Soil-terrain modeling for site-specific agricultural management

J. C. Bell; C. A. Butler; J. A. Thompson

Soil-terrain modeling for site-specific agricultural management

J. C. Bell, C. A. Butler, J. A. Thompson

Soil, Water, and Climate

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

Topographic variables derived from a 10 m DEM can explain 51% of the variability in A-horizon depth and 44% of the variability in depth to carbonates for a hillslope in western Minnesota. Spatial patterns of A-horizon depth and depth-to-carbonates can be mapped using statistical relationships with terrain variables. Soil-terrain modelling techniques may be a cost-effective means of mapping soil variability and defining common management areas for site specific agricultural management for certain landscapes. -from Authors

Original language	English (US)
Pages (from-to)	209-227
Number of pages	19
Journal	Unknown Journal
State	Published - Jan 1 1995

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title = "Soil-terrain modeling for site-specific agricultural management",

abstract = "Topographic variables derived from a 10 m DEM can explain 51% of the variability in A-horizon depth and 44% of the variability in depth to carbonates for a hillslope in western Minnesota. Spatial patterns of A-horizon depth and depth-to-carbonates can be mapped using statistical relationships with terrain variables. Soil-terrain modelling techniques may be a cost-effective means of mapping soil variability and defining common management areas for site specific agricultural management for certain landscapes. -from Authors",

author = "Bell, {J. C.} and Butler, {C. A.} and Thompson, {J. A.}",

year = "1995",

month = jan,

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language = "English (US)",

pages = "209--227",

journal = "Journal of Fluid Mechanics",

issn = "0022-1120",

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N2 - Topographic variables derived from a 10 m DEM can explain 51% of the variability in A-horizon depth and 44% of the variability in depth to carbonates for a hillslope in western Minnesota. Spatial patterns of A-horizon depth and depth-to-carbonates can be mapped using statistical relationships with terrain variables. Soil-terrain modelling techniques may be a cost-effective means of mapping soil variability and defining common management areas for site specific agricultural management for certain landscapes. -from Authors

AB - Topographic variables derived from a 10 m DEM can explain 51% of the variability in A-horizon depth and 44% of the variability in depth to carbonates for a hillslope in western Minnesota. Spatial patterns of A-horizon depth and depth-to-carbonates can be mapped using statistical relationships with terrain variables. Soil-terrain modelling techniques may be a cost-effective means of mapping soil variability and defining common management areas for site specific agricultural management for certain landscapes. -from Authors

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