Estimation of soil properties at the field scale from satellite data: A comparison between spatial and non-spatial techniques

European Journal of Soil Science

Volumn 65, Issue 6, 2014, Pages 842-851

  Castaldi, F ^a   Casa, R ^a   Castrignano A ^b   Pascucci, S ^c   Palombo, A ^c   Pignatti, S ^c  

^a UNIVERSITY OF TUSCIA   (Italy)

^b ISTITUTO NAZIONALE DELLA NUTRIZIONE   (Italy)

^c CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84912097882     PISSN: 13510754     EISSN: 13652389     Source Type: Journal    
DOI: 10.1111/ejss.12202     Document Type: Article

References (42)

1. Acito, N., Diani, M. & Corsini, G. 2011. Subspace-based striping noise reduction in hyperspectral images. IEEE Transactions on Geoscience and Remote Sensing, 49, 1325-1342.
2. Bartholomeus, H.M., Schaepman, M.E., Kooistra, L., Stevens, A., Hoogmoed, W.B. & Spaargaren, O.S.P. 2008. Spectral reflectance based indices for soil organic carbon quantification. Geoderma, 145, 28-36.
3. Batjes, N.H. 1996. Total carbon and nitrogen in the soils of the world. European Journal of Soil Science, 47, 151-163.
4. Bellon-Maurel, V., Fernandez-Ahumada, E., Palagos, B., Roger, J.-M. & McBratney, A. 2010. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. TrAC Trends in Analytical Chemistry, 29, 1073-1081.
5. Ben-Dor, E., Patkin, K., Banin, A. & Karnieli, A. 2002. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel. International Journal of Remote Sensing, 23, 1043-1062.
6. Ben-Dor, E., Chabrillat, S., Demattê, J.A.M., Taylor, G.R., Hill, J., Whiting, M.L. et al. 2009. Using imaging spectroscopy to study soil properties. Remote Sensing of Environment, 113, S38-S55.
7. Berk, A., Bernstein, L.S., Anderson, G.P., Acharya, P.K., Robertson, D.C., Chetwynd, J.H. et al. 1998. MODTRAN cloud and multiple scattering upgrades with application to AVIRIS. Remote Sensing of Environment, 65, 367-375.
8. Boettinger, J.L., Howell, D.W., Moore, A.C., Hartemink, A.E. & Kienast-Brown, S. 2010. Digital Soil Mapping: Bridging Research, Production, and Environmental Application. Springer-Verlag, Dordrecht.
9. Casa, R., Castaldi, F., Pascucci, S., Basso, B. & Pignatti, S. 2013a. Geophysical and hyperspectral data fusion techniques for in-field estimation of soil properties. Vadose Zone Journal, 12, 1-10.
10. Casa, R., Castaldi, F., Pascucci, S., Palombo, A. & Pignatti, S. 2013b. A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing. Geoderma, 197-198, 17-26.
11. Cressie, N.A.C. 1993. Statistics for Spatial Data. Wiley & Sons, New York.
12. Folkman, M.A., Pearlman, J., Liao, L.B. & Jarecke, P.J. 2001. EO-1/hyperion hyperspectral imager design, development, characterization, and calibration. In: Proceedings SPIE 4151, Hyperspectral Remote Sensing of the Land and Atmosphere (eds W.L. Smith, Y. Yasouka ), pp. 40-51, Sendai, Japan.
13. Gomez, C., Viscarra Rossel, R.A. & McBratney, A.B. 2008. Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study. Geoderma, 146, 403-411.
14. Green, A.A., Berman, M., Switzer, P. & Craig, M.D. 1988. A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience & Remote Sensing, 26, 65-74.
15. Hartemink, A.E., McBratney, A.B. & Mendonca-Santos, M.L. (eds), 2008. Digital Soil Mapping with Limited Data. Springer, Berlin, Germany.
16. Houborg, R., Anderson, M., Gao, F., Schull, M. & Cammalleri, C. 2012. Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements. In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 7302-7305. IEEE, Piscataway, NJ.
17. ISSS-ISRIC-FAO. 1998. World Reference Base for Soil Resources. World Soil Resources Report No 84, FAO, Rome.
18. Jones, R.J.A., Hiederer, R., Rusco, E., Loveland, P.J. & Montanarella, L. 2004. The Map of Organic Carbon in Topsoils in Europe, Version 1.2, September 2003: Explanation of Special Publication Ispra 2004 No.72 (S.P.I.04.72). Office for Official Publications of the European Communities, Luxembourg.
19. Kruse, F.A., Boardman, J.W. & Huntington, J.F. 2003. Comparison of airborne hyperspectral data and EO-1 hyperion for mineral mapping. IEEE Transactions on Geoscience and Remote Sensing, 41, 1388-1400.
