This layer (hosted feature layer) depicts the Storm Water Combined Nodes BC in the City of Canton, GA. This data set is maintained by the City of Canton's GIS division.For specific questions about this data or to provide feedback, please contact the City's GIS division: Alaina Ellis GIS Analyst alaina.ellis@cantonga.gov (770) 546-6780 Canton City Hall 110 Academy Street, Canton, GA 30114

The map title is British Columbia. Tactile map scale. 1.8 centimetres = 100 kilometres North arrow pointing to the top of the page. Borders of the province of British Columbia, shown as dashed and solid lines. The Pacific Ocean, shown with a wavy symbol to indicate water. A circle and the city name to show the location of Prince George and Vancouver. A filled star and the city name to show the location the capital of the province, Victoria. Text labels for the Pacific Ocean and Fraser River. The word lake is abbreviated as L. The abbreviation "AB" to indicate the province of Alberta. The abbreviation "YT" to indicate the Yukon Territory. The abbreviation "NT" to indicate the Northwest Territories. The abbreviation "USA" to indicate the neighbouring country, The United States of America. The abbreviation "AK" to indicate the State of Alaska. Tactile maps are designed with Braille, large text, and raised features for visually impaired and low vision users. The Tactile Maps of Canada collection includes: (a) Maps for Education: tactile maps showing the general geography of Canada, including the Tactile Atlas of Canada (maps of the provinces and territories showing political boundaries, lakes, rivers and major cities), and the Thematic Tactile Atlas of Canada (maps showing climatic regions, relief, forest types, physiographic regions, rock types, soil types, and vegetation). (b) Maps for Mobility: to help visually impaired persons navigate spaces and routes in major cities by providing information about streets, buildings and other features of a travel route in the downtown area of a city. (c) Maps for Transportation and Tourism: to assist visually impaired persons in planning travel to new destinations in Canada, showing how to get to a city, and streets in the downtown area.

Map of Municipalities in the Strait of Georgia' Description:The 'Map of Municipalities in the Strait of Georgia' visually demonstrates to the viewer the municipalities that are found within the Strait of Georgia region of British Columbia. The map includes all eligible municipalities within this area, such as villages, towns, and cities. Furthermore, the map includes basic information on each municipality, such as its website, social media pages, and contact information. This map was compiled in 2021, with the use of both open-source data and information provided by the Government of British Columbia and the Pacific Salmon Foundation.Map Data Sources:The 'Map of Municipalities in the Strait of Georgia' was made possible thanks to the data provided by the Government of British Columbia and the Pacific Salmon Foundation.Contact Us: If you have any questions regarding the map or wish to have your municipality featured within it, then please fill out our form by clicking here.Using the Map:Please feel free to use the search menu to look up the particular community or municipality that you are looking for.

The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps. The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps.

The 'Aquatic Conservation NGO Map of BC' illustrates various community and citizen-science driven initiatives in British Columbia that are involved in the conservation of our waters, with a particular focus on non-for-profits. The map showcases to the viewer information about an organization, such as contact info and website link, thus enabling them to easily reach out or learn more. Using the Map:Pan and zoom around the map to investigate organizations in an area of interest. Alternatively, use the search menu in the top right of the map to look up a particular aquatic conservation non-governmental organization.Select a point in the map to reveal the information about the organization. If the point appears as a 'cluster', zoom in more to reveal the individual points contained in the cluster.Map Data Sources:The 'Aquatic Conservation NGO Map of BC' was made possible thanks to data available on the Fisheries and Oceans Canada Community Involvement Groups website, or that were provided by the PSF Community Salmon Program. To access dataset metadata or for data download, click here.Contact Us:If you have any questions regarding the map or wish to have your NGO organization featured within it, please contact us by clicking here.Disclaimer:The 'Aquatic Conservation NGO Map of BC' is not fully comprehensive of all non-governmental organizations and non-profits involved in aquatic conservation in British Columbia. The map mainly has a focus on organizations that are funded in part or in whole by the Pacific Salmon Foundation, and includes only organizations selected from the data sources mentioned above. There are many other NGOs and non-profits in BC contributing to the natural conservation of our province.

The City of Prince George uses ParcelMap BC, a service provided by the Land Title and Survey Authority of BC (LTSA). Visit ltsa.ca for more information.

