Title: Analyzing dune dynamics at the dune-field scale based on multi-temporal analysis of Landsat-TM images
Authors: Mohamed, Ihab ×
Verstraeten, Gert #
Issue Date: 2012
Publisher: American Elsevier Pub. Co.
Series Title: Remote Sensing of Environment vol:119 pages:105-117
Abstract: Studying dune dynamics at the dune-field scale requires intensive fieldwork and a relatively huge dataset.
However, this is not always possible with the high cost and the limited availability of data. Here, we present
a technique based on the analysis of multi-temporal Landsat-TM images for studying the dynamics of different
dune morphologies from five dune-field sites around the world. A pair of Landsat-TM images for each site
has been used after performing several steps of image pre-processing and enhancement (i.e. image coregistration,
radiometric calibration and histogram equalization). RGB-clustering is a commonly used algorithm
for data compression and iso-clustering. In this study, we implemented this technique as an unconventional
change-detection algorithm with 32 clustering partitions per band. A bi-temporal layerstack of the
near-infrared bands was the input for the RGB-clustering process. RGB-clustering produced thematic maps
that gave an immediate insight into the dune dynamics at the dune-field scale given the availability of Landsat
images. The technique gave the best results with dunes developed under uni-directional wind pattern. In
addition, it was also easier to detect migration of simple dunes than in compound or complex dunes. These
maps can be used as a bi-temporal digital atlas of large dune-systems and help in defining areas for detailed
field measurements on dune dynamics and migration. Moreover, it can be implemented in analyzing aeolian
systems where field measurements are practically impossible (i.e. large and extra-terrestrial aeolian
ISSN: 0034-4257
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Geography & Tourism
× corresponding author
# (joint) last author

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