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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/4872

Title: Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data
Authors: Kleynhans, W
Olivier, JC
Salmon, BP
Wessels, KJ
Van den Bergh, F
Keywords: Spatio-temporal approach
Extended kalman filter
Modis time series data
MODerate resolution imaging Spectroradiometer
Satellite data
NDVI signal
Geosciences
Remote sensing
Issue Date: 2010
Citation: Kleynhans, W, Olivier, JC, Salmon, BP et al. Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data. IEEE International Geoscience and Remote Sensing Symposium, Honululu, Hawaii, USA. 25-30 July 2010, pp 4
Series/Report no.: Workflow request;5779
Abstract: A method for detecting land cover change using NDVI timeseries data derived fromMODerate-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.
Description: IEEE International Geoscience and Remote Sensing Symposium, Honululu, Hawaii, USA. 25-30 July 2010
URI: http://hdl.handle.net/10204/4872
Appears in Collections:Earth observation
General science, engineering & technology

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