Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)
Open accessAbstract
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. Résumé Evaluation et surveillance de la qualité des sols par spectroscopie proche infrarouge (SPIR) Les processus de dégradation des sols ont fortement augmenté au cours des dernières décennies. Des mesures sont progressivement mises en place afin d’évaluer et de limiter l’impact des principales menaces qui ont déjà provoqué une diminution préoccupante de la qualité des sols. Des méthodes efficaces et standardisées de suivi de la qualité des sols sont donc indispensables, mais les nombreuses propriétés impliquées dans la qualité des sols compliquent son évaluation rigoureuse. L’objectif de cette revue est d’examiner le potentiel de la spectroscopie proche infrarouge (SPIR) comme outil rapide de caractérisation de la qualité des sols. Nous dressons d’abord l’inventaire des propriétés du sol liées à sa qualité qui sont prédictibles par des mesures SPIR en laboratoire. Le potentiel de l’imagerie embarquée SPIR (satellite, avion) est également abordé. Nous réalisons ensuite une synthèse des applications utilisant la réflectance spectrale des sols comme mesure intégrée de leur qualité, depuis la classification de sites selon leur état de dégradation jusqu’à la prédiction d’indices spécifiques de qualité du sol. Nous concluons que l’imagerie SPIR permet de cartographier quelques propriétés et menaces pesant sur les sols, mais les limites technologiques relevées exigent d’importants développements pour en faire un outil robuste d’évaluation de la qualité des sols. La fiabilité de la technique SPIR par mesures en laboratoire permet sa mise en œuvre rapide dans les réseaux de mesures de la qualité des sols. Toutefois, son utilisation en routine nécessitera le développement de librairies spectrales internationales, qui devrait constituer une des priorités de recherche sur la qualité des sols.
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Soil sensing approaches such as spectroscopic techniques offer the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way.
“soil sensing approaches such as spectroscopic techniques, e.g. near-infrared spectroscopy and remote sensing, o ff er the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way”
From Soil quality – A critical review (2018) · cites this paper as Cecillon et al., 2009
The Introduction describes NIRS as rapid and cost-effective, and the Conclusions report good laboratory NIRS predictions for many chemical and some physical and biological soil properties. The Conclusions limit imaging NIRS, a remote-sensing approach, to predictions of some chemical properties and note limitations to its routine use; the broader implication that remote sensing can readily measure all three types is not supported. (LLM, conf=0.84)
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What Does the Raw Material Have to Say?
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Leading concepts towards vital soil
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Chapter 1 Leading concepts towards vital soil
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Self-citationChapter 10 Ecological soil monitoring and quality assessment
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Flagged first, then by citations
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Soil quality – A critical review
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Sensor data fusion for soil health assessment
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- Authors
- Cécillon, L., Barthès, B. G., Gomez, C., Ertlen, D., Genot, V., Hedde, M., Stevens, A., & Brun, J. J.
- Affiliations
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Institut Agro Montpellier (FR)
- Centre National de la Recherche Scientifique (FR)
- Gembloux Agro-Bio Tech (BE)
- UCLouvain (BE)
- Corresponding author
- Cécillon, L.
- Venue
- European Journal of Soil Science
- Publisher
- Wiley
- Published
- 2009-09-15
- Volume
- 60
- Issue
- 5
- Pages
- 770-784
- ISSN
- 1351-0754 (ISSN-L)
- 1365-2389
- OpenAlex
- W2081681770
- Cited by
- 247
- References
- 116
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 12 · 2023: 13 · 2022: 17 · 2021: 26 · 2020: 27 · 2019: 15 · 2018: 14 · 2017: 16 · 2016: 17 · 2015: 11 · 2014: 19 · 2013: 17 · 2012: 13
- FWCI
- 9.61
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- European Journal of Soil Science (publishedVersion)
- HAL (submittedVersion, other-oa)
- HAL (submittedVersion)
- Digital Access to Libraries (submittedVersion)
- Cemadoc (Cemagref / IRSTEA) (submittedVersion)
- Open Repository and Bibliography (University of Liège) (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Science and Environmental Management
- Keywords
- soil quality assessment, near-infrared reflectance spectroscopy, soil degradation, soil quality index, soil spectral library, soil property prediction, soil monitoring network
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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