Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data-Reference-Cited by-同舟云学术

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Random forest–based estimation of heavy metal concentration in agricultural soils with hyperspectral sensor data

Published:2019-06-18 Issue:7 Volume:191 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Tan Kun^ORCID,Ma Weibo,Wu Fuyu,Du Qian

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s10661-019-7510-4.pdf

Reference58 articles.

1. Aguerssif, N., Benamor, M., Kachbi, M., & Draa, M. T. (2008). Simultaneous determination of Fe (III) and Al(III) by first-derivative spectrophotometry and partial least-squares (PLS-2) method – application to post-haemodialysis fluids. Journal of Trace Elements in Medicine & Biology Organ of the Society for Minerals & Trace Elements, 22(3), 175–182.

2. Archer, K. J., & Kimes, R. V. (2008). Empirical characterization of random forest variable importance measures. Computational Statistics & Data Analysis, 52(4), 2249–2260.

3. Asadzadeh, S., & Roberto, D. S. F., Carlos (2016). A review on spectral processing methods for geological remote sensing. International Journal of Applied Earth Observation & Geoinformation, 47, 69-90.

4. Balabin, R. M., & Lomakina, E. I. (2011). Support vector machine regression (SVR/LS-SVM)--an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data. Analyst, 136(8), 1703–1712.

5. Balestrieri, C., Colonna, G., Giovane, A., Irace, G., & Servillo, L. (1978). Second-derivative spectroscopy of proteins. A method for the quantitative determination of aromatic amino acids in proteins. European Journal of Biochemistry, 90(3), 433–440.

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