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Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data

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dc.contributor.author Kleynhans, W
dc.contributor.author Olivier JC
dc.contributor.author Wessels, Konrad J
dc.contributor.author Van Den Bergh F
dc.contributor.author Salmon BP
dc.contributor.author Steenkamp Karen C
dc.date.accessioned 2010-04-13T08:40:17Z
dc.date.available 2010-04-13T08:40:17Z
dc.date.issued 2009-12-15
dc.identifier.citation Kleynhans, 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 1-5 en
dc.identifier.issn 1545-598X
dc.identifier.uri http://hdl.handle.net/10204/4028
dc.description Copyright: 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 Letters en
dc.description.abstract 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. en
dc.description.sponsorship IEEE Geoscience and Remote Sensing Society en
dc.language.iso en en
dc.publisher IEEE en
dc.subject Kalman Filter en
dc.subject Extended Kalman filter en
dc.subject Moderate resolution imaging spectroradiometer en
dc.subject Normalized difference vegetation index en
dc.subject MODIS NDVI time series en
dc.subject Advanced very high resolution radiometer en
dc.subject Fast fourier transform en
dc.title Improving land cover class separation using an extended Kalman filter on MODIS NDVI time series data en
dc.type Article en
dc.identifier.apacitation Kleynhans, 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/10204/4028 en_ZA
dc.identifier.chicagocitation Kleynhans, 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/10204/4028 en_ZA
dc.identifier.vancouvercitation Kleynhans 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. en_ZA
dc.identifier.ris 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 - en_ZA


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