OS Open Raster stack of GB for use as base mapping from national scale through to street level data. The currency of the data is: GB Overview Maps - 12/2014 MiniScale - 01/2024 OS 250K Raster - 06/2024Vector Map District Raster - 05/2024Open Map Local Raster - 10/2024 The coverage of the map service is GB. The map projection is British National Grid. The service is appropriate for viewing down to a scale of approximately 1:2,500. For more information on OS Open Services see: https://osdatahub.os.uk/downloads/open Updated: 29/10/2024

This dataset is available for download from: Wetlands (File Geodatabase).Wetlands in California are protected by several federal and state laws, regulations, and policies. This layer was extracted from the broader land cover raster from the CA Nature project which was recently enhanced to include a more comprehensive definition of wetland. This wetlands dataset is used as an exclusion as part of the biological planning priorities in the CEC 2023 Land-Use Screens.This layer is featured in the CEC 2023 Land-Use Screens for Electric System Planning data viewer.For more information about this layer and its use in electric system planning, please refer to the Land Use Screens Staff Report in the CEC Energy Planning Library. Change LogVersion 1.1 (January 26, 2023)Full resolution of wetlands replaced a coarser resolution version that was previously shared. Also, file type changed from polygon to raster (feature service to tile layer service).

The currency of the data is;GB Overview Maps - 12/2014MiniScale - 01/2015OS 250K Raster - 06/2014Vector Map District Raster - 09/2014StreetView - 10/2014The coverage of the map service is GB.The map projection is British National Grid.The service is appropriate for viewing down to a scale of approximately 1:5,000.Updated: 10/04/2015

(Link to Metadata) (Link to data release page) This Topographically-defined Floodplain dataset is a high-resolution raster that communicates the extent and frequency of flood inundation along rivers that drain 2 square-miles or more in the Lake Champlain Basin, Vermont. This dataset represents the lateral extents of flooding for storms of recurrence intervals ranging from 2 to 500 years. It includes eight modeled storm sizes (2, 5, 10, 25, 50, 100, 200, and 500 year peak floods) informed by regional regression analyses built from Vermont watershed characteristics and the historical hydrology of the region. The Floodplain dataset represents the flood inundation extents as they are topographically defined at the time of the most recent LiDAR data collection, which varies from 2013 to 2017.Because of simplifications made to represent hydraulic processes in the modeling approach and uncertainties and errors in large scale model parameterization (e.g., flood peak discharges at ungauged reaches, roughness values), there are limitations to its uses.This floodplain model is intended for planning and research use by government, academic, commercial and non-governmental agencies; it is NOT a substitute for FEMA Flood Insurance Rate Maps and is not intended for regulatory use.

This dataset is available for download from: Parcelization (File Geodatabase)Parcelization, a measure of size and density of parcels in a localized area, is a development feasibility factor that is used in evaluating substations’ ability to support new utility-scale resources in long-term energy planning. A statewide dataset of parcel boundaries are used to develop this index. The parcels are converted into a 90-meter raster, containing values of a unique identifier reflective of Parcel APN. A focal statistics tool is used to count the number of unique parcels within a 0.5 mile radius of each parcel. This output is provided here and is an intermediate output to the final parcelization map. Users who wish to use this information to produce the final map should overlay parcel boundary data and extract the mean raster value within each parcel. The map is limited to the area considered with solar technical resource potential after a minimum set of land-use screens (referred to as the Base Exclusions) has been applied. More information on the methods developing this dataset as well as the main use of this dataset in state electric system planning processes can be found in a recent CEC staff report and workshops supporting the resource-to-busbar mapping methodology for the 2024-2025 Transmission Planning Process.

This vector tile layer, provides a detailed reference layer for the world designed to be overlaid on imagery. This vector tile layer is similar in content and style to the Imagery with Labels map, which is delivered as raster fused map cache tile layers, with additional labels for transportation features. This vector tile layer provides unique capabilities for customization and high-resolution display.

Acknowledgements: The CORE format was proudly inspired by the Cloud Optimized GeoTIFF (COG) format, by considering how to leverage the ability of clients issuing ​HTTP GET range requests for a time-series of remote sensing and aerial imagery (instead of just one image).

License: The Cloud Optimized Raster Encoding (CORE) specifications are released to the public domain under a Creative Commons 1.0 CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.

