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GlobalSoilMap.net – A New Digital Soil Map of the World

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Digital Soil Mapping

Abstract

Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-date and spatially referenced soil information as frequently expressed by the modelling community, farmers and land users, and policy and decision makers. This need coincides with an enormous leap in technologies that allow for accurately collecting and predicting soil properties. We work on a new digital soil map of the world using state-of-the-art and emerging technologies for soil mapping and predicting soil properties. The global land surface will be mapped in 5 years and the map consists of the primary functional soil properties at a grid resolution of 90 by 90 m. It will be freely available, web-accessible and widely distributed and used. The maps will be produced by a global consortium with centres in each of the continents: NRCS for North America, Embrapa for Latin America, JRC for Europe, TSBF-CIAT for Africa, ISSAS for parts of Asia and CSIRO for Oceania. This new global soil map will be supplemented by interpretation and functionality options that aim to assist better decisions in a range of global issues like food production and hunger eradication, climate change, and environmental degradation. In November 2008, a grant has of US$ 18 million has been obtained from the Bill & Melinda Gates foundation to map most parts in Sub-Sahara Africa, and make all Sub-Saharan Africa data available. From this grant there are funds for coordinating efforts in the global consortium.

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References

  • Ben-Dor, E. et al., 2006. Quantitative mapping of the soil rubification process on sand dunes using an airborne hyperspectral sensor. Geoderma 131:1–21.

    Article  Google Scholar 

  • Dudal, R., and Batisse, M., 1978. The soil map of the world. Nature and Resources 14:2–6.

    Google Scholar 

  • Gomez, C., Rossel, R.A.V., and 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.

    Article  Google Scholar 

  • Hartemink, A.E., 2008. Soil map density and nation’s wealth and income, pp. 53–66. In: Hartemink, A.E., McBratney, A.B., and Mendonca-Santos, M.L. (eds.), Digital Soil Mapping with Limited Data. Springer, Dordrecht.

    Chapter  Google Scholar 

  • Hengl, T., Toomanian, N., Reuter, H.I., and Malakouti, M.J., 2007. Methods to interpolate soil categorical variables from profile observations: Lessons from Iran. Geoderma 140:417–427.

    Article  Google Scholar 

  • McBratney, A.B., Santos, M.L.M., and Minasny, B., 2003. On digital soil mapping. Geoderma 117:3–52.

    Article  Google Scholar 

  • McKenzie, N.J., and Austin, M.P., 1993. A Quantitative Australian approach to medium and small scale surveys based on soil stratigraphy and environmental correlation. Geoderma 57:329–355.

    Article  Google Scholar 

  • Sanchez, P.A., Ahamed, S., Carre, F., Hartemink, A.E., Hempel, J., Huising, J., Lagacherie, P., McBratney, A.B., McKenzie, N.J., Mendonca-Santos, M.D., Minasny, B., Montanarella, L., Okoth, P., Palm, C.A., Sachs, J.D., Shepherd, K.D., Vagen, T.G., Vanlauwe, B., Walsh, M.G., Winowiecki, L.A., and Zhang, G.L., 2009. Digital soil map of the world. Science 325:680–681.

    Article  Google Scholar 

  • Shepherd, K.D., and Walsh, M.G., 2002. Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal 66:988–998.

    Google Scholar 

  • Vasques, G.M., Grunwald, S., and Sickman, J.O., 2008. Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra. Geoderma 146:14–25.

    Article  Google Scholar 

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Correspondence to Alfred E. Hartemink .

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Hartemink, A.E. et al. (2010). GlobalSoilMap.net – A New Digital Soil Map of the World. In: Boettinger, J.L., Howell, D.W., Moore, A.C., Hartemink, A.E., Kienast-Brown, S. (eds) Digital Soil Mapping. Progress in Soil Science, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8863-5_33

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