Measurement and Monitoring Soil Carbon

Precision-error


Accuracy versus precision

Soil carbon should be measured as accurate and precise as possible. The concept of accuracy and precision is illustrated in Figure 1,2 by a simple example.

Figure 1. Accuracy is the proximity of measurement results to the true value; precision, the repeatability, or reproducibility of the measurement (http://en.wikipedia.org/wiki/Accuracy_and_precision).

 

 

Figure 2. Soil carbon measurement should target high precision and accurate measurements (Case 1). Case 1: all measurements are close to the true value  (accurate) and all measurements are close to each other or less variation among measurements  (precise); Case 2: the measurement is precise but all measurements are far from the actual value (center) which makes it biased and inaccurate; Case 3: most measurements are reassembly close to the true value (accurate) but not precise; Case 4: all measurements far from the true value (less accurate) and there is high variation between measurements (less precise).

 

See table 1 for major sources of uncertainties in SOC measurement.
Table 1. Source of uncertainty in SOC measurement

Activity

Sources of uncertainty

Sampling 

 Sampling design (random, stratified random)

Sample size

SOC measurement

 

Natural variability (spatial)

Sample preparation (e.g. contamination, subsampling)

Lab method used (instrument resolution)

Human error

Field data collection (e.g. soil mass, volume)

SOC prediction using IR

Imported uncertainties  (from reference data)

Model (assumption)

Instrument and human errors

Mapping SOC

 

Covariates used

Image pre -processing (geometric and radiometric corrections)

Scale/resolution (e.g. farm vs landscape)

Model (assumption, strength)