Mapping soil organic carbon content over New South Wales, Australia using local regression kriging
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- 作者：P.D.S.N. Somarathna ; sanjeewani.pallegedaradewage@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; B.P. Malone ; B. Minasny
- 关键词：Carbon sequestration ; Soil organic carbon ; Multiple linear regression kriging ; Digital soil mapping ; Luvisols ; Vertisols ; Plinthosols
- 刊名：Geoderma Regional
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：7
- 期：1
- 页码：38-48
- 全文大小：2595 K
文摘
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Performance of SOC mapping models depends on model type, depth and mapping extent.
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MLR, Cubist and SVR models are equally sensitive to local conditions.
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Area specific unaccounted covariates could partly explain this local sensitivity.
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A hybrid moving window approach can improve the accuracy and efficiency of DSM.