Updating a physiography-based soil map using digital soil mapping techniques
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 1:20000 scale soil map made using physiographic analysis with i...
| Autores principales: | , , , , |
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| Formato: | info:ar-repo/semantics/parte de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2024
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/17608 https://link.springer.com/chapter/10.1007/978-3-319-19159-1_18 https://doi.org/10.1007/978-3-319-19159-1_18 |
| Sumario: | 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 1:20000 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 nu8mber 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 discretePI values obtained from a conventional mapping procedure with cpntinuous PI values obtained by soil digital mapping procedures. |
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