Exploiting soil spectroscopy in the VNIR-SWIR range to estimate soil organic carbon stock: what role can sampling density and spacing play?

Soil organic carbon stock (SOCS) is a key indicator of soil fertility, ecosystem functioning, and climate change mitigation, yet its direct measurement remains labor-intensive, time-consuming, and costly. Visible, near-infrared, and short-wave infrared (VNIR-SWIR) soil reflectance spectroscopy offe...

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Hlavní autoři:	Caterina Mazzitelli, Nunzio Romano, Eyal Ben-Dor, Lis Wollesen de Jonge, Cecilie Hermansen, Paolo Nasta
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PAGEPress Publications 2026-06-01
Edice:	Journal of Agricultural Engineering
Témata:	Soil reflectance spectra partial least square regression random forest artificial neural network pre-processing method
On-line přístup:	https://www.agroengineering.org/jae/article/view/1995
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