Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra

There is a great challenge in combining soil proximal spectra and remote sensing spectra to improve the accuracy of soil organic carbon (SOC) models. This is primarily because mixing of spectral data from different sources and technologies to improve soil models is still in its infancy. The first ob...

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Detalles Bibliográficos
Autores principales: Peng, Yi, Xiong, Xiong, Adhikari, Kabindra, Knadel, Maria, Grunwald, Sabine, Greve, Mogens Humlekrog
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640839/
https://www.ncbi.nlm.nih.gov/pubmed/26555071
http://dx.doi.org/10.1371/journal.pone.0142295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4640839/
https://www.ncbi.nlm.nih.gov/pubmed/26555071
http://dx.doi.org/10.1371/journal.pone.0142295

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