A dem-based modified pixel swapping algorithm for floodplain inundation mapping at subpixel scale

Chang Huang, Yun Chen, Jianping Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Subpixel mapping is a promising way to increase the spatial resolution of classification results from images that have coarse spatial resolution but high temporal resolution. Existing subpixel mapping methods are not adequate for mapping linear features such as floodplain inundation. This study modified the commonly used pixel swapping (PS) algorithm and one of its derivatives, the linearised pixel swapping (LPS) algorithm, by employing finer resolution Digital Elevation Model (DEM) data. Results of a case study show that the modified method performs better than both the PS and LPS algorithms. It improves the accuracy and the Kappa coefficient by 4.78% and 0.11 in comparison with the PS algorithm. The spatial pattern of the inundation reveals fewer breakpoints and errors along the river channels. It is hoped that the proposed method will broaden the application of coarse resolution images in flood inundation detection.

Original languageEnglish
Title of host publication2013 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Proceedings
Pages3994-3997
Number of pages4
DOIs
StatePublished - 2013
Event2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013 - Melbourne, VIC, Australia
Duration: 21 Jul 201326 Jul 2013

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2013 33rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period21/07/1326/07/13

Keywords

  • Anisotropic distance-decay model
  • Inundation detection
  • LiDAR DEM
  • Remote sensing
  • Subpixel mapping

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