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Globally acquired data from both MODIS instruments are suitable for science quality time series, because the unique concept of pixel-level quality information of each MODIS land product allows a detai...
Nowadays developing geo-metadata with the capacity for data quality management and dissemination plays an important role in GIS/Geomatics world. Data quality information embedded in geo-metadata helps...
Data indexing and compression procedures have enabled several significant advances in the application of spatial data. Data coverage, portability, transfer, multi-scale representation (pyramids), quer...
This paper addresses impedance mismatch problems, which occur when two information systems are plugged for workingtogether. Such problems are particularly crucial for environmental health, where busin...
Different methods for map generalization have been developed. However, there are only a few publications that discuss the automatic quality assessment of generalized maps. This problem becomes crucial...
Because of the use of computers and its advances in scientific data handling and advancement of various geo and space borne sensors, we are now faced with a large amount of data. Therefore, the develo...
Description of data quality relies heavily on numbers. When dealing with data sets, which have been collected during longer periods, however, variation in the data quality will become evident. Older d...
Quality of integrated data depends on the quality of original data sources, but it can also be affected by the semantic mapping process between ontologies of different sources, thus influencing the qu...
Current representations of spatial data quality (SDQ) do not adequately represent the spatial variation of SDQ. For example, a user who wants to know the positional accuracy of a feature usually has t...
Data quality statements are now entrenched in metadata standards worldwide. I contrast the needs of the user with the production-control mechanisms of the producer, and argue that metadata standards a...
The quality of GIS data cannot be assessed independently of what it should be used for (“fitness for use”); this assessment requires currently human expert interaction. If the user describes how he us...
With the development of the economy, the fast and accurate extraction of the city road is significant for GIS data collection and update, remote sensing images interpretation, mapping and spatial data...
Although by many perceived as important, spatial data quality has hardly ever been taken centre stage unless something went wrong due to bad quality. However, we think this is going to change soon. We...
Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metad...
The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data qualit...

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