Boundaries for land designated by a local planning authority as being green belt, grouped using the greenbelt core category. This data is compiled by the Ministry of Housing, Communities and Local Government for the purposes of gathering green belt statistics.

Here we produced the first 10 m resolution urban green space (UGS) map for the main urban clusters across 371 major Latin American cities as of 2017. Our approach applied a supervised classification of Sentinel-2 satellite imagery and UGS samples derived from OpenStreetMap (OSM). The overall accuracy of this UGS map in 11 randomly selected cities was 0.87, evaluated by independently collected validation samples (‘ground truth’). We further improved mapping quality through a visual inspection and additional sample collection. The resulting UGS map enables studies to measure area, spatial configuration, and human exposures to UGS, facilitating studies about the relationship between UGS and human exposures to environmental hazards, public health outcomes, and environmental justice issues in Latin American cities.UGS in this map series includes grass, shrub, forest, and farmland, and non-UGS included buildings, pavement, roads, barren land, and dry vegetation.The UGS map series includes three sets of files:(1) binary UGS maps at 10 m spatial resolution in GEOTIFF format (UGS.zip), with each of the 371 cities being an individual map. Mapped value of 1 indicates UGS, 0 indicates non-UGS, and no data (with value of -32768) indicates areas outside the mapped boundary or water bodies;(2) a shapefile of mapped boundaries (Boundaries.zip). The boundary file contains city name, country name and its ISO-2 country code, and an ID field linking each city's boundary to the corresponding UGS map.(3) .prj files containing projection information for the binary UGS maps and boundary shapefile. The binary UGS maps are projected with World Geodetic System (WGS) 84 / Pseudo-Mercator projected coordinate system (EPSG: 3857), and the boundary shapefile is projected with WGS 1984 geographic coordinate system (EPSG: 4326)Reference: A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap, published by Scientific Data [link].Citation: Ju, Y., Dronova, I., & Delclòs-Alió, X. (2022). A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap. Scientific Data, 9, Article 1. https://doi.org/10.1038/s41597-022-01701-y

This map was created by the GLA in 2017 as a preliminary analysis of the potential for woodland creation in London’s Green Belt, which covers 35,000 hectares. The map shows land in London’s Green Belt which could have potential for woodland creation, described as, ‘plantable areas’, based on an assessment of land use data.

This cartographic quality series of 1:1 000 000 scale colour maps cover the provincial extent of Alberta. The primary provincial base map displays the Alberta Township System (ATS), major hydrographic features, municipalities, major roads, railways and select geoadministrative features (parks, reserves, etc.). In addition to the primary provincial base map, this series includes various themes that overlay the primary base map. Each individual map sheet is provided in Adobe .pdf format.

This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, and green space. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

It is a summary map created through the elaboration of the base maps on a scale of 1:25,000 at a scale of 1,100,000 and, by subsequent reduction, at a scale of 1:200,000. The contents are basically the same as those of the base card; in order not to lose too much information in the synthesis process, both areas have been indicated in areas with two uses. For each area, in the case of mixed use, in addition to the main use, indicated by colour, the subordinate use is also indicated by means of an abbreviation. The classes represented are: - Built - Infrastructure - Green area serving the urban area - Arable land - Rice field - Arable land with trees - Arable land with olive trees - Vineyard - Vineyard and orchard - Orchard - Olive grove - Wood arboriculture (poplar grove) - Hardwood forest of the basal or submontane plane - Chestnut grove - Wood dominated by conifers - Recent reforestation - Wood dominated by beech - Pasture and/or productive uncultivated land even if used partially and/or temporarily for arable land - Uncultivated bushland and/or covering surface very scarce arboreal - Area with prevalently lithoid outcrop - Area affected by mining activity - River, lake, marsh, salt marsh.

This cartographic quality series of 1:1 000 000 scale colour maps cover the provincial extent of Alberta. The primary provincial base map displays the Alberta Township System (ATS), major hydrographic features, municipalities, major roads, railways and select geoadministrative features (parks, reserves, etc.). In addition to the primary provincial base map, this series includes various themes that overlay the primary base map. Each individual map sheet is provided in Adobe .pdf format.

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the Green Bay peninsula and surrounding area on Lake Michigan.

This cartographic quality series of printable 1:2 000 000 scale colour maps cover the provincial extent of Alberta. The 1:2 000 000 scale maps are a generalized small scale version of the 1:1 000 000 scale map. The primary provincial base map displays the Alberta Township System (ATS), major hydrographic features, municipalities, major roads, and select geo-administrative features (parks, reserves, etc.). In addition to the primary provincial base map, this series includes various themes that overlay the primary base map. Refer to the 'time period of content' in the metadata record for currency of each map product. Each individual map sheet is provided in Adobe .pdf format. This series is generally updated on an annual basis.

Explore Bahrain's history through interactive historical maps from the 19th century onwards. Discover urban development, land reclamation, green belt, and geographical changes over time.

description: This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. In this community, forest is defined as Trees & Forest and Woody Wetlands and green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).; abstract: This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, and wetlands. In this community, forest is defined as Trees & Forest and Woody Wetlands and green space is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, green space is defined as Trees & Forest, Shrubs, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This cartographic quality series of printable 1:2 000 000 scale colour maps cover the provincial extent of Alberta. The 1:2 000 000 scale maps are a generalized small scale version of the 1:1 000 000 scale map. The primary provincial base map displays the Alberta Township System (ATS), major hydrographic features, municipalities, major roads, and select geo-administrative features (parks, reserves, etc.). In addition to the primary provincial base map, this series includes various themes that overlay the primary base map. Refer to the 'time period of content' in the metadata record for currency of each map product. Each individual map sheet is provided in Adobe .pdf format. This series is generally updated on an annual basis.

This EnviroAtlas dataset describes the percentage of each block group that is classified as impervious, forest, green space, wetland, and agriculture. Impervious is a combination of dark and light impervious. Forest is combination of trees and forest and woody wetlands. Green space is a combination of trees and forest, grass and herbaceous, agriculture, woody wetlands, and emergent wetlands. Wetlands includes both Woody and Emergent Wetlands. This dataset also includes the area per capita for each block group for impervious, forest, and green space land cover. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. In this community, In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Identification of the boundaries of the seven adopted greenbelts in Ventura County. Includes the Fillmore-Piru, Oxnard-Camarillo, Santa Paula-Fillmore, Santa Rosa Valley, Tierra Rejada, Ventura-Oxnard, and Ventura-Santa Paula Greenbelts. NOTE: 1) The Ventura-Santa Paula Greenbelt was amended by the Board of Supervisors on February 14, 2007. The previous boundaries have been archived in the History feature dataset. 2) The Ventura Oxnard Eastern Addition and the Ventura-Oxnard Southern Addition have been adopted by the City of Oxnard but have not yet been acted on by the City of Ventura, the County of Ventura, or the Local Agency Formation Commission. 3) On Nov. 10, 2009, the Board of Supervisors adopted Ordinance No. 4404, amending the Tierra Rejada greenbelt's boundaries to remove the Reagan Library and the six parcels south of it. The cities of Simi Valley and Thousand Oaks amended the boundaries, excluding from the greenbelt not only these parcels, but also parcel 500-0-400-35. The City of Moorpark amended the boundaries to match the County's action. As of January 2010, the three cities and the County are scheduled to meet and agree on actions to resolve these differences. 4) On June 22, 2010, the Board of Supervisors approved revisions to the map for the Santa Paula - Fillmore Greenbelt. (GB agreement embodied as an Ordinance no. 4415, rather than a resolution, with revised map attached.) The total number of acres is now 32,649; approx. 1,865 acres were added; approx. 774 acres were removed. (There are feature classes showing the parcels that have been removed and those that have been added: SPF_removed2010 and SPF_added2010, in the Greenbelts Geodatabase History feature dataset.) In general, revisions were made so that the GB boundary would be coterminous with CURB lines, Area of Interest lines, Los Padres Mnts. boundary, and city limits. Major removals include: East Area 1 near Santa Paula, land that is now within the City of Fillmore, and adjustments made along the southern boundary to remove land outside the Area of Interest boundaries of the 2 cities. Major additions include acreage south of Santa Paula, west of Fillmore, and along the southern boundary of the greenbelt along the Area of Interest boundaries. Fillmore approved identical boundaries on March 30, 2010, (Ordinance 10-816). Santa Paula approved identical boundaries on February 1, 2010, (Ord. No. 1226; amends Ord. 1216. LAFCo 13-06 City of Oxnard Reorganization, (recorded Aug. 31, 2012): http://www.ventura.lafco.ca.gov/recorded-documents/

This cartographic quality series of 1:1 000 000 scale colour maps cover the provincial extent of Alberta. The primary provincial base map displays the Alberta Township System (ATS), major hydrographic features, municipalities, major roads, railways and select geoadministrative features (parks, reserves, etc.). In addition to the primary provincial base map, this series includes various themes that overlay the primary base map. This map also includes caribou ranges which display the boundaries that are derived from the known ranges of Caribou herds, as determined through historical information, the movements of collared animals (telemetry) and aerial surveys. Each individual map sheet is provided in Adobe .pdf format.

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest, Grass & Herbaceous, and Agriculture. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the “San Mateo Fine Scale Veg Map”, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County’s habitats and natural resources.Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists including Neal Kramer, Brett Hall, Lucy Ferneyhough, Brittany Burnett, Patrick Furtado, and Rosie Frederick. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation), with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) and ecologists with NatureServe (https://www.natureserve.org/) to develop a San Mateo County-specific vegetation classification. For more information on the field sampling and vegetation classification work San Mateo County Fine Scale Vegetation Map Final Report refer to the final report (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212663) issued by CNPS and corresponding floristic descriptions (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212666 and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667).Existing lidar data, collected in 2017 by San Mateo County was used to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as various dates of National Agriculture Imagery Program (NAIP) imagery. Key data sets used in the lifeform and the enhanced lifeform mapping process include high resolution aerial imagery from 2018, the lidar-derived Canopy Height Model (CHM), and several other lidar-derived raster and vector datasets. In addition, a number of forest structure lidar derivatives are used in the machine learning portion of the enhanced lifeform workflow.In 2020, an enhanced lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.In 2020, Tukman Geospatial staff and partners conducted countywide reconnaissance field work to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2021, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In early January of 2022, draft maps were distributed and reviewed by San Mateo County’s community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in April 2022. In total, 106 vegetation classes were mapped. During the classification development phase, minimum mapping units (MMUs) were established for the vegetation mapping project. An MMU is the smallest area to be mapped on the ground. For this project, the mapping team chose to map different features at different MMUs. The MMU is 1/4 acre for agricultural, woody riparian, and wetland herbaceous classes; 1/2 acre for woody upland, upland herbaceous, and bare land classes; 1/5 acre for developed feature types; and 400 square feet for water.Accuracy assessment plot data were collected in 2021 and 2022. Accuracy assessment results were compiled and analyzed in the April of 2022. Overall accuracy of the lifeform map is 98 percent. Overall accuracy of the fine-scale vegetation map is 83.5 percent, with an overall ‘fuzzy’ accuracy of 90.8 percent.