The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps. The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps.

A 36" x 36" (3 foot by 3 foot) PDF map of the City of Victoria with street labels.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps.

Contained within the Atlas of Canada's Reference Map Series, 1961 to 2010, is a map of British Columbia. The map shows federal, provincial and territorial boundaries, boundaries of land districts, and boundaries for places of more than 50 000 inhabitants. The transportation content consists of roads (shown in four classes), ferries, and railways. Populated places are shown in one of five size classes. The map shows national parks and the larger provincial parks. There is also detailed coverage of glaciers and ice fields. Data are as of 1990.

Neighbourhood Boundaries in the City of Victoria. Data gets updated on an as-needed basis.The "Last Updated" date shown on our Open Data Portal refers to the last time the data schema was modified in the portal, or any changes were made to this description. We update our data through scripts which does not trigger the "last updated" date to change.Note: Attributes represent each field in a dataset, and some fields will contain information such as ID numbers. As a result some visualizations on the tabs on our Open Data page will not be relevant.

The topographic map series referred to as the State Edition (AS) primarily had a military purpose and was classified as Confidential Classified Information. At a scale of 1 : 25,000 there were 2 output variants: TK=topographic maps and TSP=topographic city maps.

As urban forest provides ecological, social, and economic values to the residents, forest inventory can monitor forest health. Based on the land classification map, the campus planning team pays attention to tree health in the public green space of the University of British Columbia (UBC) campus in Vancouver, Canada. Working together, the forest inventory and land classification map are the priorities of urban planning and forest health in UBC. In order to solve the knowledge gap of no current inventory and land classification map on campus, this study aimed to update the UBC tree inventory and land classification map. R algorithms extracted individual trees’ parameters and metrics like tree height and crown area using Light Detection and Ranging (LiDAR) data 2018 by the City of Vancouver. The author applied random forest classification to determine the tree species (coniferous/deciduous) with the metrics. Four major land cover types were classified by the supervised classification scheme using the UBC orthophoto 2020. The results show that there are 14165 trees (crown diameter more than 4 m) on campus, and the height estimation by the LiDAR method had an overall accuracy of 80% comparing to the field data. The campus’s total vegetation cover was 44% that is higher than the cities in Great Vancouver. The land classification map shows that most of the vegetation cover is on the southern campus. Considering the campus’s topography, coniferous trees on the southwest campus provided potential ecological implications of water retention and preventing soil erosion. The study provided the basis for future studies of trees, vegetation, and UBC Vancouver Campus land planning.

The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps. The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps.

Environmental NGO Map of British Columbia Description:The 'Environmental NGO Map of British Columbia' illustrates the various community and citizen-science driven environmental initiatives in British Columbia. The map showcases to the viewer the contact information and, where available, website link of the particular non-governmental organization, thus enabling them to easily reach out or learn more. Using the Map:Please feel free to use the search menu in the top right of the map to look up a particular environmental non-governmental organization of interest.Map Data Sources:The 'Environmental NGO Map of British Columbia' was made possible thanks to data available on the Fisheries and Oceans Canada Community Involvement Groups website, or provided by the PSF Community Salmon Program.Contact Us: If you have any questions regarding the map or wish to have your NGO organization featured within it, please contact us by clicking here.Disclaimer:The 'Environmental NGO Map of British Columbia' is not fully comprehensive of all non-governmental organizations and non-profits involved in aquatic conservation in British Columbia. The map mainly has a focus on organizations that are funded in part or in whole by the Pacific Salmon Foundation, and includes only organizations selected from the data sources mentioned above. There are many other NGOs and non-profits in BC contributing to the natural conservation of our province.

Bathymetric Maps – Open, are bathymetric maps that are published under the Open Government Licence – British Columbia (OGL) based on their Province of BC ownership. The associated resource Bathymetric Maps - Open – Reference Table and Maps provides a reference table that includes URLs to PDF bathymetric map files published under the OGL. The associated resource Bathymetric Maps - Open – Reference Table – Data Definitions provides data definitions for the associated resource Bathymetric Maps - Open – Reference Table and Maps.

Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In June and July 2020, the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and in collaboration with various cities in north- and west-central Missouri, completed bathymetric surveys of 12 lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At some lakes, supplemental data were collected in shallow areas using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary bench marks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. Mozingo Lake and Maryville Reservoir were surveyed in June 2020 as part of the group of lakes surveyed in 2020. However, extraordinary interest in the bathymetry at Mozingo Lake by the city of Maryville necessitated these data being released earlier than the other 2020 lakes (Huizinga and others, 2021, 2022). The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the remaining 10 lakes surveyed in 2020 are provided in ESRI Shapefile format (ESRI, 2021). Each of the lakes surveyed in 2020 except Higginsville has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. Data from the surveys at the Upper and Lower Higginsville Reservoirs are in two zip files on a single child page, one for the bathymetric data and one for the bathymetric quality assurance data of both lakes, and a single summary metadata file. The zip files follow the format of "####2020_bathy_pts.zip" or "####2020_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file. The various reference marks and additional points from all the lake surveys are provided in ESRI Shapefile format (ESRI, 2021) with an attribute table on the main landing page. Attribute/column labels of this table are described in the "Entity and attribute" section of the metadata file. References Cited: Environmental Systems Research Institute, 2021, ArcGIS: accessed May 20, 2021, at https://www.esri.com/en-us/arcgis/about-arcgis/overview Huizinga, R.J., 2014, Bathymetric surveys and area/capacity tables of water-supply reservoirs for the city of Cameron, Missouri, July 2013: U.S. Geological Survey Open-File Report 2014–1005, 15 p., https://doi.org/10.3133/ofr20141005. Huizinga, R.J., Oyler, L.D., and Rivers, B.C., 2022, Bathymetric contour maps, surface area and capacity tables, and bathymetric change maps for selected water-supply lakes in northwestern Missouri, 2019 and 2020: U.S. Geological Survey Scientific Investigations Map 3486, 12 sheets, includes 21-p. pamphlet, https://doi.org/10.3133/sim3486. Huizinga R.J., Rivers, B.C., and Oyler, L.D., 2021, Bathymetric and supporting data for various water supply lakes in northwestern Missouri, 2019 and 2020 (ver. 1.1, September 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P92M53NJ. Richards, J.M., 2013, Bathymetric surveys of selected lakes in Missouri—2000–2008: U.S. Geological Survey Open-File Report 2013–1101, 9 p. with appendix, https://pubs.usgs.gov/of/2013/1101. Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes, https://doi.org/10.3133/tm11D1.

The topographical maps, referred to as the issuing State (AS), were primarily for military purposes and carried the classification level of Confidential classified information. In scale 1: There were 25,000 output variants: TK=topographic maps and TSP=topographic city maps.

LiDAR (Light Detection and Ranging) data of the City of Vancouver and UBC Endowment Lands with an Area of Interest (AOI) covering a total of 134 square kilometers.​Data products includes a classification that defines "bare earth" ground surface, water and of the upper most surface defined by vegetation cover, buildings and other structures.Data accessEach of the 181 polygons on the map or rows in the table provides corresponding link to the data in LAS format (zipped, file sizes range from 16.45MB to 2.74GB).AttributesPoint data was classified as:Unclassified;Bare-earth and low grass;Low vegetation (height <2m);High vegetation (height >2m);Water;Buildings;Other; andNoise (noise points, blunders, outliners, etc) Note​The 2022 LiDAR data is being utilized for initiatives including land management, planning, hazard assessment, (e.g. floods, landslides, lava flows, and tsunamis), urban forestry, storm drainage, and watershed analysis. Data currency​Aerial LiDAR was acquired on September 7th and September 9th, 2022 and is current as of those dates. Data accuracyThe LiDAR data is positioned with a mean density of approximately 49 points per square metreSidelap: minimum of 60% in north-south and east-west directionsVertical accuracy: 0.081 metre (95% confidence level)Coordinate system​The map of grid cells on this portal is in WGS 84 but the LiDAR data in the LAS files are in the following coordinate system:Projection: UTM Zone 10 (Central Meridian 123 West)Hz Datum: NAD 83 (CSRS) 4.0.0.BC.1.GVRDVertical Datum: CGVD28GVRDMetro Vancouver Geoid (HTMVBC00_Abbbyn.zip) Websites for further information City boundary dataset