Summary: The Cloud Optimized Raster Encoding (CORE) format is being developed for the efficient storage and management of gridded data by applying video encoding algorithms. It is mainly designed for the exchange and preservation of large time series data in environmental data repositories, while in the same time enabling more efficient workflows on the cloud. It can be applied to any large number of similar (in pixel size and image dimensions) raster data layers. CORE is not designed to replace COG but to work together with COG for a collection of many layers (e.g. by offering a fast preview of layers when switching between layers of a time series). WARNING: Currently only applicable to RGB/Byte imagery. The final CORE specifications may probably be very different from what is written herein or CORE may not ever become productive due to a myriad of reasons (see also 'Major issues to be solved'). With this early public sharing of the format we explicitly support the Open Science agenda, which implies "shifting from the standard practices of publishing research results in scientific publications towards sharing and using all available knowledge at an earlier stage in the research process" (quote from: European Commission, Directorate General for Research and Innovation, 2016. Open innovation, open science, open to the world). CORE Specifications: 1) a MP4 or WebM video digital multimedia container format (or any future video container playable as HTML video in major browsers) 2) a free to use or open video compression codec such as H.264, VP9, or AV1 (or any future video codec that is open sourced or free to use for end users) Note: H.264 is currently recommended because of the wide usage with support in all major browsers, fast encoding due to acceleration in hardware (which is currently not the case for AV1 or VP9) and the fact that MPEG LA has allowed the free use for streaming video that is free to the end users. However, please note that H.264 is restricted by patents and its use in proprietary or commercial software requires the payment of royalties to MPEG LA. However, when AV1 matures and accelerated hardware encoding becomes available, AV1 is expected to offer 30% to 50% smaller file size in comparison with H.264, while retaining the same quality. 3) the encoding frame rate should be of one frame per second (fps) with each layer segmented in internal tiles, similar to COG, ordered by the main use case when accessing the data: either layer contiguous or tile contiguous; Note: The internal tile arrangement should support an easy navigation inside the CORE video format, depending on the use case. 4) a CORE file is optimised for streaming with the moov atom at the beginning of the file (e.g. with -movflags faststart) and optional additional optimisations depending on the codec used (e.g. -tune fastdecode -tune zerolatency for H.264) 5) metadata tags inside the moov atom for describing and using geographic image data (that are preferably compatible with the OGC GeoTIFF standard or any future standard accepted by the geospatial community) as well as list of original file names corresponding to each CORE layer 6) it needs to encode similar source rasters (such as time series of rasters with the same extent and resolution, or different tiles of the same product; each input raster should be having the same image and pixel size) 7) it provides a mechanism for addressing and requesting overviews (lower resolution data) for a fast display in web browser depending on the map scale (currently external overviews) Major issues to be solved: - Internal overviews (similar to COG), by chaining lower resolution videos in the same MP4 container for fast access to overviews first); Currently, overviews are kept as separate files, as external overviews. - Metadata encoding (how to best encode spatial extent, layer names, and so on, for each of the layer inside the series, which may have a different geographical extent, etc...; Known issues: adding too many tags with FFmpeg which are not part of the standard MP4 moov atom; metadata tags have a limited string length. - Applicability beyond RGB/Byte datasets; defining a standard way of converting cell values from Int16/UInt16/UInt32/Int32/Float32/Float64/ data types into multi-band Byte values (and reconstructing them back to the original data type within acceptable thresholds) Example Notice: The provided CORE (.mp4) examples contain modified Copernicus Sentinel data [2018-2021]. For generating the CORE examples provided, 50 original Sentinel 2 (S-2) TCI data images from an area located inside Switzerland were downloaded from www.copernicus.eu, and then transformed into CORE format using ffmpeg with H.264 encoding using the x264 library. DISCLAIMER: Basic scripts are provided for the Geomatics peer review (in 2021) and kept as additional information for the dataset. Nevertheless, please note that software dependencies and libraries, as well as cloud storage paths, may quickly become deprecated over time (after 2021). For compatibility, stable dependencies and libraries released around 2020 should be used.

