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In order to update the cadastral database and maintain it's topological consistency automatically (or semi-automatically) during the updating process, an event-driven incremental updating method of ...
Spatial data mining (SDM) and change detection (CD) are hot issues in the field of geospatial information processing. Considering the feasibility of discovering knowledge from spatial database and t...
The paper summarises the importance of spatial data quality, especially as data is used more and more in automated processes and decision-making, and as data is integrated or ‘joined-up’ from diverse ...
INSPIRE is a given so attention turns to implementation. Of particular interest is the creation of Spatial Data Infrastructures (SDIs).In Great Britain (GB) we have been attempting to create a SDI for...
The maintenance of satellite and spatial data quality is an important task and escalating interest amongst geospatial community. The visualization of perfect earth surface features by relative respons...
This paper reports on a project which explored whether it was possible to spatially reference data from the National Psychiatric Inpatient Reporting System (NPIRS) database from the Mental Health Divi...
Rainfall data is one of the meteorological parameters that have a greater bearing on the livelihood of individuals not only in Zambia but also the world over. It is therefore very important that quali...
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...
Countryside agencies in the UK are interested in how to generate a range of Boolean maps whilst controlling uncertainties in ways that are appropriate to different landscape questions. This work illus...
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...
Spatial datacubes (also called "spatial multidimensional databases") are the cornerstone of the emerging Spatial On-Line Analytical Processing (SOLAP) technology. They are aimed at supporting Geograph...
Center for Geographic Information Science, Research Center for Humanities and Social Sciences,Academia Sinica (GIS center), Coordinate short-, medium-, and long-term operations of multidisciplinary r...
The ground resolved distance (GRD) of an imaging sensor, i.e. the size of the smallest element distinguishable on acquired imagery, is one of the most important sensor quality assessment factors, as i...
AIRFLEX is an optical sensor based on the Fraunhofer Line Discriminator principle applied in the atmospheric oxygen absorption bands, that measures simultaneously fluorescence at 687 nm and 760 nm. ...
The Amazon forest has been largely studied in terms of biodiversity, carbon cycle, and conservation. All these studies use different strategies and methodologies to capture the local scale findings ...

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