20. Li, Y. 2010. Can the spatial prediction of soil organic matter contents at various sampling scales be improved by using regression kriging with auxiliary information? Geoderma, 159, 63-75.
21. Liao, L.B., Jarecke, P.J., Gleichauf, D.A. & Hedman, T.R. 2000. Performance characterization of the Hyperion imaging spectrometer instrument. In: Proceedings of Society of Photographic Instrumentation Engineers Conference: Earth Observing Systems. V, Volume 4135 (ed W.L. Barnes ), pp. 264-275. SPIE, San Diego, CA.
22. Matheron, G. 1965. Les variables régionalisées et leur estimation, une application de la théorie de fonctions aléatoires aux sciences de la nature. Masson et Cie, Paris.
23. Matthew, M.W., Adler-Golden, S.M., Berk, A., Richtsmeier, S.C., Levine, R.Y., Bernstein, L.S. et al. 2000. Status of atmospheric correction using a MODTRAN4-based algorithm. In: AeroSense 2000 (eds S.S. Chen & M.R. Descour ), pp. 199-207. SPIE, Orlando, FL.
24. Mehmood, T., Liland, K.H., Snipen, L. & Sæbø, S. 2012. A review of variable selection methods in partial least squares regression. Chemometrics & Intelligent Laboratory Systems, 118, 62-69.
25. Melendez-Pastor, I., Navarro-Pedreño, J., Gómez, I. & Koch, M. 2008. Identifying optimal spectral bands to assess soil properties with VNIR radiometry in semi-arid soils. Geoderma, 147, 126-132.
26. Mevik, B.-H. & Wehrens, R. 2007. The pls package: Principal component and partial least squares regression in R. Journal of Statistical Software, 18, 1-23.
27. Ouerghemmi, W., Gomez, C., Naceur, S. & Lagacherie, P. 2011. Applying blind source separation on hyperspectral data for clay content estimation over partially vegetated surfaces. Geoderma, 163, 227-237.
28. Pebesma, E.J. 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30, 683-691.
29. Pignatti, S., Acito, N., Amato, U., Casa, R., De Bonis, R., Diani, M. et al. 2012. Development of algorithms and products for supporting the Italian hyperspectral PRISMA mission: The SAP4PRISMA project. In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 127-130. IEEE, Piscataway, NJ.
30. Pollice, A. & Bilancia, M. 2002. Kriging with mixed effects models. Statistica, LXII, 405-429.
31. R Development Core Team 2011. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0 [WWW document]. URL http://www.R-project.org/.
32. Ribeiro, JR. & Diggle, P.J. 2001. geoR: A package for geostatistical analysis. R-News, 1, ISSN 1609-3631.
33. Richter, K., Hank, T., Atzberger, C., Locherer, M. & Mauser, W. 2012. Regularization strategies for agricultural monitoring: the EnMAP vegetation analyzer (AVA). In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 6613-6616. IEEE, Piscataway, NJ.
34. Selige, T., Böhner, J. & Schmidhalter, U. 2006. High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures. Geoderma, 136, 235-244.
35. Soil Survey Staff 2014. Keys to Soil Taxonomy, 12th edn. USDA-Natural Resources Conservation Service, Washington.
36. Stevens, A., Udelhoven, T., Denis, A., Tychon, B., Lioy, R., Hoffmann, L. et al. 2010. Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy. Geoderma, 158, 32-45.
37. Tanii, J., Iwasaki, A., Kawashima, T. & Inada, H. 2012. Results of evaluation model of Hyperspectral Imager Suite (HISUI). In: 2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 131-134. IEEE, Piscataway, NJ.
38. Villafranca, A.G., Corbera, J., Martín, F. & Marchán, J.F. 2012. Limitations of hyperspectral earth observation on small satellites. Journal of Small Satellites, 1, 19-29.
39. Viscarra Rossel, R.A., Walvoort, D.J.J., McBratney, A.B., Janikand, L.J. & Skjemstad, J.O. 2005. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma, 131, 59-75.
40. Walkley, A. & Black, I.A. 1934. An examination of the Degtjareff method for determining organic carbon in soils: Effect of variations in digestion conditions and of inorganic soil constituents. Soil Science, 63, 251-263.
41. Wold, S., Sjöström, M. & Eriksson, L. 2001. PLS-regression: a basic tool of chemometrics. Chemometrics & Intelligent Laboratory Systems, 58, 109-130.
42. Zhang, T., Li, L. & Zheng, B. 2013. Estimation of agricultural soil properties with imaging and laboratory spectroscopy. Journal of Applied Remote Sensing, 7, 073587.