Estimation of soil organic matter by geostatistical methods: Use of auxiliary information in agricultural and environmental assessment

By C. Piccini, A. Marchetti, R. Francaviglia. 2014

108 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/9f03af93b50f524b2ea496025eb97d705e0fc8de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Q. Tang
2. Wei Luo
3. Pengtao Guo
4. Raphaël Huser
5. Zhi-Wei Liu
6. Luigi Lombardo
7. Mao-fen Li
8. Zhaomu Lin

In Soil Science

1. Raphaël Huser
2. A. C. Davison
3. Emeric Thibaud

Citations in the corpus

• Modeling soil organic carbon with Quantile Regression: Dissecting predictors' effects on carbon stocks (2017, background): “Examples can be found [Hoffmann et al., 2014, Piccini et al., 2014] with excellent performances reported.”
• Digital mapping of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach (2015, methodology): “Distribution of soil organic matter is controlled by several environmental variables, such as climate, geological units, topography, vegetation, and land uses (Dai et al., 2014; Piccini et al., 2014; Zhang et al., 2012).”