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A spatio-temporal approach to detecting land cover change using an extended Kalman filter on MODIS time series data

Citation

Kleynhans, W and Olivier, JC and Salmon, BP and Wessels, KJ and van den Bergh, F, A spatio-temporal approach to detecting land cover change using an extended Kalman filter on MODIS time series data, Proceedings of the IEEE Geoscience and Remote Sensing Symposium (IGARSS) 2010, 25-30 July 2010, Hawaii, USA, pp. 1972-1975. ISBN 978-1-4244-9564-1 (2010) [Refereed Conference Paper]

DOI: doi:10.1109/IGARSS.2010.5653871

Abstract

A method for detecting land cover change using NDVI timeseries data derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite data is proposed. The algorithm acts as a per pixel change alarm and takes as input the NDVI time-series of a 3x3 grid of MODIS pixels. An Extended Kalman Filter was used to estimate a series of parameters related to each NDVI signal. A spatial comparison between the center pixel of the the 3x3 grid and each of its neighboring pixels’ parameters was done to calculate a change metric which compared to a threshold yielded a change or no-change decision. The method was tested on real change examples in the study area and results indicate 90% detection of new settlements occurring in naturally vegetated areas.

Item Details

Item Type:Refereed Conference Paper
Keywords:MODIS time series, land cover change detection, extended Kalman filter
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Electrical and Electronic Engineering not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
Author:Olivier, JC (Professor JC Olivier)
Author:Salmon, BP (Dr Brian Salmon)
ID Code:78843
Year Published:2010
Deposited By:Engineering
Deposited On:2012-07-30
Last Modified:2014-12-05
Downloads:0

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