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Deriving INSPIRE compliant land-use maps from open public sector information

Henning Sten Hansen

(Submission #204)


Abstract

Land-use is defined as the use and function of land in terms of its socio-economic and ecological purposes, and is often split into two different categories: The existing land-use, and the planned land-use. Land cover, which is closely related to land-use, is aimed at describing the earth’s surface by its bio-physical characteristics as seen from above. Land-use is categorised as so-called annex 3 data in the INSPIRE Directive, and the technical guidelines for producing INSPIRE compliant land-use data has been published by the European Commission.

The technical guidelines describe a so-called Hierarchical INSPIRE Land-Use Classification System (HILUCS). This is a new, multi-level, classification system being general enough for the member states to map their specific classification system to the appropriate level in HILUCS.

While land cover can be derived from remotely sensed data sources like satellite images, land-use often requires in situ observations making creation and update time-consuming and costly. Thus the LUCAS system by Eurostat has a three-year update frequency and requires a lot of man power about 27000 points distributed among the 28 EU Member States. Accordingly, the aim of the current project has been to develop a method to create INSPIRE compliant land-use data from existing open public sector information. The emphasis has been on current and previous land-use applying the gridded land-use option, although the method also can be used for vector based land-use mapping. The cell size applied currently is 100 metre. The main data sources for the socio-economic use of land are public registers on buildings, housing, business, energy, forests, crops, and domestic animals. These data sets are created and updated regularly by public authorities during general administrative and management task hereby facilitating yearly production of updated land-use maps with very low costs compared to for example the LUCAS system. In addition, CORINE land-cover and different nature maps are used to support mapping of the ecological use of land. The described approach has been used to create yearly land-use data from 1990 to 2015. Earlier the quality of some public register were not perfect, but since the millennium a lot of efforts have put into improving the quality. The same method has also been used in Finland, and it is expected that it can be applied among all the Nordic countries with strong traditions on relying on public registers.

Categories

Topic Area:  [1.3] Land management and monitoring
Abstract Type:  Oral Presentation

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