A spatially explicit scheme for tracking and validating annual landscape scale changes in soil carbon

Yadav, Vineet; Malanson, George P.

doi:10.1016/j.apgeog.2012.08.007

Cited by 4 publications

(1 citation statement)

References 52 publications

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“…Detection of soil carbon evolution has a particular value for policy intervention and for carbon based emissions trading [32], so in situ , time-efficient and cost-effective, C measurement methods will be developed to facilitate the prediction on stocks through the on-going generation of spectral libraries from diverse soils and climatic conditions for the intention of validation [33]. The traditional methodologies used for measuring soil carbon content and other soil properties are time-consuming, analytically expensive, mainly sample-destructive and costly.…”

Section: Discussionmentioning

confidence: 99%

DRIFTS Sensor: Soil Carbon Validation at Large Scale (Pantelleria, Italy)

Saiano

Oddo

Scalenghe

et al. 2013

Sensors

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A fast and accurate measurement of soil carbon is needed in current scientific issues. Today there are many sensors suitable for these purposes, but choosing the appropriate sensor depends on the spatial scale at which the studies are conducted. There are few detailed studies that validate these types of measures allowing their immediate use. Here it is validated the quick use of a sensor in execution at Pantelleria, chosen for size, use and variability of the parameter measured, to give an operational tool for carbon stocks studies. The DRIFT sensor used here has been validated in the first 60 cm of the soil of the whole island, and it has shown predictivity higher than 90%.

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Section: Discussionmentioning

confidence: 99%