Proximal sensing in carbon farming
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Pierre-Philippe CLAUDE (France) | Polyor
07, 25
This is a very interesting topic. Proximal sensing of SOC/M could greatly reduce the analytical costs of carbon-farming’s MRV. That said, the greatest cost and error of CRCF plot-level methodologies are linked to soil sampling, not the analysis of such supposed soil samples, “samples” (sic) which statistically speaking are not samples since the field as a sampling unit is not homogeneous. This makes statistical inference impossible. Note also that conventional lab analyses – the “gold standard for SOC measurement” (sic) [of the sample, not the field] is notoriously inaccurate at the field level. This is a recurring and probably unsolvable problem in agricultural consultancy that Polyor SAS ( www.polyor.fr) tries to circumvent.