Vacca, Andrea and Loddo, Stefano and Melis, Massimo T. and Funedda, Antonio and Puddu, Rita and Verona, M. and Fanni, Stefania and Fantola, Francesca and Madrau, Salvatore and Marrone, Vittorio Alessandro and Serra, Gianluca and Tore, Clelia and Manca, Daniele and Pasci, Sandro and Puddu, Maria Rita and Schirru, Paolo (2014) A GIS based method for soil mapping in Sardinia, Italy: a geomatic approach. Journal of environmental management, Vol. 138 , p. 87-96. ISSN 0301-4797. eISSN 1095-8630. Article.
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A new project was recently initiated for the realization of the “Land Unit and Soil Capability Map of Sardinia” at a scale of 1:50,000 to support land use planning. In this study, we outline the general structure of the project and the methods used in the activities that have been thus far conducted. A GIS approach was used. We used the soil-landscape paradigm for the prediction of soil classes and their spatial distribution or the prediction of soil properties based on landscape features. The work is divided into two main phases. In the first phase, the available digital data on land cover, geology and topography were processed and classified according to their influence on weathering processes and soil properties. The methods used in the interpretation are based on consolidated and generalized knowledge about the influence of geology, topography and land cover on soil properties. The existing soil data (areal and point data) were collected, reviewed, validated and standardized according to international and national guidelines. Point data considered to be usable were input into a specific database created for the project. Using expert interpretation, all digital data were merged to produce a first draft of the Land Unit Map. During the second phase, this map will be implemented with the existing soil data and verified in the field if also needed with new soil data collection, and the final Land Unit Map will be produced. The Land Unit and Soil Capability Map will be produced by classifying the land units using a reference matching table of land capability classes created for this project.
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