The power of Random Forest for the identification and quantification of technogenic substrates in urban soils on the basis of DRIFT spectra

Environ Pollut. 2017 Nov:230:574-583. doi: 10.1016/j.envpol.2017.06.086. Epub 2017 Jul 12.

Authors

Jannis Heil¹, Xandra Michaelis², Bernd Marschner², Britta Stumpe³

Affiliations

¹ Department of General Geography/Human-Environment Research, Institute of Geography, University of Wuppertal, 42119 Wuppertal, Germany. Electronic address: jheil@uni-wuppertal.de.
² Department of Soil Science/Soil Ecology, Institute of Geography, Ruhr-University Bochum, 44780 Bochum, Germany.
³ Department of General Geography/Human-Environment Research, Institute of Geography, University of Wuppertal, 42119 Wuppertal, Germany.

PMID: 28709056
DOI: 10.1016/j.envpol.2017.06.086

No abstract available

Keywords: Data mining; Diffuse reflectance spectroscopy; Random Forest; Technogenic substrates; Urban soils.