dc.contributor.author |
Kleynhans, W
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dc.contributor.author |
Olivier JC
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dc.contributor.author |
Wessels, Konrad J
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dc.contributor.author |
Van Den Bergh F
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dc.contributor.author |
Salmon BP
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dc.contributor.author |
Steenkamp Karen C
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dc.date.accessioned |
2010-04-13T08:40:17Z |
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dc.date.available |
2010-04-13T08:40:17Z |
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dc.date.issued |
2009-12-15 |
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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 |
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dc.identifier.uri |
http://hdl.handle.net/10204/4028
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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 -
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en_ZA |