Land-Surface Segmentation as sampling framework for soil mapping

TitleLand-Surface Segmentation as sampling framework for soil mapping
Publication TypeConference Paper
Year of Publication2013
AuthorsDragut, Lucian, and Andrei Dornik
Refereed DesignationRefereed
Conference NameGeomorphometry 2013
Date Published2013
Conference LocationNanjing, China
AbstractCurrent sampling methods require a large number of samples to account for spatial variation of environmental covariates, which often conflicts the available financial resources. Thus, efficient sampling strategies are desirable. The aim of this study was to evaluate the potential of land-surface segmentation in stratifying a landscape into homogeneous areas, which can be used as support in optimizing soil sampling. The experiments were carried out in a study area where soil samples were available. Land-surface variables were derived from DEMs and segmented with a multiresolution segmentation (MRS) algorithm, into objects considered as homogeneous soil-landscape divisions. Thus, one sample was randomly selected within each segment, based on which predictions of the A-horizon thickness and soil types, were made. Predictions based on the land-surface segmentation sampling schemes outperformed predictions based on simple random sampling and conditioned Latin hypercube, respectively.
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