Improving Land Cover Class Separation Using an Extended Kalman Filter on MODIS NDVI Time-Series Data

Author

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

Author_Institution

Dept. of Electr., Electron. & Comput. Eng., Univ. of Pretoria, Pretoria, South Africa

Volume

7

Issue

2

fYear

2010

fDate

4/1/2010 12:00:00 AM

Firstpage

381

Lastpage

385

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.

Keywords

Kalman filters; fast Fourier transforms; geophysical techniques; remote sensing by radar; terrain mapping; time series; vegetation mapping; MODIS NDVI time-series data; Moderate Resolution Imaging Spectroradiometer satellite data; South Africa; discrete Fourier transforms; fast Fourier transform; land cover class separation; natural vegetation; nonlinear extended Kalman filter; normalized difference vegetation index time series; settlement land cover types; triply modulated cosine function; Discrete Fourier transforms; Kalman filtering;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2009.2036578

Filename

5353683