Abstract
Research work carried out in Entre-Rios province (Argentina) for mixed land use planning and management in relation to suitable soil conditions required high-resolution soil information at farm level. Basic information was provided by a 1:20,000 scale soil map made using physiographic analysis with intensive aerial photo-interpretation of soil-landscape relationships and landscape-oriented field survey. Continuous productivity-index (PI) classes were predicted from a number of environmental covariates, mostly DEM derivatives, using regression and geostatistical techniques. The PI land classification was used to adjust the soil-landscape/soil-series interpretation of the existing choropleth soil map by means of correlating discrete PI values obtained from a conventional mapping procedure with continuous PI values obtained by soil digital mapping procedures.
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Acknowledgements
This research was carried out within the framework of both the Soil Cartography (PNSUELO-1134032) and the Land Evaluation (PNSUELO-1134033) projects of the INTA National Soil Program. We acknowledge our project colleagues Lucas Martín Moretti, Julieta Irigoin, and Leonardo Mauricio Tenti Vuegen for providing data and expert knowledge as well as assistance during the field survey operations.
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Bedendo, D.J., Schulz, G.A., Olmedo, G.F., Rodríguez, D.M., Angelini, M.E. (2016). Updating a Physiography-Based Soil Map Using Digital Soil Mapping Techniques. In: Zinck, J.A., Metternicht, G., Bocco, G., Del Valle, H.F. (eds) Geopedology. Springer, Cham. https://doi.org/10.1007/978-3-319-19159-1_18
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