@article{fdi:010063693,
  title = {{A}nalysis of the uncertainties affecting predictions of clay contents from {VNIR}/{SWIR} hyperspectral data},
  author = {{G}omez, {C}{\'e}cile and {D}rost, {A}. {P}. {A}. and {R}oger, {J}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{V}isible, {N}ear-{I}nfrared and {S}hort {W}ave {I}nfrared ({VNIR}/{SWIR}, 350-2500 nm) hyperspectral imaging spectroscopy can be used to develop maps of estimated soil properties. {T}he performance of the estimations obtained from regression models is usually assessed with figures of merit such as the standard error of calibration, the standard error of prediction or the ratio of performance deviation. {A}ll of these parameters are estimated during the model building and validation stages to evaluate the global model performance. {B}eyond these global indicators, the evaluation of the uncertainty that affects predictions is a major trend in analytical chemistry and chemometrics but not yet in hyperspectral imagery. {S}everal approximate expressions and resampling methods have been proposed to estimate the prediction uncertainty when using multivariate calibrations from laboratory spectra. {B}ased on these propositions, this paper studies a process of mapping and analyzing the uncertainties that affect soil property predictions obtained from {VNIR}/{SVVIR} airborne data using several methods. {A}n application to real {VNIR}/{SVVIR} airborne data of clay content was used to compare the methods. {T}he different cases yielded insights into the sources of uncertainty and showed that uncertainty analysis can guide the user to better sampling, better calibration and ultimately better mapping.},
  keywords = {{A}irborne hyperspectral imagery ; {VNIR}/{SWIR} spectroscopy ; {U}ncertainty ; {M}ultivariate calibration ; {C}lay content mapping ; {TUNISIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {156},
  numero = {},
  pages = {58--70},
  ISSN = {0034-4257},
  year = {2015},
  DOI = {10.1016/j.rse.2014.09.032},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063693},
}