02384naa a2200253 a 450000100080000000500110000800800410001910000170006024501120007725000110018926000090020052015390020965300370174865300310178565300260181665300190184265300210186170000170188270000230189970000170192270000170193970000160195677301580197211252122016-06-30       2016    bl uuuu     u00u1 u    #d1 aSILVA, E. B.  aEstimating Soil Texture from a Limited Region of the Visible/Near-Infrared Spectrum.h[electronic resource]  a1. Ed.  c2016  aSoil particle size is an attribute of fundamental importance when defining soil horizons. Proximal soil sensors can facilitate the acquisition of a larger amount of soil data using a faster and less-laborious technique. Thus, the objective of this study is to evaluate the capacity of a limited spectral acquisition region (325-1075 nm) for estimating soil texture. Soil samples were collected in the southwest part of Marombas river watershed located near the center of Santa Catarina state, south of Brazil. A total of 42 soil profiles were sampled according to the Globalsoilmap specification. A data set of 166 samples was used for model calibration and a different data set, 71 samples, was used for model validation. Diffuse reflectance spectroscopy of sieved samples (2 mm) was collected with a spectrometer FieldSpecHandHeld II (ASD Inc.). Savitzky-Golay second derivatives were calculated and used in partial least-squares regression modeling. Calibration and validation data setshowed statistically similar mean and variance. The root mean square error of prediction for sand, silt and clay content are 5.47, 5.18 and 5.39 g 100g-1, respectively. The R?? for validation are 0.30, 0.59 and 0.69 for the same attributes. Partitioning the model by depth did not improve the predictions significantly. The results show that estimating soil texture from a limited spectral region is promising and can contribute towards the development of cheaper spectrometers or infrared cameras that can be used for digital soil morphometrics.  adiffuse reflectance spectroscopy  adigital soil morphometrics  aproximal soil sensing  asoil attribute  asoil reflectance1 aCATEN, A. T.1 aDALMOLIN, R. S. D.1 aDOTTO, A. C.1 aSILVA, W. C.1 aGIASSON, E.  tIn: Hartemink, A. E.; Minasny, B. Progress in Soil Science: Digital Soil Morphometrics. 1. ed. Sui??a: Springer International Publishing, 2016. p. 73-87.