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Potential of proximal hyperspectral imaging to estimate the spatial and temporal variability of soil microbial respiration
- Source :
- 16th International Conference on Near Infrared Spectroscopy, 16th International Conference on Near Infrared Spectroscopy, Jun 2013, La Grande-Motte, France. 5 p
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- 16th International Conference on Near Infrared Spectroscopy, La Grande-Motte, FRA, 02-/06/2013 - 07/06/2013; International audience; 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.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 16th International Conference on Near Infrared Spectroscopy, 16th International Conference on Near Infrared Spectroscopy, Jun 2013, La Grande-Motte, France. 5 p
- Accession number :
- edsair.dedup.wf.001..89e972bd1e40f5c81af61d3f845b8598