Land cover change analysis using change detection methods

Anton Afanasyev, Alexander Zamyatin, Pedro Cabral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Land cover change detection analysis by remote sensing currently is used for monitoring and accounting. The existing diversity of change detection methods and the absence of the conventional way of change detection methods choice in each case do not allow unsupervised analysis of large amounts of data. A proposed multi-stage approach, involves the use of multiple change detection methods and thresholding functions, as well as a way to assess the scale of changes. This approach allows to select data and deserves expert review from a large amount of incoming data. On the example of Portugal’s land cover change analysis project, the paper shows result fragments of change detection which were obtained by different methods and threshold functions. The assessment of changes scale was concluded to see whether further analysis is necessary for landscape fragments.

Original languageEnglish
Title of host publicationInformation Technologies and Mathematical Modelling - 13th International Scientific Conference, ITMM 2014, Proceedings
PublisherSpringer-Verlag
Pages11-17
Number of pages7
Volume487
ISBN (Electronic)9783319136707
Publication statusPublished - 2014
Event13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014 - Anzhero-Sudzhensk, Russian Federation
Duration: 20 Nov 201422 Nov 2014

Publication series

NameCommunications in Computer and Information Science
Volume487
ISSN (Print)18650929

Conference

Conference13th International Scientific Conference on Information Technologies and Mathematical Modelling, ITMM 2014
CountryRussian Federation
CityAnzhero-Sudzhensk
Period20/11/1422/11/14

Keywords

  • Change detection
  • Landyn project
  • Remote sensing

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  • Cite this

    Afanasyev, A., Zamyatin, A., & Cabral, P. (2014). Land cover change analysis using change detection methods. In Information Technologies and Mathematical Modelling - 13th International Scientific Conference, ITMM 2014, Proceedings (Vol. 487, pp. 11-17). (Communications in Computer and Information Science; Vol. 487). Springer-Verlag.