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Library Determination of representative elementary areas for soil redoximorphic features identified by digital image processing

Determination of representative elementary areas for soil redoximorphic features identified by digital image processing

Determination of representative elementary areas for soil redoximorphic features identified by digital image processing

Resource information

Date of publication
December 2011
Resource Language
ISBN / Resource ID
AGRIS:US201400190405
Pages
138-146

Photography has been a welcome tool in documenting and conveying qualitative soil information. When coupled with image analysis software, the usefulness of digital cameras can be increased to advance the field of micropedology. The determination of a representative elementary area (REA) still remains a critical information need for soil scientists so that field measurements are independent of sample size and account for spatial heterogeneity. An objective of this study was to define and determine an REA for Low Chroma and High Chroma soil redoximorphic features (SRFs) present in claypan soils of northeastern Missouri, USA using a digital camera and image classification techniques. An additional objective was to examine REA differences between these two SRF types, soil depths, and landscape positions to highlight sampling considerations when quantifying SRFs in the field. Three metrics were chosen to quantify SRF heterogeneity, including percent occurrence, mean Euclidean distance, and the Interspersion/Juxtaposition Index. The relative change in these metrics was determined for 16 image sizes ranging from 2.5cm² to 40 cm² and used to identify an REA. Results showed REAs (mean±SE) for Low Chroma (17.7cm²±0.4) and High Chroma (25.4cm²±0.7) were significantly different (α=0.05). Further review of REAs indicated large sampling diameters (>8cm) are necessary to simultaneously capture REAs of Low Chroma and High Chroma SRFs. When SRFs were considered separately, a ≥5cm diameter core is recommended to reach an REA for Low Chroma, allowing accurate quantification for soil classification purposes and hydric soil determinations. Federal and state agencies requiring quantifiable SRF measures for land management decisions may greatly benefit from determining these minimum measurement scales, ensuring appropriate data collection methods in the future.

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Authors and Publishers

Author(s), editor(s), contributor(s)

O'Donnell, T. Kevin
Goyne, Keith W.
Miles, Randall J.
Baffaut, Claire
Anderson, Stephen H.
Sudduth, Kenneth A.

Publisher(s)
Data Provider
Geographical focus