ResearchSpace

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

Show simple item record

dc.contributor.author Kleynhans, W
dc.contributor.author Olivier, JC
dc.contributor.author Salmon, BP
dc.contributor.author Wessels, Konrad J
dc.contributor.author Van den Bergh, F
dc.date.accessioned 2011-02-15T12:59:07Z
dc.date.available 2011-02-15T12:59:07Z
dc.date.issued 2010
dc.identifier.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 en_US
dc.identifier.uri http://hdl.handle.net/10204/4872
dc.description IEEE International Geoscience and Remote Sensing Symposium, Honululu, Hawaii, USA. 25-30 July 2010 en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow request;5779
dc.subject Spatio-temporal approach en_US
dc.subject Extended kalman filter en_US
dc.subject Modis time series data en_US
dc.subject MODerate resolution imaging Spectroradiometer en_US
dc.subject Satellite data en_US
dc.subject NDVI signal en_US
dc.subject Geosciences en_US
dc.subject Remote sensing en_US
dc.title Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Kleynhans, W., Olivier, J., Salmon, B., Wessels, K. J., & Van den Bergh, F. (2010). Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data. http://hdl.handle.net/10204/4872 en_ZA
dc.identifier.chicagocitation Kleynhans, W, JC Olivier, BP Salmon, Konrad J Wessels, and F Van den Bergh. "Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data." (2010): http://hdl.handle.net/10204/4872 en_ZA
dc.identifier.vancouvercitation Kleynhans W, Olivier J, Salmon B, Wessels KJ, Van den Bergh F, Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data; 2010. http://hdl.handle.net/10204/4872 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kleynhans, W AU - Olivier, JC AU - Salmon, BP AU - Wessels, Konrad J AU - Van den Bergh, F AB - 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. DA - 2010 DB - ResearchSpace DP - CSIR KW - Spatio-temporal approach KW - Extended kalman filter KW - Modis time series data KW - MODerate resolution imaging Spectroradiometer KW - Satellite data KW - NDVI signal KW - Geosciences KW - Remote sensing LK - https://researchspace.csir.co.za PY - 2010 T1 - Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data TI - Spatio-temporal approach to detecting land cover change using an extended kalman filter on modis time series data UR - http://hdl.handle.net/10204/4872 ER - en_ZA


Files in this item

Thumbnail
Name: Kleynhans1_2010.pdf
Size: 198.6Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Show simple item record