2007
DOI: 10.1179/000870407x241827
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UK Land Cover Map Production Through the Generalisation of OS MasterMap®

Abstract: Earth Observation (EO) data is seen as a major source of information to characterise the Earth's surface, but is conventionally analysed using pixel-based approaches that do not incorporate the concept of landscape features or realworld objects. The UK land cover maps to date have been developed in an attempt to exploit landscape features to improve the quality and accuracy of their derived products. For Land Cover Map 2007 (LCM2007) landscape features will be derived from a generalised version of OS MasterMap… Show more

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Cited by 34 publications
(18 citation statements)
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“…The model also requires phosphorus inputs (atmospheric deposition, fertiliser and manure application and wastewater discharge) and spatial data describing the major land uses. For the Thames, proportions of urban, intensive agriculture (arable and horticulture), non-intensive agriculture (grassland), wetlands (heath, bog and water bodies) and forest (both conifer and deciduous) were identified from the UK 2007 Land Cover Map (Smith et al, 2007). For each land use, a phosphorus daily application rate was defined, based on fertiliser usage and number of grazing animals, using statistics from the Department for Food and Rural Affairs (DEFRA) and literature values (Johnes and Butterfield, 2003).…”
Section: Incamentioning
confidence: 99%
“…The model also requires phosphorus inputs (atmospheric deposition, fertiliser and manure application and wastewater discharge) and spatial data describing the major land uses. For the Thames, proportions of urban, intensive agriculture (arable and horticulture), non-intensive agriculture (grassland), wetlands (heath, bog and water bodies) and forest (both conifer and deciduous) were identified from the UK 2007 Land Cover Map (Smith et al, 2007). For each land use, a phosphorus daily application rate was defined, based on fertiliser usage and number of grazing animals, using statistics from the Department for Food and Rural Affairs (DEFRA) and literature values (Johnes and Butterfield, 2003).…”
Section: Incamentioning
confidence: 99%
“…A spatial framework of land parcels for a national land cover map is already under development based on generalized OS MasterMap data. This approach is the result of collaboration between the Centre for Ecology and Hydrology and the company 1Spatial, formerly Laser Scan (Smith et al, 2007).…”
Section: Supply Modelsmentioning
confidence: 99%
“…With private land use changing fairly frequently, responsive with social and financial trends, it would seem important to track these changes in terms of ISA [30]. The OS MasterMap product may not ever hope to do this as the main remit of the product is to identify land parcels rather than materials [54,75]. Under normal circumstances, high FAR scores would be indicative of a poor classification but this is on the contrary here due to the lack of detail in residential areas for the OS MM product.…”
Section: Analysis Of Dynamic Changes In Isamentioning
confidence: 99%
“…To further assess, in part the accuracy of the classification and in part the inadequacy of the currently existing GIS-based products for ISA estimation, the OS MasterMap product was used. Details of this dataset are referred to in the works of [53,54,59]. …”
Section: Datasetsmentioning
confidence: 99%
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