This layer can be used to view parcel property boundaries in the County of Burlington, NJ. Note that the property boundaries displayed here are not survey grade and are intended for planning level purposes. Most are based on tax maps which were digitized and then aligned to aerial photography (geo-referenced).

Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

This map was created to be used in the CBF website map gallery as updated satellite imagery content for the Chesapeake Bay watershed.This map includes the Chesapeake Bay watershed boundary, state boundaries that intersect the watershed boundary, and NLCD 2019 Land Cover data as well as a imagery background. This will be shared as a web application on the CBF website within the map gallery subpage.

The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. NASA and the USGS have again partnered to develop the Global Land Survey 2010 (GLS2010), a new global land data set with core acquisition dates of 2008-2011. This dataset consists of both Landsat TM and ETM+ images that meet quality and cloud cover standards established by the earlier GLS collections. Data acquired in 2011 were used to fill areas of low image quality or excessive cloud cover.

City of Phoenix parcel boundaries and details are shown for use to provide the best readability when used with different basemaps or aerial photos. Not intended for surveying, legal or engineering purposes. For non-commercial purposes only! This data is updated monthly.

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. James W. Sewall Company developed a complete GIS coverage for the park and revised the preliminary vegetation map classes to better match the results from the cluster analysis and NMS ordination. Polygons representing vegetation stands were digitized on-screen in ArcGIS 8.3, and later in ArcMap 9.1 and 9.2, using lines drawn on the acetate overlays, base layers of 1:8,000 CIR aerial photography, orthorectified photo composite image, and plot location and data. The minimum map unit used was 0.5 ha (1.24 ac). Stereo pairs were used to double check stand signatures during the digitizing process. Photo interpretation and polygon digitization extended outside the NPS boundary, especially where vegetation units were arbitrarily truncated by the boundary. Each polygon was attributed with the name of a vegetation map class or an Anderson Level II land use category based on plot data, field observations, aerial photography signatures, and topographic maps. Data fields identifying the USNVC association inclusions within the vegetation map class were attributed to the vegetation polygons in the shapefile. The GIS coverages and shapefiles were projected to Universal Transverse Mercator (UTM) Zone 19 North American Datum 1983 (NAD83). FGDC compliant metadata (FGDC 1998a) were created with the NPS-MP ESRI extension and included with the vegetation map shapefile. A photointerpretation key to the map classes for the 2006 draft vegetation map is included as Appendix A. The composite vegetation coverage was clipped to the NPS 2002 MIMA boundary shapefile for accuracy assessment (AA). After the 2006 vegetation map was completed, the thematic accuracy of this map was assessed.

The U.S. Geological Survey (USGS) Aerial Photography data set includes over 2.5 million film transparencies. Beginning in 1937, photographs were acquired for mapping purposes at different altitudes using various focal lengths and film types. The resultant black-and-white photographs contain less than 5 percent cloud cover and were acquired under rigid quality control and project specifications (e.g., stereo coverage, continuous area coverage of map or administrative units). Prior to the initiation of the National High Altitude Photography (NHAP) program in 1980, the USGS photography collection was one of the major sources of aerial photographs used for mapping the United States. Since 1980, the USGS has acquired photographs over project areas that require photographs at a larger scale than the photographs in the NHAP and National Aerial Photography Program collections.

description: This dataset consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped of 1:250,000 in the continental U.S., Hawaii, Puerto, and the Virgin Islands and 1:1,000,000 in Alaska. The dataset was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined. Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the entire map unit. This dataset consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1- by 2-degree topographic quadrangle units and merged into a seamless national dataset. The soil map units are linked to attributes in the National Soil Information system relational database, which gives the proportionate extent of the component soils and their properties. These data provide information about soil features on or near the surface of the Earth. Data were collected as part of the National Cooperative Soil Survey. These data are intended for geographic display and analysis at the state, regional, and national level. The data should be displayed and analyzed at scales appropriate for 1:250,000-scale data.; abstract: This dataset consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped of 1:250,000 in the continental U.S., Hawaii, Puerto, and the Virgin Islands and 1:1,000,000 in Alaska. The dataset was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined. Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the entire map unit. This dataset consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1- by 2-degree topographic quadrangle units and merged into a seamless national dataset. The soil map units are linked to attributes in the National Soil Information system relational database, which gives the proportionate extent of the component soils and their properties. These data provide information about soil features on or near the surface of the Earth. Data were collected as part of the National Cooperative Soil Survey. These data are intended for geographic display and analysis at the state, regional, and national level. The data should be displayed and analyzed at scales appropriate for 1:250,000-scale data.

