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

Kleynhans, Waldo; Olivier, Jan Corne; Wessels, K.J. (Konrad); Van den Bergh, Frans; Salmon, Brian Paxton; Steenkamp, Karen C.

UPSpace Home
→
Engineering, Built Environment and Information Technology
→
Electrical, Electronic and Computer Engineering
→
Research Articles (Electrical, Electronic and Computer Engineering)
→
View Item

Please note that UPSpace will be unavailable from Friday, 2 May at 18:00 (South African Time) until Sunday, 4 May at 20:00 due to scheduled system upgrades. We apologise for any inconvenience this may cause and appreciate your understanding.

Show simple item record

dc.contributor.author	Kleynhans, Waldo
dc.contributor.author	Olivier, Jan Corne
dc.contributor.author	Wessels, K.J. (Konrad)
dc.contributor.author	Van den Bergh, Frans
dc.contributor.author	Salmon, Brian Paxton
dc.contributor.author	Steenkamp, Karen C.
dc.date.accessioned	2010-02-17T06:27:40Z
dc.date.available	2010-02-17T06:27:40Z
dc.date.issued	2009
dc.description.abstract	It is proposed that the normalized difference vegetation index time series derived from Moderate Resolution Imaging Spectroradiometer satellite data can be modeled as a triply (mean, phase, and amplitude) modulated cosine function. Second, a nonlinear 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 using data from two study areas in South Africa.	en
dc.identifier.citation	Kleynhans, W, Olivier, JC, Wessels, KJ, Van den Bergh, F, Salmon, BP & Steenkamp, KC 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, no. 4. [http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8859]	en
dc.identifier.issn	1545-598X
dc.identifier.other	10.1109/LGRS.2009.2036578
dc.identifier.uri	http://hdl.handle.net/2263/13101
dc.language.iso	en	en
dc.publisher	Institute of Electrical and Electronics Engineers	en
dc.rights	©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.	en
dc.subject.lcsh	Fourier transformations	en
dc.subject.lcsh	Kalman filtering	en
dc.subject.lcsh	MODIS (Spectroradiometer)	en
dc.title	Improving land cover class separation using an extended Kalman filter on MODIS NDVI time-series data	en
dc.type	Article	en