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Communication Dans Un Congrès Année : 2008

Assessment and monitoring of soil conditions using indexes based on near infrared reflectance (NIR) spectroscopy

Résumé

Soil degradation processes have dramatically increased in their extent and intensity over the last decades. Progressively, actions have been taken in order to evaluate and reduce the major threats that have already wreaked havoc on soil conditions. Efficient and standardized monitoring of soil conditions is thus required but soil quality research is facing an important technological challenge because of the number of properties involved in soil quality. The objective of the present review is to examine critically the suitability of near infrared reflectance spectroscopy (NIRS) as a tool for soil quality assessment. We first detail the soil quality-related parameters (chemical, physical and biological) that can be predicted with NIRS through laboratory measurements. The ability of imaging NIRS (airborne or satellite) for mapping a minimum data set of soil quality is also discussed. Then we review the most recent research using soil reflectance spectra as an integrated measure of soil quality, from global site classification to the prediction of specific soil quality indices. We conclude that imaging NIRS enables the direct mapping of some soil properties and soil threats, but that further developments to solve several technological limitations identified are needed before it can be used for soil quality assessment. The robustness of laboratory NIRS for soil quality assessment allows its implementation in soil monitoring networks. However, its routine use requires the development of international soil spectral libraries that should become a priority for soil quality research.
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Dates et versions

halshs-00627735 , version 1 (29-09-2011)

Identifiants

  • HAL Id : halshs-00627735 , version 1
  • PRODINRA : 214088

Citer

Lauric Cécillon, Bernard Barthès, Cécile Gomez, Ertlen Damien, Valérie Génot, et al.. Assessment and monitoring of soil conditions using indexes based on near infrared reflectance (NIR) spectroscopy. Colloque Eurosoil, Aug 2008, Vienne, Austria. pp.103 (résumé). ⟨halshs-00627735⟩
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