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

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5 Author(s)
Kleynhans, W. ; Electr., Electron. & Comput., Eng. Univ. of Pretoria, Pretoria, South Africa ; Olivier, J.C. ; Salmon, B.P. ; Wessels, K.J.
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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 3 × 3 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 3 × 3 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.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Date of Conference:

25-30 July 2010