Do more detailed environmental covariates deliver more accurate soil maps

By A. Samuel-Rosa, Gerard B. M. Heuvelink, G. Vasques, L. Anjos. 2015

116 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/c25f15e2e83cbb17d7854fe1691a5a926258f83a

How researchers see this paper

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

In Artificial Intelligence

1. Bas Kempen
2. Gerard B. M. Heuvelink
3. M. E. Angelini

In Ecology

1. Bas Kempen
2. Gerard B. M. Heuvelink

In Environmental Engineering

1. Bas Kempen
2. M. E. Angelini
3. Gerard B. M. Heuvelink
4. Tomislav Hengl
5. Yones Khaledian
6. Bradley A. Miller

Citations in the corpus

• Multivariate mapping of soil with structural equation modelling (2017, background): “Incorporating the temporal variation of remote sensing data can increase the resolution of these factors and further increase their predictive power (Samuel-Rosa et al., 2015).”