Land use maps are usually obtained by a set of semi-automated and manual approaches starting from pre-classified land cover maps. Additionally, other sources of information like census data or cadastral data are also taken into account to obtain the final result. In this paper, we explore a new methodology that automatically produces land use maps by using the topological and semantic information contained in land cover maps. From the observation of existing land use maps of the Land Information System Austria (LISA) project, we infer the rules with which complex objects of land use maps can be built as aggregates of land cover objects. Then, we identify a set of geometric operations that are needed to assess spatial properties and relations among land cover objects. With reference to two use cases, “urban settlement” and “agricultural aggregates”, we illustrate the procedures to obtain the land use objects of such cases.

A methodology for the automatic generation of land use maps

CLEMENTINI, ELISEO;
2012-01-01

Abstract

Land use maps are usually obtained by a set of semi-automated and manual approaches starting from pre-classified land cover maps. Additionally, other sources of information like census data or cadastral data are also taken into account to obtain the final result. In this paper, we explore a new methodology that automatically produces land use maps by using the topological and semantic information contained in land cover maps. From the observation of existing land use maps of the Land Information System Austria (LISA) project, we infer the rules with which complex objects of land use maps can be built as aggregates of land cover objects. Then, we identify a set of geometric operations that are needed to assess spatial properties and relations among land cover objects. With reference to two use cases, “urban settlement” and “agricultural aggregates”, we illustrate the procedures to obtain the land use objects of such cases.
978-3-87907-521-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/37623
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