Scipediacontent: Scipediacontent moved page Draft Content 490998069 to Fonte et al 2016a

2021-02-03T17:07:17Z

Scipediacontent moved page Draft Content 490998069 to Fonte et al 2016a

Scipediacontent: Created page with " == Abstract == Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, t..."

2021-02-03T17:07:14Z

Created page with " == Abstract == Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, t..."

New page

== Abstract ==

Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, their creation is time consuming and therefore updated LULCM are seldom available. The OpenStreetMap (OSM) collaborative project collects a rich set of vector data provided by volunteers at a global scale. It has already been shown that OSM data may be converted into LULCM, but data quality issues in OSM raise some challenges for this conversion, such as overlapping features that should be assigned to different classes. Thus, the creation of LULCM using OSM requires a solution for handling these inconsistencies. In this article an automated methodology is proposed using rules of decision and spatial analysis in a GIS environment to convert OSM features into LULCM, which automatically solves the inconsistencies mentioned above. The methodology is applied to two areas in Europe and the results are compared to available LULCM.

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10316/48070 http://hdl.handle.net/10316/48070]

* [http://hdl.handle.net/11311/1009690 http://hdl.handle.net/11311/1009690]

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Fonte et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 490998069 to Fonte et al 2016a

Scipediacontent: Created page with " == Abstract == Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, t..."