This dataset represents topographic features and facilities at Mawson and its immediate environs. Feature types include buildings, masts, tanks, roads, coastline and contours (1 metre interval). The data are included in the data available for download from a Related URL below. The data conform to the SCAR Feature Catalogue which include data quality information. See a Related URL below. Data described by this metadata record has Dataset_id = 111. Each feature has a Qinfo number which, when entered at the 'Search datasets and quality' tab, provides data quality information for the feature.

Changes have occurred at the station since this dataset was produced. For example some buildings and other structures have been removed and some added. As a result the data available for download from a Related URL below is updated with new data having different Dataset_id(s).

The Geospatial Data Gateway (GDG) provides access to a map library of over 100 high resolution vector and raster layers in the Geospatial Data Warehouse. It is the one stop source for environmental and natural resource data, available anytime, from anywhere. It allows a user to choose an area of interest, browse and select data, customize the format, then download or have it shipped on media. The map layers include data on: Public Land Survey System (PLSS), Census data, demographic statistics, precipitation, temperature, disaster events, conservation easements, elevation, geographic names, geology, government units, hydrography, hydrologic units, land use and land cover, map indexes, ortho imagery, soils, topographic images, and streets and roads. This service is made available through a close partnership between the three Service Center Agencies (SCA): Natural Resources Conservation Service (NRCS), Farm Service Agency (FSA), and Rural Development (RD). Resources in this dataset:Resource Title: Geospatial Data Gateway. File Name: Web Page, url: https://gdg.sc.egov.usda.gov This is the main page for the GDG that includes several links to view, download, or order various datasets. Find additional status maps that indicate the location of data available for each map layer in the Geospatial Data Gateway at https://gdg.sc.egov.usda.gov/GDGHome_StatusMaps.aspx

The Australian Antarctic Division holds a collection of approximately 5,500 maps and charts. A catalogue of its holdings can be searched in detail and viewed in the SCAR Antarctic Map Catalogue.

The Map Catalogue includes many historical maps dating back to the mid 1800's, thematic maps such as geological, vegetation and bathymetry maps, hydrographic charts, topographical maps, satellite image maps and orthophoto maps.

Maps for work purposes are provided to Antarctic Expeditioners and AAD staff free of charge. Members of the public may be directed to mapping sales outlets. Contact the technical officer (below) for details.

Many maps in the catalogue are digital maps available for download. These maps are provided free of charge.

The Data Centre employs a Map Curator for adding, updating and correcting map references. The Map Curator is also responsible for storing and manageing the physical copies of maps in the Data Centre Map store.

If there are any errors, please advise the Data Centre using the links on the Map Catalogue page.

The Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held …Show full descriptionThe Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held by Land and Property Information (LPI) . These maps are created at a scale of 1:25000, where 1 cm on the map represents 250 m. The data is extracted from Land and Property Information (LPI)’s Digital Topographic Database (DTDB). The maps represent the State’s topographic features, including natural, physical and cultural aspects. All maps are accompanied by either an orthophoto captured through LPI’s aerial photography program or a satellite image sourced from SPOT 5 sensors. For more information on the DTDB and definitions of each feature class, feature instance and their attributes please refer to the LPI DTDB Data Dictionary and DTDB metadata. For more information on the accompanying orthophoto, please refer to its individual metadata record.

The Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held …Show full descriptionThe Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held by Land and Property Information (LPI) . These maps are created at a scale of 1:25000, where 1 cm on the map represents 250 m. The data is extracted from Land and Property Information (LPI)’s Digital Topographic Database (DTDB). The maps represent the State’s topographic features, including natural, physical and cultural aspects. All maps are accompanied by either an orthophoto captured through LPI’s aerial photography program or a satellite image sourced from SPOT 5 sensors. For more information on the DTDB and definitions of each feature class, feature instance and their attributes please refer to the LPI DTDB Data Dictionary and DTDB metadata. For more information on the accompanying orthophoto, please refer to its individual metadata record.

