Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression

Article

Abstract: Background and aims: The quantitative retrieval of soil organic carbon (SOC) storage, particularly f

Palabras claves:

Carbon stock mapping, Ecuadorian paramo, Gaussian processes regression, Sentinel-2, Soil organic carbon (SOC), vegetation indices

Autores:

Carlos Arturo Jara Santillán, Carmen Omaira Márquez, CO Marquez Pereira, Delegido J., Johanna Elizabeth Ayala-Izurieta, Rivera-Caicedo J.P., V. J. García, Van Wittenberghe S., Verrelst J.

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