|   You are currently reading our legacy website. You can view our current projects here:  | 
      
 
  
            OUR APPROACH
             We have proposed a scheme for the use of spectral 
              libraries as a tool for building risk-based approaches to soil evaluation 
              (Shepherd and Walsh, 2002). The first step is to widely sample the 
              soils from a target area and scan the samples through the spectrometer. 
              The ability to rapidly and non-destructively characterize soils 
              using reflectance spectroscopy permits thorough sampling of the 
              variation within a target population of soils. The spectral data 
              space is then systematically sampled to provide a small subset of 
              soils for further characterization. Soil properties or attributes 
              of soil functional capacity are then measured only on this selection 
              of soils. These attributes can include laboratory measurements (e.g. 
              aggregate stability) or field measurements (e.g. infiltration rate, 
              crop response to phosphorus application). 
           
             
            THE PROJECT
            Calibrations are made between the soil attributes 
              and the reflectance spectra. If, on the basis of cross-validation 
              or holdout validation methods, calibrations are found to be insufficiently 
              accurate for user requirements, the calibration sample size can 
              be increased. The 
              resultant calibrations between soil functional attributes and soil 
              reflectance are then used to predict the soil functional attributes 
              for the entire soil library and for new samples that belong to the 
              same population as the library soils. Poorly described soils, whose 
              spectra are not representative of the library spectra, are further 
              characterized and added to the calibration library. In this way 
            the value of the library is iteratively increased. 
            Conventional assessments of soil capacity to perform 
        specific production, engineering or environmental functions rely on local 
        calibration of observations on soil functional attributes to measured 
        soil properties. However, soil analyses are expensive and dense sampling 
        is required to adequately characterize spatial variability of an area, 
        making broad-scale quantitative evaluation difficult. Infrared reflectance 
        spectroscopy, especially near infrared spectroscopy (NIR), is now routinely 
        used for rapid non-destructive characterization of a wide range of materials 
        in industry. Although soil scientists have investigated reflectance spectroscopy 
        for several decades, the technology has not been widely taken up and routinely 
        applied in soil studies. 
          
           
             
              
 
   |