ResearchSpace

Automated land cover change detection: the quest for meaningful high temporal time series extraction

Show simple item record

dc.contributor.author Salmon, BP
dc.contributor.author Olivier, JC
dc.contributor.author Kleynhans, W
dc.contributor.author Wessels, Konrad J
dc.contributor.author Van den Bergh, F
dc.date.accessioned 2010-12-06T08:36:48Z
dc.date.available 2010-12-06T08:36:48Z
dc.date.issued 2010-07
dc.identifier.citation Salmon, BP, Olivier, JC, Kleynhans, W et al. 2010. Automated land cover change detection: the quest for meaningful high temporal time series extraction. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, 25-30 July 2010, pp 1-4 en
dc.identifier.uri http://hdl.handle.net/10204/4590
dc.description Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, 25-30 July 2010 en
dc.description.abstract An automated land cover change detection method is proposed that uses coarse resolution hyper-temporal satellite time series data. The study compared two different unsupervised clustering approaches that operate on the short term Fourier transform coefficients of subsequences of 8-day composite MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance data that were extracted with a temporal sliding window. The method uses a feature extraction process that creates meaningful sequential time series that can be analyzed and processed for change detection. The method was evaluated on real and simulated land cover change examples and obtained a change detection accuracy higher than 76% on real land cover conversion and more than 70% on simulated land cover conversion. en
dc.language.iso en en
dc.publisher IEEE en
dc.relation.ispartofseries Conference Paper en
dc.subject Change detection en
dc.subject Clustering en
dc.subject Satellite en
dc.subject Time series en
dc.subject Land cover en
dc.subject Geoscience en
dc.subject Remote sensing en
dc.title Automated land cover change detection: the quest for meaningful high temporal time series extraction en
dc.type Conference Presentation en
dc.identifier.apacitation Salmon, B., Olivier, J., Kleynhans, W., Wessels, K. J., & Van den Bergh, F. (2010). Automated land cover change detection: the quest for meaningful high temporal time series extraction. IEEE. http://hdl.handle.net/10204/4590 en_ZA
dc.identifier.chicagocitation Salmon, BP, JC Olivier, W Kleynhans, Konrad J Wessels, and F Van den Bergh. "Automated land cover change detection: the quest for meaningful high temporal time series extraction." (2010): http://hdl.handle.net/10204/4590 en_ZA
dc.identifier.vancouvercitation Salmon B, Olivier J, Kleynhans W, Wessels KJ, Van den Bergh F, Automated land cover change detection: the quest for meaningful high temporal time series extraction; IEEE; 2010. http://hdl.handle.net/10204/4590 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Salmon, BP AU - Olivier, JC AU - Kleynhans, W AU - Wessels, Konrad J AU - Van den Bergh, F AB - An automated land cover change detection method is proposed that uses coarse resolution hyper-temporal satellite time series data. The study compared two different unsupervised clustering approaches that operate on the short term Fourier transform coefficients of subsequences of 8-day composite MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance data that were extracted with a temporal sliding window. The method uses a feature extraction process that creates meaningful sequential time series that can be analyzed and processed for change detection. The method was evaluated on real and simulated land cover change examples and obtained a change detection accuracy higher than 76% on real land cover conversion and more than 70% on simulated land cover conversion. DA - 2010-07 DB - ResearchSpace DP - CSIR KW - Change detection KW - Clustering KW - Satellite KW - Time series KW - Land cover KW - Geoscience KW - Remote sensing LK - https://researchspace.csir.co.za PY - 2010 T1 - Automated land cover change detection: the quest for meaningful high temporal time series extraction TI - Automated land cover change detection: the quest for meaningful high temporal time series extraction UR - http://hdl.handle.net/10204/4590 ER - en_ZA


Files in this item

Thumbnail
Name: Salmon_2010.pdf
Size: 546.1Kb
Format: PDF
View/Open

This item appears in the following Collection(s)

Show simple item record