Abstract
The multidisciplinary DIGISOIL consortium intends to integrate and improve in situ proximal measurement technologies for assessing soil properties and soil degradation indicators, moving from the sensing technologies themselves to their integration and application in (digital) soil mapping (DSM). The core objective of the project is to explore and exploit new capabilities of advanced geophysical technologies for answering this societal demand. To this aim, DIGISOIL addresses four issues covering technological, soil science, and economic aspects: (i) development and validation of hydrogeophysical technologies and integrated pedogeophysical inversion techniques; (ii) the relation between geophysical parameters and soil properties; (iii) the integration of derived soil properties for mapping soil functions and soil threats; and (iv) the evaluation, standardisation, and industrialisation of the proposed methodologies, including technical and economic studies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Framework Program 7.
References
Ben-Dor E, Banin A (1995) Near infrared analysis (NIRA) as a rapid method to simultaneously evaluate several soil properties. Soil Sci Soc Am J 59:364–372
Besson A, Cousin I, Bourennane H, Pasquier C, Nicoullaud B, Richard G, King D (2008) Discretization of spatial and temporal soil water variability into homogeneous zones based on electrical resistivity measurements at the field scale. EUROSOIL congress 2008, Soil, Society, Environment, 25-29/08/2008, Vienna
Corwin DL, Lesch SM, Oster JD, Kaffka SR (2006) Monitoring management-induced spatio-temporal changes in soil quality through soil sampling directed by apparent electrical conductivity. Geoderma 131:369–387
Freibauer A, Rounsevell MDA, Smith P, Verhagen J (2004) Carbon sequestration in the agricultural soils of Europe. Geoderma 122:1–23
Friedman SP (2005) Soil properties influencing apparent electrical conductivity: a review. Comput Electron Agric 46:45–70
Grandjean G (2006) A seismic multi-approach method for characterizing contaminated sites. J Appl Geophys 58:87–98
Keller GV, Frischknecht FC (1966) Electrical methods in geophysical prospecting. Pergamon, Oxford
Lambot S, Slob EC, van den Bosch I, Stockbroeckx B, Vanclooster M (2004) Modeling of ground-penetrating radar for accurate characterization of subsurface electric properties. IEEE Trans Geosci Remote Sens 42:2555–2568
Lambot S, Slob EC, Vanclooster M, Vereecken H (2006) Closed loop GPR data inversion for soil hydraulic and electric property determination. Geophys Res Lett 33:L21405, doi:10.1029/2006GL027906
Panissod C, Dabas M, Jolivet A, Tabbagh A (1997) A novel mobile multipole system (MUCEP) for shallow (0–3 m) geoelectrical investigation: the ‘Vol-de-canards’ array. Geophys Prospect 45:983–1002
Samouëlian A, Cousin I, Richard G, Tabbagh A, Bruand A (2003) Electrical resistivity imaging for detecting soil cracking at the centimetric scale. Soil Sci Soc Am J 67:1319–1326
Sen PN, Goode PA, Sibbit, A (1988) Electrical conduction in clay bearing sandstones at low and high salinities. J Appl Phys 63:4832–4840
Shainberg I, Rhoades JD, Prather RJ (1980) Effect of ESP, cation exchange capacity and soil solution concentration on soil electrical conductivity. Soil Sci Soc Am J 44:469–473
Stevens A, van Wesemael B, Vandenschrieck G, Tychon B, Touré S (2006) Detection of carbon stock change in agricultural soils using spectroscopic techniques. Soil Sci Soc Am J 70:844–850
Tabbagh A, Dabas M, Hesse A, Panissod C (2000) Soil resistivity: a non-invasive tool to map soil structure horizonation. Geoderma 97:393–404
Viscarra Rossel RA, Walvoort D, McBratney AB, Janik L, Skjemstad J (2006) Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131:59–75
Viscarra Rossel RA, Taylor HJ, McBratney AB (2007) Multivariate calibration of hyperspectral gamma-ray energy spectra for proximal soil sensing. Eur J Soil Sci 58:343–353
Wilford J, Minty B (2006) The use of airborne gamma-ray imagery for mapping soils and understanding landscape processes. In: Lagacherie P, McBratney AB, Voltz M (eds) Digital soil mapping: an introductory perspective. Elsevier Science, Amsterdam, 600 pp
Acknowledgement
The DIGISOIL project is financed by the European Commission under the 7th Framework Program for Research and Technological Development, Area ‘Environment’, Activity 6.3 ‘Environmental Technologies’.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Grandjean, G. et al. (2010). DIGISOIL: An Integrated System of Data Collection Technologies for Mapping Soil Properties. In: Viscarra Rossel, R., McBratney, A., Minasny, B. (eds) Proximal Soil Sensing. Progress in Soil Science. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8859-8_7
Download citation
DOI: https://doi.org/10.1007/978-90-481-8859-8_7
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-8858-1
Online ISBN: 978-90-481-8859-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)