Abstract
Digital soil mapping involves the creation of new raster-based soil attribute datasets from existing soil and environmental data, coupled with other spatial knowledge of soil distribution. The GlobalSoilMap.net project is intended to provide a digital soil map of the world on a 90 m raster base derived from existing soil data sources in each country. This paper provides an overview of the existing soil information holdings in the Canadian Soil Information System (CanSIS) in terms of their scale, coverage, and potential suitability for digital soil mapping applications. A description of a possible approach to the capture and transformation of legacy soil survey knowledge for digital soil mapping purposes is also provided. Most historical soil inventory maps and reports in Canada have been produced for the southernmost 20% of Canada’s land area by a variety of federal and provincial agencies at scales ranging from 1:20,000 to 1:250,000. Many of these datasets are available in digital format as part of the National Soil Data Base (NSDB) within CanSIS. The NSDB detailed soil map coverages provide the most precise spatial data source for building raster based digital soil mapping products, but coverage is incomplete. The Soil Landscapes of Canada (SLC) map series provides complete coverage for all of Canada, at a scale of 1:1 million. SLC maps are less spatially precise, but provide the national coverage needed for applications like the GlobalSoilMap.net project. Pedon datasets provide spatial information at specific points, but the sampling density is very low, and not well spatially distributed. Understanding the status and relevance of the NSDB data holdings, and how they can be effectively combined with expert knowledge, digital terrain models, and other data sources are important for organizing our approach to future digital soil mapping work in Canada.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Behrens, T., and Scholten, T., 2006. Digital soil mapping in Germany – a review. Journal of Plant Nutrition and Soil Science 169(3):434–443.
Carre, F., McBratney, A.B., and Minasny, B., 2007. Estimation and potential improvement of the quality of legacy soil samples for digital soil mapping. Geoderma 141(1–2):1–14.
Coen, J.M. (ed.), 1987. Soil Survey Handbook. Vol. 1 Technical Bulletin 1987-9E, ISBN 0-662-15374-X, Agriculture Canada, Ottawa, ON.
Forbes, T.R., Rossiter, D., and Wambeke, A.V., 1982. Guidelines for Evaluating the Adequacy of Soil Resource Inventories. SMSS Tech. Monogr. #4. Cornell University Department of Agronomy, Ithaca, NY.
Grinand C., Arrouays, D., Laroche, B., and Martin, M.P., 2008. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context. Geoderma 143:180–190.
Henderson, B.L., Bui, E.N., Moran, C.J., and Simon, D.A.P., 2005. Australia-wide predictions of soil properties using decision trees. Geoderma 124:383–398.
Hengl, T., and Husnjak, S., 2006. Evaluating adequacy and usability of soil maps in Croatia. Soil Science Society of America Journal 70:920–929.
MacMillan, R.A., Pettapiece, W.W., Nolan, S.C., and Goddard, T.W., 2000. A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic. Fuzzy Sets and Systems 113(1):81–109.
MacMillan R.A., Jones R.K., and McNabb, D.H., 2004. Defining a hierarchy of spatial entities for environmental analysis and modeling using digital elevation models (DEMs). Computers, Environment and Urban Systems 28(3):175–200.
McBratney, A.B., Santos, M.L.M., and Minasny, B., 2003. On digital soil mapping. Geoderma 117(1–2):3–52.
Walter, C., Lagacherie, P., and Follain, S., 2007. Integrating pedological knowledge into digital soil mapping, pp. 281–300. In: Lagacherie P., McBratney, A.B., Voltz, M. (eds.), Digital Soil Mapping an Introductory Perspective. Elsevier, Amsterdam.
Zhu, A.X., Hudson, B., Burt, J., Lubich, K., and Simonson, D., 2001. Soil mapping using GIS, expert knowledge, and fuzzy logic. Soil Science Society of America Journal 65(5):1463–1472.
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
Geng, X. et al. (2010). Toward Digital Soil Mapping in Canada: Existing Soil Survey Data and Related Expert Knowledge. 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_26
Download citation
DOI: https://doi.org/10.1007/978-90-481-8863-5_26
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-8862-8
Online ISBN: 978-90-481-8863-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)