The NAIP Imagery Hybrid (US Edition) web map features recent high-resolution National Agriculture Imagery Program (NAIP) imagery for the United States and is optimized for display quality and performance. The map also includes a reference layer. This NAIP imagery is from the USDA Farm Services Agency. The NAIP imagery in this map has been visually enhanced and published as a raster tile layer for optimal display performance.NAIP imagery collection occurs on an annual basis during the agricultural growing season in the continental United States. Approximately half of the US is collected each year and each state is typically collected every other year. The NAIP program aims to make the imagery available to governmental agencies and to the public within a year of collection.This basemap is available in the United States Vector Basemaps gallery and uses NAIP Imagery and World Imagery (Firefly) raster tile layers. It also uses the Hybrid Reference (US Edition) and Dark Gray Base (US Edition) vector tile layers.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

This web map contains the new Hybrid Reference Layer vector tile layer, which is designed to be used to overlay imagery. The vector tile layer is similar in content and style to the popular Imagery with Labels map, which is delivered as a map service with raster tiles, with additional labels for transportation features.The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get highways and streets at small scales or street labels at large scale.If you prefer a map that uses raster tiles for both boundary and transportation features, you can use the Imagery with Labels and Transportation map.

This vector tile layer, last updated in February 2017, provides a detailed vector basemap for the world symbolized with a light gray, neutral background style with minimal colors, labels, and features that is designed to draw attention to your thematic content. This layer is similar in content to the Light Gray Canvas raster basemap, which uses raster fused map cache tile layers. This vector tile layer provides unique capabilities for customization and high-resolution display.This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. The map is built using the same data sources used for the Light Gray Canvas raster basemap and other Esri basemaps. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap layer or reference layer in a web map. You can add this layer to a web map and save as your own map. If you would like to use this map as a basemap in a web map, you may use the vector basemap Light Gray Canvas web map.Customize this MapBecause this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.

This vector tile layer provides a detailed basemap for the world symbolized with a classic Esri topographic map style. This vector tile layer is similar in content and style to the World Topographic Map, which is delivered as raster fused map cache tile layer. This vector tile layer provides unique capabilities for customization and high-resolution display.This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with shaded relief for added context. The map is built using the same data sources used for the World Topographic Map raster basemap and other Esri basemaps. Use this MapThis map is designed to be used as a basemap layer or reference layer in a web map. You can add this layer to a web map and save as your own map. If you would like to use this map as a basemap layer in a web map, you may use the vector basemap Topographic web map.Customize this MapBecause this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.

This vector tile layer provides a detailed vector basemap for the world symbolized with a light gray, neutral background style with minimal colors, labels, and features that is designed to draw attention to your thematic content. This layer is similar in content to Light Gray Base, which is delivered as a raster fused map cache tile layer. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This layer includes highways, major roads, minor roads, railways, water features, parks, landmarks, building footprints, and administrative boundaries. The map is built using the same data sources used for the Light Gray Canvas raster basemap and other Esri basemaps.Use this MapThis map is designed to be used as a base layer in conjunction with the Light Gray Canvas reference layer in a web map. You can add this layer to a web map and save as your own map. If you would like to use this map as a basemap in a web map, you may use the vector basemap Light Gray Canvas web map.Customize this MapBecause this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.

These tiles are raster images of the Topo vector data from Corax Topo 2006 vector dataset, created using ArcGIS in the NZTM projection. They are not the scanned hardcopy maps published by LINZ. All tiles are georeferenced and clipped exactly. Annotation can span the tile boundaries.

The scale of the data is designed to be printed at 1:50,000 but the lower resolutions we have for screens compared to a page means that they are more readable at 1:25,000 scale.

To reduce clutter the patterned filled symbols have been simplified to single colours, contours have been thinned.

Annotation from the topo set has been used for labelling, however that did not include road names, spot heights and descriptive text. These have been placed automatically, so there are some clashes.

Pixel size is 4.0 metres ground which results in much smaller file sizes (~ 40 MB) than a high resolution version of an A1 sheet that LINZ issue from the new series (140 MB)

The tiles are half NZTopo50 sheets, 24 km x 18 km covering 43,200 Ha. The rate set is equivalent to $3.00 + GST per tile or $6 + GST per sheet for large areas. You may find downloading the NZTopo50 index layer to make calculation of the cost easier.

Although there are newer versions of the LINZ data (now v 15) there are very, very few edits in each version, and they are limited to a few tiles, so for most of the country this is still identical to the latest version.

