{28e3f937-6f22-45c5-98cf-1707b0fc92df} eng; USA utf8 dataset EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas pointOfContact 2025-02-13 ISO 19115 Geographic Information - Metadata ISO 19115:2003/Cor.1:2006(E) EnviroAtlas - Cleveland, OH - Estimated Percent Tree Cover Along Walkable Roads 2016-10-06 publication U.S. EPA Office of Research & Development (ORD) - National Exposure Research Laboratory (NERL) Research Triangle Park NC publisher US Environmental Protection Agency (US EPA) originator This EnviroAtlas dataset estimates tree cover along walkable roads. The road width is estimated for each road and percent tree cover is calculated in a 8.5 meter strip beginning at the estimated road edge. Percent tree cover is calculated for each block between road intersections. In this community, tree cover is defined as Trees & Forest and Woody Wetlands. Tree cover provides valuable benefits to neighborhood residents and walkers by providing shade, improved aesthetics, and outdoor gathering spaces. 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) The purpose of this dataset is to examine tree cover along walkable roads within the study area. The overall goal of EnviroAtlas is to employ and develop the best available science to map indicators of ecosystem services production, demand, and drivers for the nation. completed EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas pointOfContact asNeeded Ecosystem Environment theme EPA GIS Keyword Thesaurus Air Communities Ecosystem Services EnviroAtlas Environment Environmental Atlas Health Human Well-being Land Cover Transportation Trees theme EnviroAtlas Ohio Cleveland, OH place None https://edg.epa.gov/EPA_Data_License.html otherRestrictions Use Constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated. otherRestrictions Access Constraints: None. PUBLIC https://project-open-data.github.io/schema/#accessLevel Standard Technical Controls eng; USA environment health transportation -82.07722 -81.00209 41.20277 41.84987 2011-01-01 2013-01-01 true Entity and Attribute Information Entity and Attribute Overview: For more information about EnviroAtlas data, go to https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets. In this dataset, the percentage of potential street tree cover is displayed for each hypothetically walkable city block. Tree cover within 8.5 meters of either estimated road edge was included in the calculation. This dataset can be used by researchers, communities, and decision-makers to assess road-side green infrastructure. Processing steps were completed using Python scripts. A comprehensive list of metric creation steps is included in the Processing Steps. Entity and Attribute Detail Citation: https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas distributor https://enviroatlas.epa.gov/download/CleOH_PctStTC_tif.zip download Download The URL providing direct access to the downloadable dataset. download https://enviroatlas.epa.gov/arcgis/rest/services/Supplemental/PctStTC_AllCommunities/MapServer ESRI:ArcGIS API The endpoint of a web service to access the dataset (REST endpoint, WMS GetCapabilities URL, or a SOAP WSDL endpoint). webMapService https://www.epa.gov/enviroatlas/enviroatlas-data information Documentation URL for accessing related documents such as data dictionary, technical information about a dataset, developer documentation, etc. information https://www.epa.gov/enviroatlas information Home Page Alternative landing page used to redirect user to a contextual, Agency-hosted "homepage" for the Dataset or API information dataset Horizontal Positional Accuracy Report Data were collected using methods that have unknown accuracy (EPA National Geospatial Data Policy [NGDP] Accuracy Tier 10). For more information, please see EPA's NGDP at https://epa.gov/geospatial/policies.html Features represented have not been tested for completeness Features represented have not been tested for completeness Tests for integrity have not been performed. This lineage was generated by the FGDC CSDGM to 19139 transformation Begin with the 2011 NavTeq Streets Layer and the 1-Meter Land Cover Classification for the EnviroAtlas community created by the US EPA EnviroAtlas Team. 2016-09-26T00:00:00 Clip the NavTeq Streets layer to the EnviroAtlas community boundary and project into UTM. 2016-09-26T00:00:00 Remove roads with multiple entrance/exit ramps and roads with speed limits above 54 mph. Remove any additional, non-walkable roads at the discretion of the analyst. 2016-09-26T00:00:00 Reclassify into forest (Trees & Forest - 40, Woody Wetlands - 91, = 1; All Else = 'NODATA') 2016-09-26T00:00:00 Convert the reclassified raster into GeoTIFF for partial processing. 2016-09-26T00:00:00 Split the reclassified raster into pieces of no more than 40,000x40,000 pixels, if necessary. 2016-09-26T00:00:00 Convert each piece of raster into polygons then merge all the pieces back together. 2016-09-26T00:00:00 Unsplit the walkable roads and intersecting them with themselves to create a point at each intersection. 2016-09-26T00:00:00 Add and calculate new fields: totLanes (short) = TO_LANES + FROM_LANES; dirTrvl (short) = 2 if DIR_TRAVEL='B'; else = 1; numLanes (short) = totLanes if totLanes > 0; else = 2 2016-09-26T00:00:00 Dissolve the walkable Roads by number of lanes (totLanes) and direction of travel (dirTrvl). 2016-09-26T00:00:00 Split the dissolved walkable roads at each intersection point to create road blocks. 2016-09-26T00:00:00 Calculate the estimated width of the road (number of lanes * 3.5 meters/lane + 2.5 meters of parking lanes per direction of travel) plus the focus area: Mx_Buff (float) = (numLanes*3.5 + 2.5*dirTrvl)/2 + 7.5. Buffer the roads by this value. 2016-09-26T00:00:00 Calculate the width of the road less one meter (to account for narrower roads; number of lanes * 3.5 meters/lane + 2.5 meters of parking lanes per direction of travel): Mn_Buff (float)= (numLanes*3.5 + 2.5*dirTrvl)/2 - 1. Buffer the roads by this value. 2016-09-26T00:00:00 Create the focus area feature class by erasing the second, smaller buffer from the first, larger buffer. 2016-09-26T00:00:00 Add and calculate fields road_ID (float) = ORIG_FID and seg_area (float) = Shape_area in the focus area feature class. 2016-09-26T00:00:00 Intersect the focus areas with the forest polygon layer to generate forest alongside roads 2016-09-26T00:00:00 Dissolve the forest along roads by the road identifier field: road_ID, maintain the Shape_Area field. 2016-09-26T00:00:00 Calculate new variable in the forest grouped by road identifier layer: Pct_TC (float) = Shape_Area*100 / seg_area 2016-09-26T00:00:00 Join the Pct_TC field to the road layer based on the road_ID field 2016-09-26T00:00:00 Change null values in the Pct_TC field to 0 2016-09-26T00:00:00 Clip road file to the community boundary. 2016-09-26T00:00:00 Project the road file into Albers. 2016-09-26T00:00:00 Copy the feature class to the final geodatabase for use in EnviroAtlas. 2016-09-26T00:00:00 Convert the road file to raster with the Pct_TC as the value field and a cell size of 10m 2016-09-26T00:00:00 Project the final road raster into Web Mercator for display in EnviroAtlas 2016-09-26T00:00:00 unknown 2029-02-13 This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2024-02-09T11:11:00 version of the FGDC CSDGM to ISO 19139 transform. EnviroAtlas Coordinator U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas Geospatial Data Owner (919) 541-3832 109 T.W. Alexander Drive Research Triangle Park NC 27709 EnviroAtlas@epa.gov https://www.epa.gov/enviroatlas pointOfContact