Long-term coastal changes detection system based on remote sensing and image processing around an island

Maged Bouchahma, Wanglin Yan

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

1 Citation (Scopus)

Abstract

As an island ecosystem, Djerba, a region of Tunisia located on the southern shore of the Mediterranean Sea, is characterized by limited natural resources and threatened by land degradation due to rapid socio-economic development and heavy human-induced changes to the landscape. The objective of this study is to build a system based on computer vision and remote sensing data for monitoring changes in the coastal zones of an island. We employed monthly Landsat Thematic Mapper (TM) satellite images of the study area ranging from 1984 to 2009. The images were preprocessed using the Speeded Up Robust Features (SURF) algorithm to superimpose remote sensing images at exactly the same coordinates. We then used comparison technique to auto-validate the detection of changes. The technique is based on a window-to-window comparison of the coastal zones. Three highly affected regions were identified. The Bin El-Ouidiane (in the southeast) and Rass Errmal (in the north) regions underwent deposition during the study period, whereas the region of Rass El Kastil (in the north) underwent high erosion.

Original languageEnglish
Title of host publicationProceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012
DOIs
Publication statusPublished - 2012
Event2012 20th International Conference on Geoinformatics, Geoinformatics 2012 - Hong Kong, China
Duration: 2012 Jun 152012 Jun 17

Other

Other2012 20th International Conference on Geoinformatics, Geoinformatics 2012
CountryChina
CityHong Kong
Period12/6/1512/6/17

Fingerprint

Coastal zones
Remote sensing
Image processing
Bins
Natural resources
Ecosystems
Computer vision
Erosion
Satellites
Degradation
Economics
Monitoring

Keywords

  • Canny edge detector
  • Coastal line change
  • Djerba
  • Landsat TM
  • SURF

ASJC Scopus subject areas

  • Information Systems

Cite this

Bouchahma, M., & Yan, W. (2012). Long-term coastal changes detection system based on remote sensing and image processing around an island. In Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012 [6270334] https://doi.org/10.1109/Geoinformatics.2012.6270334

Long-term coastal changes detection system based on remote sensing and image processing around an island. / Bouchahma, Maged; Yan, Wanglin.

Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012. 2012. 6270334.

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

Bouchahma, M & Yan, W 2012, Long-term coastal changes detection system based on remote sensing and image processing around an island. in Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012., 6270334, 2012 20th International Conference on Geoinformatics, Geoinformatics 2012, Hong Kong, China, 12/6/15. https://doi.org/10.1109/Geoinformatics.2012.6270334
Bouchahma M, Yan W. Long-term coastal changes detection system based on remote sensing and image processing around an island. In Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012. 2012. 6270334 https://doi.org/10.1109/Geoinformatics.2012.6270334
Bouchahma, Maged ; Yan, Wanglin. / Long-term coastal changes detection system based on remote sensing and image processing around an island. Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012. 2012.
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