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 datasets for Great Britain are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

Summary: This dataset contains an inventory of City of Los Angeles Sidewalks and related features (Access Ramps, Curbs, Driveways, and Parkways).Background: This inventory was performed throughout 2017 using a combination of G.I.S software, aerial imagery (2014 LARIAC), and a geographic dataset of property/right-of way lines. The dataset has not been updated since its creation.Description: The following provides more detail about the feature classes in this dataset. All features were digitized (“traced”) as observed in the orthophotography (digital aerial photos) and assigned the Parcel Identification Number (PIN) of their corresponding property:Sidewalk (polygon) – represents paved pedestrian walkways. Typical widths are between 3‐6 feet in residential areas and larger and more variable in commercial and high‐density traffic areas.Alley-Sidewalk (polygon) – represents the prevailing walkway or path of travel at the entrance/exit of an alley. Digitized as Sidewalk features but categorized as Alley Sidewalk and assigned a generic PIN value, ALLEY SIDEWALK.Corner Polygon (polygon) - feature created where sidewalks from two streets meet but do not intersect (i.e. at corner lots). There’s no standard shape/type and configurations vary widely. These are part of the Sidewalk feature class.In commercial and high‐density residential areas where there is only continuous sidewalk (no parkway strip), the sidewalk also functions as a Driveway.Driveway (polygon) – represents area that provides vehicular access to a property. Features are not split by extended parcel lot lines except when two adjacent properties are served by the same driveway approach (e.g. a common driveway), in which case they are and assigned a corresponding PIN.Parkway (polygon) – represents the strip of land behind the curb and in front of the sidewalk. Generally, they are landscaped with ground cover but they may also be filled in with decorative stone, pavers, decomposed granite, or concrete. They are created by offsetting lines, the Back of Curb (BOC) line and the Face of Walk (FOW). The distance between the BOC and FOW is measured off the aerial image and rounded to the nearest 0.5 foot, typically 6 – 10 feet.Curb (polygon) – represents the concrete edging built along the street to form part of the gutter. Features are always 6” wide strips and are digitized using the front of curb and back of curb digitized lines. They are the leading improvement polygon and are created for all corner, parkway, driveway and, sidewalk (if no parkway strip is present) features.Curb Ramp, aka Access Ramp (point) – represents the geographic center (centroid) of Corner Polygon features in the Sidewalk feature class. They have either a “Yes” or “No” attribute that indicates the presence or absence of a wheelchair access ramp, respectively.Fields: All features include the following fields...FeatureID – a unique feature identifier that is populated using the feature class’ OBJECTID fieldAssetID – a unique feature identifier populated by Los Angeles City staff for internal usePIND – a unique Parcel Identification Number (PIN) for all parcels within the City of L.A. All Sidewalk related features will be split, non-overlapping, and have one associated Parcel Identification Number (PIN). CreateDate – indicates date feature was createdModifiedDate – indicates date feature was revised/editedCalc_Width (excluding Access Ramps) – a generalized width of the feature calculated using spatial and mathematical algorithms on the feature. In almost all cases where features have variable widths, the minimum width is used. Widths are rounded to the nearest whole number. In cases where there is no value for the width, the applied algorithms were unable to calculate a reliable value.Calc_Length (excluding Access Ramps) – a generalized length of the feature calculated using spatial and mathematical algorithms on the feature. Lengths are rounded to the nearest whole number. In cases where there is no value for the length, the applied algorithms were unable to calculate a reliable value.Methodology: This dataset was digitized using a combination of G.I.S software, aerial imagery (2014 LARIAC), and a geographic dataset of property/right-of way lines.The general work flow is as follows:Create line work based on digital orthophotography, working from the face‐of‐curb (FOC) inward to the property right-of-way (ROW)Build sidewalk, parkway, driveway, and curb polygons from the digitized line workPopulate all polygons with the adjacent property PIN and classify all featuresCreate Curb Ramp pointsWarnings: This dataset has been provided to allow easy access and a visual display of Sidewalk and related features (Parkways, Driveway, Curb Ramps and Curbs). Every reasonable effort has been made to assure the accuracy of the data provided; nevertheless, some information may not be accurate. The City of Los Angeles assumes no responsibility arising from use of this information. THE MAPS AND ASSOCIATED DATA ARE PROVIDED WITHOUT WARRANTY OF ANY KIND, either expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular purpose. Other things to keep in mind about this dataset are listed below:Obscured Features – The existence of dense tree canopy or dark shadows in the aerial imagery tend to obscure or make it difficult to discern the extent of certain features, such as Driveways. In these cases, they may have been inferred from the path in the corresponding parcel. If a feature and approach was completely obscured, it was not digitized. In certain instances the coloring of the sidewalk and adjacent pavement rendered it impossible to identify the curb line or that a sidewalk existed. Therefore a sidewalk may or may not be shown where one actually may or may not exist.Context: The following links provide information on the policy context surrounding the creation of this dataset. It includes links to City of L.A. websites:Willits v. City of Los Angeles Class Action Lawsuit Settlementhttps://www.lamayor.org/willits-v-city-la-sidewalk-settlement-announcedSafe Sidewalks LA – program implemented to repair broken sidewalks in the City of L.A., partly in response to the above class action lawsuit settlementhttps://sidewalks.lacity.org/Data Source: Bureau of EngineeringNotes: Please be aware that this dataset is not actively being maintainedLast Updated: 5/20/20215/20/2021 - Added Calc_Width and Calc_Length fieldsRefresh Rate: One-time deliverable. Dataset not actively being maintained.

