Results 111 to 120 of about 15,177 (168)

Updating legacy soil data for digital soil mapping

, 2012
Kempen, B., Brus, D.J., de Vries, F., Engel, B.   +3 more
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Updating Conventional Soil Maps through Digital Soil Mapping

Soil Science Society of America Journal, 2011
Conventional soil maps, as the major data source for information on the spatial variation of soil, are limited in terms of both the level of spatial detail and the accuracy of soil attributes. These soil maps, however, contain valuable knowledge on soil-environment relationships.
Lin Yang, You Jiao, Sherif Fahmy, A-Xing Zhu, Sheldon Hann, James E. Burt, Feng Qi   +6 more
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On digital soil mapping

Geoderma, 2003
We review various recent approaches to making digital soil maps based on geographic information systems (GIS) data layers, note some commonalities and propose a generic framework for the future. We discuss the various methods that have been, or could be, used for fitting quantitative relationships between soil properties or classes and their ...
A.B McBratney, M.L Mendonça Santos, B Minasny   +2 more
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Updating the national soil map of Nepal through digital soil mapping

Geoderma, 2021
Abstract While most legacy soil maps are available at coarse spatial detail with composite mapping units, high resolution and detailed soil maps are desired for various land resource applications. In time and resource constrained circumstances, the application of disaggregation methods and modelling approaches that capitalise on existing, less ...
Sushil Lamichhane, Lalit Kumar, Kabindra Adhikari   +2 more
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Digital Soil Mapping

2016
In recent times we have bared witness to the advancement of the computer and information technology ages. With such advances, there have come vast amounts of data and tools in all fields of endeavor. This has motivated numerous initiatives around the world to build spatial data infrastructures aiming to facilitate the collection, maintenance ...
Brendan P. Malone, Budiman Minasny, Alex B. McBratney   +2 more
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Digital Soil Mapping

2010
Digital Soil Mapping is the creation and the population of a geographically referenced soil database. It is generated at a given resolution by using field and laboratory observation methods coupled with environmental data through quantitative relationships.
Boettinger, J.L., Howell, D.W., Moore, A.M., Hartemink, A.E., Kienast-Brown, S.   +4 more
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Efficiency Comparison of Conventional and Digital Soil Mapping for Updating Soil Maps

Soil Science Society of America Journal, 2012
This study compared the efficiency of geostatistical digital soil mapping (DSM) with conventional soil mapping (CSM) for updating soil class and property maps of a cultivated peatland in the Netherlands. For digital soil class mapping, the generalized linear geostatistical model was used.
Kempen, B., Brus, D.J., Stoorvogel, J.J., Heuvelink, G.B.M., de Vries, F.   +4 more
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Digital soil mapping of soil burn severity

Soil Science Society of America Journal
Abstract Fire alters soil hydrologic properties leading to increased risk of catastrophic debris flows and post‐fire flooding. As a result, US federal agencies map soil burn severity (SBS) via direct soil observation and adjustment of rasters of burned area reflectance. We developed a unique application of digital
Stewart G. Wilson, Samuel Prentice
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Digital Mapping of Soil Carbon

2013
Abstract There is a global demand for soil data and information for food security and global environmental management. There is also great interest in recognizing the soil system as a significant terrestrial sink of carbon. The reliable assessment of soil carbon (C) stocks is of key importance for soil conservation and in mitigation strategies for ...
Budiman Minasny, Alex B. McBratney, Brendan P. Malone, Ichsani Wheeler   +3 more
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Challenges to Digital Soil Mapping

2008
Digital Soil Mapping to capture or determine categorical or property information has undergone a tremendous increase in capability and application during the past decade. Many successful technologies have been developed through research activities worldwide, including generalized linear models, classification and regression trees, neural networks ...
J.W. Hempel, R.D. Hammer, A.C. Moore, J.C. Bell, J.A. Thompson, M.L. Golden   +5 more
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