Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran

By Mohammad Reza Pahlavan Rad, Norair Toomanian, F. Khormali, C. Brungard, C. B. Komaki, Patrick Bogaert. 2014

126 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/8cd69679a28d8e139f6ccd71e562f51adbb11c9e

How researchers see this paper

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

In Ecology

1. THOMAS C. EDWARDS JR.

In Environmental Engineering

1. THOMAS C. EDWARDS JR.
2. J. Boettinger
3. Michael C. Duniway
4. C. Brungard
5. S. Wills
6. Budiman Minasny
7. Alex B. McBratney

In Management, Monitoring, Policy and Law

1. C. Brungard

Citations in the corpus

• Machine learning for predicting soil classes in three semi-arid landscapes (2015, methodology): “This approach has been taken by others (Pahlavan Rad et al., 2014), but we 519 decided against doing so, because we suspected that classes with few observations might be 520 topographically and spectrally distinct and thus be accurately predicted.”