Declassified satellite images provide an important worldwide record of land-surface change. With the success of the first release of classified satellite photography in 1995, images from U.S. military intelligence satellites KH-7 and KH-9 were declassified in accordance with Executive Order 12951 in 2002. The data were originally used for cartographic information and reconnaissance for U.S. intelligence agencies. Since the images could be of historical value for global change research and were no longer critical to national security, the collection was made available to the public.

Keyhole (KH) satellite systems KH-7 and KH-9 acquired photographs of the Earth’s surface with a telescopic camera system and transported the exposed film through the use of recovery capsules. The capsules or buckets were de-orbited and retrieved by aircraft while the capsules parachuted to earth. The exposed film was developed and the images were analyzed for a range of military applications.

The KH-7 surveillance system was a high resolution imaging system that was operational from July 1963 to June 1967. Approximately 18,000 black-and-white images and 230 color images are available from the 38 missions flown during this program. Key features for this program were larger area of coverage and improved ground resolution. The cameras acquired imagery in continuous lengthwise sweeps of the terrain. KH-7 images are 9 inches wide, vary in length from 4 inches to 500 feet long, and have a resolution of 2 to 4 feet.

The KH-9 mapping program was operational from March 1973 to October 1980 and was designed to support mapping requirements and exact positioning of geographical points for the military. This was accomplished by using image overlap for stereo coverage and by using a camera system with a reseau grid to correct image distortion. The KH-9 framing cameras produced 9 x 18 inch imagery at a resolution of 20-30 feet. Approximately 29,000 mapping images were acquired from 12 missions.

The original film sources are maintained by the National Archives and Records Administration (NARA). Duplicate film sources held in the USGS EROS Center archive are used to produce digital copies of the imagery.

The Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held …Show full descriptionThe Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held by Land and Property Information (LPI) . These maps are created at a scale of 1:25000, where 1 cm on the map represents 250 m. The data is extracted from Land and Property Information (LPI)’s Digital Topographic Database (DTDB). The maps represent the State’s topographic features, including natural, physical and cultural aspects. All maps are accompanied by either an orthophoto captured through LPI’s aerial photography program or a satellite image sourced from SPOT 5 sensors. For more information on the DTDB and definitions of each feature class, feature instance and their attributes please refer to the LPI DTDB Data Dictionary and DTDB metadata. For more information on the accompanying orthophoto, please refer to its individual metadata record.