Source Corax Topo 2006, derived from LINZ Topo version 13. Crown Copyright Reserved.

🇺🇸 미국 English This vector tile layer provides a detailed basemap for the world symbolized with a classic Esri topographic map style. This vector tile layer is similar in content and style to the World Topographic Map, which is delivered as raster fused map cache tile layer. This vector tile layer provides unique capabilities for customization and high-resolution display.This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with shaded relief for added context. The map is built using the same data sources used for the World Topographic Map raster basemap and other Esri basemaps. Use this Map

The Firefly Imagery Hybrid (US Edition) map features an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers. This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention. The map also includes a reference layer.Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them). There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports. With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.This basemap is available in the United States Vector Basemaps gallery and uses the Hybrid Reference Layer (US Edition) vector tile layer and the World Imagery (Firefly) raster tile layer. The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

The National Geographic Style Map (US Edition) web map provides a reference map for the world that includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings, and landmarks, overlaid on shaded relief and a colorized physical ecosystems base for added context to conservation and biodiversity topics. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri, National Geographic or any governing authority.This basemap is available in the United States Vector Basemaps gallery and uses the National Geographic Style (US Edition) vector tile layer and the National Geographic Style Base and World Hillshade raster tile layers.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

The Canada Basemap Transportation (CBMT) is a raster tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from the following datasets: - Topographic data of Canada – CanVec Series - Official names from the Canadian Geographical Names Database (CGNDB). Projections: - Data is provided in the EPSG:3978 (NAD83 Canada Atlas Lambert) projected coordinate system. - Data is provided in the EPSG:3857 (WGS84 Pseudo-Mercator) projected coordinate system. Geographic Coverage: - The CBMT in the EPSG:3857 has complete coverage of the world, with full datasets in Canada and only partial data in other parts of the world including boundaries, Country Names, and major cities. - The CBMT in the EPSG:3978 covers the entire geographic area of Canada and some major transportation routes and cities in the northern States of the USA. Additional Versions: - The CBMT is available as a dynamic service (WMS) or a tiled service (ESRI REST and WMTS). - A geometry-only version (CBMT GEOM) and a text-only version (CBMT TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport (CBCT).

The Environment Map (US Edition) web map consists of vector tile layers that form a detailed basemap for the world, featuring a neutral style with content adjusted to support environment, landscape, natural resources, hydrologic and physical geography layers. The layers in this map provide unique capabilities for customization, high-resolution display and offline use in mobile devices. They are built using the same data sources used for other Esri basemaps.This basemap is available in the United States Vector Basemaps gallery and consists of 4 vector tile layers and one raster tile layer: The Environment Detail and Label (US Edition) vector tile reference layer for the world with administrative boundaries and labels; populated places with names; ocean names; topographic features; and rail, road, park, school, and hospital labels. The Environment Surface Water and Label vector tile surface water layer for the world with rivers, lakes, streams, and canals with respective labels. The Environment Watersheds vector tile layer that provides watersheds boundaries. The Environment Base multisource base layer for the world with vegetation, parks, farming areas, open space, indigenous lands, military bases, bathymetry, large scale contours, elevation values, airports, zoos, golf courses, cemeteries, hospitals, schools, urban areas, and building footprints. World Hillshade raster tile layerThe vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

Important Note: The USA Topo Maps raster tile layer is in mature support as of June 2021 and no longer updated. The USA Topo Maps (US Edition) map presents land cover and detailed topographic maps for the United States. The map includes the National Park Service (NPS) Natural Earth physical map at 1.24km per pixel for the world at small scales, i-cubed eTOPO 1:250,000-scale maps for the contiguous United States at medium scales, and National Geographic TOPO! 1:100,000 and 1:24,000-scale maps (1:250,000 and 1:63,000 in Alaska) for the United States at large scales. The TOPO! maps are seamless, scanned images of United States Geological Survey (USGS) paper topographic maps.This basemap is available in the United States Vector Basemaps gallery and uses the Hybrid Reference Layer (US Edition) vector tile layer and USA Topo Maps.The vector tile layer in this web map is built using the same data sources used for other Esri Vector Basemaps. Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.

A raster tile layer depicting instances of tornadoes and wildfires in the United States during the years 2015 - 2016.