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

journal contribution
posted on 2023-05-17, 17:42 authored by Kleynhans, W, Jan OlivierJan Olivier, Wessels, KJ, van den Bergh, F, Brian SalmonBrian Salmon, Steenkamp, KC
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.

History

Publication title

IEEE Geoscience and Remote Sensing Letters

Volume

7

Pagination

381-385

ISSN

1545-598X

Department/School

School of Engineering

Publisher

IEEE

Place of publication

United States

Rights statement

Copyright 2009 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering

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