Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration

Potentiel de l'imagerie hyperspectrale de proximité pour l'estimation de la variabilité spatiale et temporelle de la respiration microbienne des sols

Alexia Gobrecht (1) , N. Gorretta (1) , T. Chevallier (2) , M. Benoit (2) , J.M. Roger (1) , B. Barthès (2)

1 UMR ITAP - Information – Technologies – Analyse Environnementale – Procédés Agricoles
2 Dynamiques environnementales entre forêt, agriculture et biodiversité : des pratiques locales sur la nature aux politiques de conservation

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.

Mots clés: SPECTROSCOPIE; PROCHE INFRAROUGE; VARIABILITE SPATIALE; VARIABILITE TEMPORELLE; SOL; RESPIRATION; IMAGE HYPERSPECTRALE; MICROBIOLOGIE

Domaines: Sciences de l'environnement

Alexia Gobrecht, N. Gorretta, T. Chevallier, M. Benoit, J.M. Roger, et al.. Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration. 16th International Conference on Near Infrared Spectroscopy, Jun 2013, La Grande-Motte, France. 5 p. ⟨hal-01082918⟩