Gobrecht A., Gorretta N., Chevallier Tiphaine, Benoit M., Roger J.M., Barthès Bernard. (2013). 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. Montpellier : IRSTEA, 5 p. multigr. NIR 2013 : International Conference on Near Infrared Spectroscopy, 16., La Grande Motte (FRA), 2013/06/02-07.
Titre du document
Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration
Année de publication
2013
Type de document
Colloque
Auteurs
Gobrecht A., Gorretta N., Chevallier Tiphaine, Benoit M., Roger J.M., Barthès Bernard
In
International conference on near infrared spectroscopy : picking up good vibrations
Source
Montpellier : IRSTEA, 2013,
5 p. multigr.
Colloque
NIR 2013 : International Conference on Near Infrared Spectroscopy, 16., La Grande Motte (FRA), 2013/06/02-07
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.
Plan de classement
Techniques d'analyse et approches méthodologiques [068ANASOL]
Descripteurs
SOL ; PROPRIETE PHYSICOCHIMIQUE ; SPECTROSCOPIE ; SPECTROMETRIE INFRAROUGE ; MICROBIOLOGIE DU SOL ; RESPIRATION ; VARIATION SPATIALE ; VARIATION TEMPORELLE
