) http://hdl.handle.net/10204/4028Kleynhans W, Olivier JC, Wessels KJ, Van Den Bergh F, Salmon BP, Steenkamp Karen C. Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data. 2009; http://hdl.handle.net/10204/4028.TY - Article AU - Kleynhans, W AU - Olivier JC AU - Wessels, Konrad J AU - Van Den Bergh F AU - Salmon BP AU - Steenkamp Karen C AB - It is proposed that the NDVI time-series derived from MODIS satellite data can be modelled as a triply (mean, phase and amplitude) modulated cosine function. Secondly, a non-linear Extended Kalman Filter is developed to estimate the parameters of the modulated cosine function as a function of time. It is shown that the maximum separability of the parameters for natural vegetation and settlement land cover types is better than that of methods based on the Fast Fourier Transform (FFT) using data from two study areas in South Africa. DA - 2009-12-15 DB - ResearchSpace DP - CSIR KW - Kalman Filter KW - Extended Kalman filter KW - Moderate resolution imaging spectroradiometer KW - Normalized difference vegetation index KW - MODIS NDVI time series KW - Advanced very high resolution radiometer KW - Fast fourier transform LK - https://researchspace.csir.co.za PY - 2009 SM - 1545-598X T1 - Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data TI - Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data UR - http://hdl.handle.net/10204/4028 ER -