Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana

By David J. Brown, R. S. Bricklemyer, P. Miller. 2005

249 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Accurate and Precise Prediction of Soil Properties from a Large Mid-Infrared Spectral Library (2019, background): “Some difficulties appear when calibration models derived from large and spatially diverse spectral libraries are used to predict soil properties of a small area [22].”
Sampling optimal calibration sets in soil infrared spectroscopy (2014, background): “In this sense, Brown et al. (2005) indicated that the calibration sampling strategy is crucial when the number of samples that can be included in the calibration set is restricted.”
Assessment of soil organic carbon at local scale with spiked NIR calibrations: effects of selection and extra‐weighting on the spiking subset (2014, result): “This procedure usually increases the accuracy of the predictions in the rest of the samples from the target site (Brown et al., 2005; Sankey et al., 2008; Wetterlind & Stenberg, 2010).”