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Titel:

Towards Seamless Validation of Land Cover Data

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Chuprikova, Ekaterina; Liebel, Lukas; Meng, Liqiu
Abstract:
This article demonstrates the ability of the Bayesian Network analysis for the recognition of uncertainty patterns associated with the fusion of various land cover data sets including GlobeLand30, CORINE (CLC2006, Germany) and land cover data derived from Volunteered Geographic Information (VGI) such as Open Street Map (OSM). The results of recognition are expressed as probability and uncertainty maps which can be regarded as a by-product of the GlobeLand30 data. The uncertainty information may...     »
Stichworte:
without_full_paper_review
Kongress- / Buchtitel:
International Cartographic Conference
Jahr:
2017
Reviewed:
ja
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