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Characterising flow patterns in soils by feature extraction and multiple consensus clustering

Title data

Bogner, Christina ; Trancón y Widemann, Baltasar ; Lange, Holger:
Characterising flow patterns in soils by feature extraction and multiple consensus clustering.
In: Ecological Informatics. Vol. 15 (2013) . - pp. 44-52.
ISSN 1574-9541
DOI: https://doi.org/10.1016/j.ecoinf.2013.03.001

Abstract in another language

The quality of surface water and groundwater is closely related to flow paths in the vadose zone. Therefore, dye tracer studies are often carried out to visualize flow patterns in soils. These experiments provide images of stained soil profiles and their evaluation demands knowledge in hydrology as well as in image analysis and statistics. The classical analysis consists of image classification in stained and non-stained parts and calculation of the dye coverage (i.e. the proportion of staining). The variation of this quantity with depth is interpreted to identify dominant flow types. While some feature extraction from images of dye-stained profiles is necessary, restricting the analysis to the dye coverage alone might miss important information. In our study we propose to use several index functions to extract different (ideally complementary) features. We associate each image row with a feature vector (i.e. a certain number of image function values) and use these features to cluster the image rows to identify similar image areas. Because images of stained profiles might have different reasonable clusterings, we calculate multiple consensus clusterings. Experts can explore these different solutions and base their interpretation of predominant ow type on quantitative (objective) criteria.KeywordsFeature extraction; multiple consensus clustering; dye patterns; dye tracer study; vadose zone hydrology

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER114370
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Ecological Modelling
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 24 Apr 2015 11:56
Last Modified: 25 Oct 2017 13:14
URI: https://eref.uni-bayreuth.de/id/eprint/11389