Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra

Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra

Soil spectroscopy has experienced a tremendous increase in soil property characterisation, and can be used not only in the laboratory but also from the space (imaging spectroscopy). Partial least squares (PLS) regression is one of the most common approaches for the calibration of soil properties usi...

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Bibliographic Details
Main Authors: Liu, Lanfa, Ji, Min, Buchroithner, Manfred F.
Other Authors: Molecular Diversity Preservation International (MDPI),
Format: Article
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2018
Subjects:
PLS
Gradienten-verstärkte Entscheidungsbäume
Bodenspektroskopie
LUCAS
TU Dresden
Publikationsfond
gradient-boosted decision trees
soil spectroscopy
Publishing Fund
ddc:620
rvk:ZI 0001
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232271
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232271
http://www.qucosa.de/fileadmin/data/qucosa/documents/23227/remotesensing-09-01299.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232271
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-232271
http://www.qucosa.de/fileadmin/data/qucosa/documents/23227/remotesensing-09-01299.pdf

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