Gully detection with Inverse Morphological Reconstruction Algorithm [data]

DOI

Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to detect gullies instead of buildings or other man-made structures. This operator can be configured to different gully depths and widths. The algorithm is based on successive geodesic dilations applied on a moving kernel. The geodesic dilation uses a mask (shifted copy of the original terrain) to generate a reconstructed surface, which ultimately can be subtracted from the original terrain to produce off-terrain elements or gully zones. Thus, the algorithm uses as inputs the original DEM, and a predefined height (mask shift) and width (kernel size) in meters, to customize the minimum detectable gully by the operator.

Identifier
DOI https://doi.org/10.11588/data/PXDR4M
Related Identifier https://doi.org/10.3390/rs11111327
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/PXDR4M
Provenance
Creator Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf
Publisher heiDATA
Contributor Vallejo Orti, Miguel
Publication Year 2023
Funding Reference Kurt-Hiehle-Stiftung (Heidelberg University)
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Vallejo Orti, Miguel (Heidelberg University, Institute of Geography)
Representation
Resource Type Dataset
Format text/plain
Size 3582; 6678; 3037; 14843209
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences