Paper
6 January 1995 Mapping soil attributes for site-specific management of a Montana field
John P. Wilson, Damian J. Spangrud, Melissa A. Landon, Jeffrey S. Jacobsen, Gerald A. Nielson
Author Affiliations +
Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995) https://doi.org/10.1117/12.198897
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
Conventional soil maps represent the distribution of soil attributes across landscapes but with less precision than is needed to obtain the full economic and environmental benefits of site- specific crop management. This study quantifies the spatial variability of three agronomically significant soil attributes: (1) thickness of mollic epipedon, (2) organic matter content (OM), and (3) pH as related to soil survey map units, spectral data, and terrain attributes for a 20 ha field in Montana. Analysis of Order 1 (1:7920-scale) Soil Survey map units indicates substantial variation in all three soil attributes. There was some evidence that similar attribute values were clustered in the field (0.40 - 0.46 Moran's Coefficients). Two spectral band ratios explained 64% of the variation in OM across the field. GPS/GIS-derived wetness index, sediment transport index, elevation, and slope gradient explained 48% of OM variation. Wetness index, slope gradient, and plan curvature combined to explain 48% of the variation in mollic epipedon thickness. Elevation and wetness index explained just 13% of pH variation. Two spectral band ratios, specific catchment area, and wetness index combined to explain 70% of the variation in OM at 66 sampling sites. Four contour map representations of OM illustrate the sensitivity of the final maps to variations in input data and interpolation method.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John P. Wilson, Damian J. Spangrud, Melissa A. Landon, Jeffrey S. Jacobsen, and Gerald A. Nielson "Mapping soil attributes for site-specific management of a Montana field", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); https://doi.org/10.1117/12.198897
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Cited by 3 scholarly publications.
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KEYWORDS
Soil science

Earth observing sensors

Landsat

Global Positioning System

Statistical analysis

Water

Data conversion

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