Farm-scale soil carbon auditing
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- 作者：J.J. de Gruijter ; jaap.degruijter@wur.nl" class="auth_mail" title="E-mail the corresponding author ; A.B. McBratney alex.mcbratney@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; B. Minasny budiman.minasny@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; I. Wheeler ichsani.wheeler@gmail.com" class="auth_mail" title="E-mail the corresponding author ; B.P. Malone brendan.malone@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author ; U. Stockmann uta.stockmann@sydney.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Soil carbon auditing ; Stratified random sampling ; Spatial stratification ; Prediction error ; Map uncertainty ; Value Of Information
- 刊名：Geoderma
- 出版年：2016
- 出版时间：1 March 2016
- 年：2016
- 卷：265
- 期：Complete
- 页码：120-130
- 全文大小：1105 K
文摘
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Efficient soil carbon auditing employing carbon maps from remote sensing data
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Optimization of stratified random sampling design
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Farmer's profit by carbon sequestration is maximized via data value analysis.
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Stratification updating with first round sample data renders extra profit.