Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration International conference on near infrared spectroscopy : picking up good vibrations Gobrecht, A. Gorretta, N. /Chevallier, Tiphaine Benoit, M. Roger, J.M. /Barthès, Bernard SOL PROPRIETE PHYSICOCHIMIQUE SPECTROSCOPIE SPECTROMETRIE INFRAROUGE MICROBIOLOGIE DU SOL RESPIRATION VARIATION SPATIALE VARIATION TEMPORELLE The objective of this study was to evaluate the potential of proximal hyperspectral imaging to (i) calibrate a model to predict soil respiration under controlled conditions, and (ii) to determine both spatial and temporal variations in soil respiration at a hundreds of micrometer scale. Calibration models based on spectra and respiration measured on standards were built then applied on hyperspectral images acquired on soil mesocosms (400 cm²), in order to predict their respiration pixel by pixel (0.2 mm²). The quality of the models was acceptable but their application to produce prediction maps faced some technical problems due to hyperspectral technology. IRSTEA 2013 text https://www.documentation.ird.fr/hor/fdi:010063290 fdi:010063290 Gobrecht A., Gorretta N., Chevallier Tiphaine, Benoit M., Roger J.M., Barthès Bernard. Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration. In : . International conference on near infrared spectroscopy : picking up good vibrations IRSTEA, 2013, 5 multigr. NIR 2013 : International Conference on Near Infrared Spectroscopy, 16., La Grande Motte (FRA), 2013/06/02-07 EN