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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
E. Chuprikova, L. Liebel, L. Meng 
Titel:
Towards Seamless Validation of Land Cover Data 
Abstract:
This article demonstrates the ability of the Bayesian Network analysis for the recognition of uncertainty pat-terns 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:
GlobeLand30, Land cover, Spatial-temporal uncertainty, Uncertainty visualization, Citizen Science, Probabilistic modeling 
Kongresstitel:
ICC 2017 - International Cartography Conference 
Zeitschriftentitel:
Proceedings 
Jahr:
2017 
Jahr / Monat:
2017-07 
Monat:
Jul 
Sprache:
en