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From Laboratory to Proximal Sensing Spectroscopy for Soil Organic Carbon Estimation—A Review

Author

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  • Theodora Angelopoulou

    (Centre of Research and Technology-Hellas (CERTH), Institute for Bio-Economy and Agri-Technology (iBO), Thessaloniki, 57001 Thermi, Greece
    Laboratory of Remote Sensing, Spectroscopy, and GIS, Department of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Athanasios Balafoutis

    (Centre of Research and Technology-Hellas (CERTH), Institute for Bio-Economy and Agri-Technology (iBO), Thessaloniki, 57001 Thermi, Greece)

  • George Zalidis

    (Laboratory of Remote Sensing, Spectroscopy, and GIS, Department of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
    Interbalkan Environment Center (i-BEC), 18 Loutron Str., 57200 Lagadas, Greece)

  • Dionysis Bochtis

    (Centre of Research and Technology-Hellas (CERTH), Institute for Bio-Economy and Agri-Technology (iBO), Thessaloniki, 57001 Thermi, Greece)

Abstract

Rapid and cost-effective soil properties estimations are considered imperative for the monitoring and recording of agricultural soil condition for the implementation of site-specific management practices. Conventional laboratory measurements are costly and time-consuming, and, therefore, cannot be considered appropriate for large datasets. This article reviews laboratory and proximal sensing spectroscopy in the visible and near infrared (VNIR)–short wave infrared (SWIR) wavelength region for soil organic carbon and soil organic matter estimation as an alternative to analytical chemistry measurements. The aim of this work is to report the progress made in the last decade on data preprocessing, calibration approaches, and system configurations used for VNIR-SWIR spectroscopy of soil organic carbon and soil organic matter estimation. We present and compare the results of over fifty selective studies and discuss the factors that affect the accuracy of spectroscopic measurements for both laboratory and in situ applications.

Suggested Citation

  • Theodora Angelopoulou & Athanasios Balafoutis & George Zalidis & Dionysis Bochtis, 2020. "From Laboratory to Proximal Sensing Spectroscopy for Soil Organic Carbon Estimation—A Review," Sustainability, MDPI, vol. 12(2), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:443-:d:305854
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    References listed on IDEAS

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    1. Maria G. Lampridi & Claus G. Sørensen & Dionysis Bochtis, 2019. "Agricultural Sustainability: A Review of Concepts and Methods," Sustainability, MDPI, vol. 11(18), pages 1-27, September.
    2. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
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    5. Antoine Stevens & Marco Nocita & Gergely Tóth & Luca Montanarella & Bas van Wesemael, 2013. "Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-13, June.
    6. Saskia Visser & Saskia Keesstra & Gilbert Maas & Margot de Cleen & Co Molenaar, 2019. "Soil as a Basis to Create Enabling Conditions for Transitions Towards Sustainable Land Management as a Key to Achieve the SDGs by 2030," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
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    1. George Kyriakarakos & Theodoros Petropoulos & Vasso Marinoudi & Remigio Berruto & Dionysis Bochtis, 2024. "Carbon Farming: Bridging Technology Development with Policy Goals," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    2. Charisios Achillas & Dionysis Bochtis, 2020. "Toward a Green, Closed-Loop, Circular Bioeconomy: Boosting the Performance Efficiency of Circular Business Models," Sustainability, MDPI, vol. 12(23), pages 1-6, December.
    3. Snapp, Sieglinde, 2022. "Embracing variability in soils on smallholder farms: New tools and better science," Agricultural Systems, Elsevier, vol. 195(C).
    4. Efthymios Rodias & Eirini Aivazidou & Charisios Achillas & Dimitrios Aidonis & Dionysis Bochtis, 2020. "Water-Energy-Nutrients Synergies in the Agrifood Sector: A Circular Economy Framework," Energies, MDPI, vol. 14(1), pages 1-17, December.
    5. Massimo Conforti & Gabriele Buttafuoco, 2022. "Insights into the Effects of Study Area Size and Soil Sampling Density in the Prediction of Soil Organic Carbon by Vis-NIR Diffuse Reflectance Spectroscopy in Two Forest Areas," Land, MDPI, vol. 12(1), pages 1-16, December.
    6. Chaoqun Chen & Qigang Jiang & Zhenchao Zhang & Pengfei Shi & Yan Xu & Bin Liu & Jing Xi & ShouZhi Chang, 2020. "Hyperspectral Inversion of Petroleum Hydrocarbon Contents in Soil Based on Continuum Removal and Wavelet Packet Decomposition," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    7. Konstantinos Karyotis & Theodora Angelopoulou & Nikolaos Tziolas & Evgenia Palaiologou & Nikiforos Samarinas & George Zalidis, 2021. "Evaluation of a Micro-Electro Mechanical Systems Spectral Sensor for Soil Properties Estimation," Land, MDPI, vol. 10(1), pages 1-16, January.
    8. Francisco Javier Esquivel & José Antonio Esquivel & Antonio Morgado & José L. Romero-Béjar & Luis F. García del Moral, 2022. "Preprocessing of Spectroscopic Data Using Affine Transformations to Improve Pattern-Recognition Analysis: An Application to Prehistoric Lithic Tools," Mathematics, MDPI, vol. 10(22), pages 1-14, November.
    9. Nerea Ferrando Jorge & Joanna Clark & Macarena L. Cárdenas & Hilary Geoghegan & Vicky Shannon, 2021. "Measuring Soil Colour to Estimate Soil Organic Carbon Using a Large-Scale Citizen Science-Based Approach," Sustainability, MDPI, vol. 13(19), pages 1-17, October.
    10. Lwandile Nduku & Cilence Munghemezulu & Zinhle Mashaba-Munghemezulu & Wonga Masiza & Phathutshedzo Eugene Ratshiedana & Ahmed Mukalazi Kalumba & Johannes George Chirima, 2024. "Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties," Land, MDPI, vol. 13(3), pages 1-26, February.
    11. Stanisław Gruszczyński & Wojciech Gruszczyński, 2022. "Assessing the Information Potential of MIR Spectral Signatures for Prediction of Multiple Soil Properties Based on Data from the AfSIS Phase I Project," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    12. Javier Reyes & Mareike Ließ, 2023. "On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon," Agriculture, MDPI, vol. 13(8), pages 1-15, August.

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