%0 Generic
%A Jaïbi, Olfa
%D 2021
%T Data of two sites in Somalia underlying the paper: Multistability of model and real dryland ecosystems through spatial self-organization
%U https://data.4tu.nl/articles/dataset/Data_of_two_sites_in_Somalia_underlying_the_paper_Multistability_of_model_and_real_dryland_ecosystems_through_spatial_self-organization/16884913/1
%R 10.4121/16884913.v1
%K data
%K matlab data
%K ecological data
%K arid ecosystems
%K vegetation patterns
%K self-organisation
%X For both sites, topographical data was
retrieved from the ALOS World 3D 30m (AW3D30, v. 2.1)
digital raster elevation model. This model describes the height
above sea level (in m, rounded to the nearest integer), at a
ground resolution of approximately 30m at the equator. The
elevation data was preprocessed for the removal of artifacts by
applying a global soft-thresholding on its dual tree complex
wavelet transform. Specifically, we set a threshold of 0.9 on
the first five dual-tree complex wavelet transform levels. From
the preprocessed data, we calculated the slope gradient (in %)
and slope aspect (in degrees). We first extracted square DEM
windows of 33 by 33 cells (i.e. approximately 990m × 990m),
centered on the image windows. We then applied a least
squares fitting procedure of an unconstrained quadratic surface
on the unweighted elevation values. This gave the following datasets. <br>
%I 4TU.ResearchData