Literature DB >> 28709056

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

Jannis Heil1, Xandra Michaelis2, Bernd Marschner2, Britta Stumpe3.   

Abstract

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

Year:  2017        PMID： 28709056     DOI： 10.1016/j.envpol.2017.06.086

Source DB:  PubMed          Journal:  Environ Pollut        ISSN： 0269-7491            Impact factor:   8.071


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  1 in total

1.  Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction.

Authors:  Chengqiang Li; Junxiao Wang; Liang Ge; Yujie Zhou; Shenglu Zhou
Journal:  Int J Environ Res Public Health       Date:  2022-06-24       Impact factor: 4.614
  1 in total

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