This map is designated as Final.Land-Use Data Quality ControlEvery published digital survey is designated as either ‘Final’, or ‘Provisional’, depending upon its status in a peer review process. Final surveys are peer reviewed with extensive quality control methods to confirm that field attributes reflect the most detailed and specific land-use classification available, following the standard DWR Land Use Legendspecific to the survey year. Data sets are considered ‘final’ following the reconciliation of peer review comments and confirmation by the originating Regional Office. During final review, individual polygons are evaluated using a combination of aerial photointerpretation, satellite image multi-spectral data and time series analysis, comparison with other sources of land use data, and general knowledge of land use patterns at the local level.Provisionaldata sets have been reviewed for conformance with DWR’s published data record format, and for general agreement with other sources of land use trends. Comments based on peer review findings may not be reconciled, and no significant edits or changes are made to the original survey data.The 2004 Sutter County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits. The land use boundaries and attributes were digitized and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s Northern District (ND). Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and ND, under the supervision of Tito Cervantes, Senior Land and Water Use Scientist. This data was developed to aid DWR’s ongoing efforts to monitor land use for the main purpose of determining current and projected water uses. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standards version 2.1, dated March 9, 2016. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov. This data represents a land use survey of Butte County conducted by DWR, Northern District Office staff, under the leadership of Tito Cervantes, Senior Land and Water Use Supervisor. The field work for this survey was conducted during the summer of 2004. ND staff physically visited each delineated field, noting the crops grown at each location. Field survey boundary date was developed using: 1. The aerial photography used for this survey was taken in June of 2004. 9”x9” color photographs were generated from an altitude of about 6,000 feet above ground to produce a 1:24,000 scale photo. 2. The 9”x9” photos were taken to the field and virtually all the areas were visited to positively identify the land use. Site visits occurred July through September 2004. Land use codes were hand written on the photos. 3. Using AUTOCAD, the land use boundaries were digitized from USGS Digital Orthophoto Quarter Quadrangles (DOQQs) and attributes were entered from the field photos (using a standardized digitizing process). 4. After quality control/assurance procedures were completed on each file (DWG), the data was finalized. 5. The linework and attributes from each DWG quad file were brought into ARCINFO and both quad and survey wide coverages were created, and underwent quality checks. The survey wide coverage was then converted to a shapefile using ARCVIEW. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation. Some urban areas may have been missed, especially in forested areas. Before final processing, standard quality control procedures were performed jointly by staff at DWR's Northern District, and at DPLA headquarters under the leadership of Jean Woods, Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the 9' x 9' color photos, is approximately 23 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

The Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held …Show full descriptionThe Auto-generated 1:25000 Topographic Map Series is a series of hardcopy topographic maps covering eastern NSW that have been created using computerised scripting and fundamental spatial data held by Land and Property Information (LPI) . These maps are created at a scale of 1:25000, where 1 cm on the map represents 250 m. The data is extracted from Land and Property Information (LPI)’s Digital Topographic Database (DTDB). The maps represent the State’s topographic features, including natural, physical and cultural aspects. All maps are accompanied by either an orthophoto captured through LPI’s aerial photography program or a satellite image sourced from SPOT 5 sensors. For more information on the DTDB and definitions of each feature class, feature instance and their attributes please refer to the LPI DTDB Data Dictionary and DTDB metadata. For more information on the accompanying orthophoto, please refer to its individual metadata record.

This layer was created as an update the existing San Jose Parks Layer (PRK.PARKS). The existing layer has been maintained by the City of San Jose Department of Public Works and had not been updated in some time. This layer is a draft as of (05.02.2014) and has not been fully reviewed to assure complete accuracy of boundaries. Nevertheless it is an improvement over the existing layer and has had park boundaries adjusted to reflect PRNS management authority to the curb and gutter. This layer is also primarily based upon satellite imagery and visible property lines with the Santa Clara County parcel layer used as a guide in certain circumstances where boundaries could not be identified. The PRK.PARKS layer on the other hand , appeared to be based upon the Santa Clara Parcel layer, which did not include sidewalk and curb areas of the parks. In addition many parcel maps features included sections of roadway or overlapped into neighboring properties when compared with the aerial. Park chains have yet to be reviewed and revised. It is our intent to adjust these features to show only secured or quasi-government lands in which development in unlikely to occur. In addition, park chain lands may be adjusted to reflect underpasses where trails and public access is permitted.

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