This is a web map service (WMS) for the 10-metre Land Cover Map 2023. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy.
Audience: PublicExtent: UKUpdate Frequency: Every SundaySustrans is the custodian of the National Cycle Network (NCN). We work with our many partners and stakeholders to develop the Network across the UK. This view layer depicts more than 12,000 miles of signed paths and routes for walking, cycling, wheeling and exploring outdoors.While we receive updates from regional staff and volunteers on a continuous basis, we can't guarantee the data to be free of error. If you discover an error please inform us by emailing our Sustrans GIS team so that it can be corrected. About SustransSustrans is the charity making it easier for people to walk and cycle.Join us on our journey, Sustrans Website Layer VisibilityThis layer contains over 35,000 polyline features. To optimise drawing performance the view layer has been limited to Cities (1:160000) level. Known IssuesThe NCN view layer's native projection is British National Grid (EPSG: 27700). The Network in Northern Ireland was captured in WGS 84 and reprojected to British National Grid. This is essential for maintaining a complete dataset and for producing overall statistics about the network. For this reason, the public version is projected in WGS 84 / Pseudo-Mercator (EPSG: 3857). Attribute Information1. DescriptionTrafficFree: Cycle route closed to public motor vehicles such as a footway, cycle path or bridleway.Onroad : Cycle route open to and used by public motor vehicles2. Route type
NCN (National Cycle Network): Cycle route is signed by a number in a red box. RCN (Regional Cycle Network – network not maintained/updated by Sustrans): Cycle route is signed by a number in a blue boxLink (connects to NCN, but not part of a route): Cycle route is signed by a number enclosed in brackets (blue or red box).PROM: promoted routes, not part of the NCN, but links to NCN and forms part of national or regional routes e.g. John O’Groats to Lands’ End3. Route category (RouteCat)
Main routeAlternative routeTemporary diversion (where a route has been closed for works etc and an temporary alternative route has been designed)5. Quality
Smooth: Top quality asphalt, newly laid path, motorway standard. Standard: Average quality asphalt.Acceptable: Rough British country road or good quality unsealed surface.Rough: Would not normally be ridden on a road bike.MTB Only: A road bike definitely would not be a sensible vehicle for using this section (whether or not it is theoretically possible to cycle on this with enough skill).6. LightingFullLit: Route link is fully lit, no dark patches.PartLit: Route is part lit, a few dark patches.NotLit: Route is not lit.Additional information on surface type is available on request. Please email GISSupport@sustrans.org.uk if you require this.Access the data on our open data portal here.
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This is a web map service (WMS) for the 10-metre Land Cover Map 2023. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy.