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This dataset is a point representation of municipal golf courses maintained by the Department of Parks and Recreation in the City and County of Denver.

This dataset represents public schools composed of all public elementary and secondary education in Denver, Colorado. For each field, the Not Available and NULL designations are used to indicate that the data for the particular record and field is unavailable. This dataset was derived from data provided by the National Center for Education Statistics (Institute of Education Sciences), US Department of Education. The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

This map includes data that represents parks, golf courses, and recreation centers within the boundaries of the City and County of Denver. This data was derived from data in the City of Denver Open Data Catalog (http://data.denvergov.org). The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. Fifty-one map classes were developed to describe the COLM vegetation mapping project area. Of these, 26 are NVC-based vegetation map classes, four are geology map classes, seven are vegetated land use map classes and 14 are non-vegetated land-use map classes. Of the 26 vegetation map classes, 16 represent single NVC plant associations; the other 10 map classes contain multiple plant associations. One map class consists of point data representing seep and spring vegetation. It is contained in a separate coverage from the polygon map classes.

This dataset should be used as reference to locate playgrounds in parks and other areas maintained by the Department of Parks and Recreation in the City and County of Denver. The data should be used for planning and design purposes and cartographic purposes only.

This dataset represents historic landmark districts within the boundaries of the City and County of Denver. This data was derived from data in the City of Denver Open Data Catalog (http://data.denvergov.org). The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

This dataset represents police districts within the boundaries of the City and County of Denver. This data was derived from data in the City of Denver Open Data Catalog (http://data.denvergov.org). The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

Montbello Bicycle Safety Course Swipe Map shows imagery from 7/31/2020 when the project was completed.

This map includes data that represents historic landmarks and historic landmark districts within the boundaries of the City and County of Denver. The data in this map was derived from data in the City of Denver Open Data Catalog (http://data.denvergov.org). The data and related materials are made available through Esri (http://www.esri.com) and are intended for educational purposes only (see Access and Use Constraints section).

This dataset should be used as reference to locate parks, golf courses, and recreation centers managed by the Department of Parks and Recreation in the City and County of Denver. Data is based on parcel ownership and does not include other areas maintained by the department such as medians and parkways.The data should be used for planning and design purposes and cartographic purposes only.

The land use/land cover was created using USDA’s 1-meter National Agriculture Imagery Program (NAIP) 2017 aerial imagery, and leaf-off aerial orthoimagery captured in March 2018 (6-inch resolution everywhere except the mountainous regions to the west, which came in 1-foot resolution).Where available and accurate, high resolution planimetric datasets were incorporated, reflecting ground conditions in 2016: building footprints, driveways and sidewalks, edge of pavement (including most roads), and parking lots. Class Definitions:1. StructuresHuman-constructed objects made of impervious materials that are greater than approximately 2 meters in height. Houses, malls, and electrical towers are examples of structures. MMU = 9 square meters.2. Impervious SurfacesHuman-constructed surfaces through which water cannot penetrate, and that are below approximately 2 meters in height. This includes asphalt, concrete, gravel, pavement, treated lumber (e.g. docks and decks), and dirt roads/hard-packed dirt lots, etc. MMU = 9 square meters, minimum 2 meters wide for linear features.3. WaterAll areas of open water, generally with less than 25% cover of vegetation/land cover. This includes water-filled backyard pools, ponds, lakes, rivers, natural tidal pools in wetland areas, and boats that are not attached to docks. MMU = 9 square meters.4. Prairie/Grassland/Natural Ground CoverLarge open semi-arid areas composed of perennial grasses, herbaceous vegetation, and shrubs. These lands are often used for ranching and grazing but are not managed beyond these activities. This class also includes unmanaged natural ground cover that is less than a meter tall, such as wetland areas. MMU = 9 square meters.5. Tree CanopyDeciduous and evergreen woody vegetation of either natural succession or human planting that is over approximately 5 meters in height. Stand-alone individuals, discrete clumps, and interlocking individuals are included. MMU = 9 square meters. Includes individual large shrubs. 6. Turf/Irrigated LandsTurf grass and areas of land that are actively managed and watered that do not fall in the cropland class. Examples of turf: lawns, cemeteries, golf courses, sports fields. MMU = 9 square meters.7. Barren landAreas void of vegetation consisting of natural earthen material regardless of how it has been cleared. This includes beaches, mud flats, bedrock, xeriscaped lawns, and bare ground in construction sites (hard-packed paths/roads in construction sites would be better suited for the impervious class). MMU = 25 square meters.8. CroplandLarge fields, generally found in non-urban areas used for the production of various annual crops. These lands can be in active or inactive use, but must show visual signs of recent usage from the 2017 NAIP imagery, such as tilled fields or tire tracks. The USDA Farm Service Agency 2008 Common Land Unit (CLU) boundaries were used to guide the visual interpretation of the landscape. Irrigated fields that were not in relative proximity to the CLU boundaries and were well within the Census Urban Area boundary were not included in the cropland class.

The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2010 CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 5 TM sensor, Landsat 7 ETM+ sensor, and the Indian Remote Sensing RESOURCESAT-1 (IRS-P6) Advanced Wide Field Sensor (AWiFS) collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the USGS National Land Cover Database 2001 (NLCD 2001), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2001 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer.