Municipal boundary layer for Bucks County, Pennsylvania.

This dataset contains impervious landbase features updated using digital orthoimagery acquired in 2015 by the Delaware Valley Regional Regional Planning Commission (DVRPC) and its partners. This is an update of existing features originally captured in 2013 using 2010 orthoimagery. Additionally, estimated building heights were derived from high resolution normalized digital surface elevation data models generated from NIR LiDAR data using the highest hit method. Digital surface elevation models were derived from LiDAR data collected by Quantum Spatial and other vendors and compiled for delivery to USGS and its partners. The horizontal datum for this dataset is North American Datum, 1983, Geoid GRS 1980, and the data is projected in Lambert Conformal Conic StatePlane Pennsylvania South (FIPS 3702). Units are US Foot. The minimum size for building features is 200 square feet.Process Steps for Calculating Building Height Statistics:Normalized digital surface models (nDSM) and slope rasters were generated from 0.5-meter LiDAR data.Geodesic area was calculated (in square feet) for all features classified as ‘Building’.A negative 1 meter buffer was applied to all building features with an area greater than 200 square meters - applied in an effort to ensure nDSM input values were those corresponding to the building roof and not the adjacent ground.Zonal statistics (Spatial Analyst extension) were calculated on the buffered features for each nDSM raster (first multiplying each raster by 10 to maintain precision and then converting from floating point to integer raster) and slope raster (generated from each integerized nDSM raster). Zonal percentile statistics were also calculated on buffered features for each raster to obtain the 90th percentile building heights (HEIGHT_ESTIMATE field).All output statistics fields were joined to the original input feature class (with unit conversions applied, where necessary).A complete dataset, which includes the following fields that are populated with various statistical outputs generated during the building height estimation process, is available upon request:HEIGHT_PCT90 – 90th percentile value of all cells in the nDSM raster located within the building footprint.HEIGHT_PCT50 – median value of all cells in the nDSM raster located within the building footprint.HEIGHT_COUNT – total number of cells with tabulated values in the nDSM raster located within the building footprint.SLOPE_MEAN – average of all cells in the slope raster located within the building footprint.SLOPE_STD – standard deviation of all cells in the slope raster located within the building footprint.SLOPE_COUNT - total number of cells with tabulated values in the slope raster located within the building footprint.

Municipal boundaries for Pennsylvania, New Jersey, Maryland, Delaware, and the District of Columbia with ortho-rectified municipal boundaries for the DVRPC Region. Municipal Boundaries have been edited by DVRPC to create a more accurate, seemless regional dataset for the DVRPC region and its surrounding area. This dataset was compiled from multiple sources. Original data sources (in order of drawing rank): DVRPC - for Mercer, Burlington, Camden, Gloucester counties in NJ (an adaptation of NJOIT's Mun Bounds) and Bucks, Montgomery, Philadelphia, Chester, and Delaware counties in PA. In most cases, boundaries have been adjusted to align with parcel data. NJOIT - remaining NJ counties (2008) PennDOT - remaining PA counties (2009) DE State Office of Mgmt & Budget - Delaware municipalities (2002) MD State Hwy Administration - Maryland municipalities (2003) Washington DC - ESRI NOTE: NJ's coast has been clipped or unioned to ESRI's data CD detailed state boundaryDue to a consolidation, Princeton Twp and Princeton Boro in Mercer County, NJ in 2013, the new municipality (named "Princeton"), uses Princeton Boro's unique ID 3402160900. Princeton Township's unique ID (3402160915)no longer exists.Due to the name change from Washington Twp to Robbinsville Twp in Mercer County NJ in 2008, the unique ID (GEOID) for this municipality has changed from 3402177210 to 3402163850 . However, if you download 2000 census data from the Bureau's website, the unique ID (GEOID) for Robbinsville Township will still be 3402177210 in the census data…you will have to manually change its GEOID to 3402163850 in order to get the 2000 data to join to the MCD file correctly.Due to name change from Birmingham Twp to Chadds Ford Twp in Delaware County, PA in 1997, the unique ID (GEOID) for this municipality has changed from 4204506552 to 4204512442.

Protected Open Space for the DVRPC Region as of 2020. DVRPC maintains an inventory of protected public and private open space in the Delaware Valley. The inventory tracks all publicly-owned open space, preserved farmland, and non profit protected open space. State, county and municipal programs preserve farms by purchasing development rights with public funds. Non-profits (land trusts and conservancies) protect privately owned open space lands by purchasing easements or by acquiring land outright with a combination of public and private funds. This file is a compilation from the following sources and is not necessarily parcel-based: Bucks County Planning Commission; Burlington County Department of Economic Development and Regional Planning; Camden County Division of Open Space and Farmland Preservation; Camden County Improvement Authority; Chester County Planning Commission; Delaware County Planning Department; Gloucester County Planning Division; Mercer County Planning Division; Montgomery County Planning Commission; Natural Lands Trust; New Jersey Conservation Foundation; New Jersey Department of Environmental Protection; New Jersey State Agriculture Development Committee; Pennsylvania Department of Conservation and Natural Resources; Philadelphia City Planning Commission; Philadelphia Department of Parks and Recreation In the cases where land had multiple owners, the following heirarchy was applied: 1. Preserved Farmland 2. Federal 3. State 4. County 5. Municipal 6. Nonprofit

Prior to the year 2000, DVRPC’s aerial imagery consisted of mylar aerial photo enlargements or “atlas sheets”. These atlas sheets were produced from 9x9" aerial photos. The imagery dates from the years 1959, 1965, 1970, 1975, 1980, 1985, 1990, & 1995. The 1959s and 1965s primarily cover the urbanized portion of the DVRPC region (the DVRPC region is made up of nine counties: Bucks, Chester, Delaware, Montgomery, and Philadelphia in Pennsylvania; Burlington, Camden, Gloucester, and Mercer in New Jersey). Subsequent years provide full coverage of the region, minus the occasional missing scan. In order to increase the efficiency of using the historical aerial imagery, the sheets were scanned into TIFF (Tagged Image File Format) files. Each TIFF file ranges between 35- 40MB in size. Unlike DVRPC’s more recent aerial imagery (2000 and later), the historical aerials are not “orthorectified” or “orthocorrected”. In other words, they are simply aerial images with no spatial reference or uniform scale. Through the process of georeferencing, Montgomery County GIS assigned a spatial reference which will enabled them to be used more readily in a GIS environment. That said, georeferencing is not orthorectifying or orthocorrecting. What it does allow is for the scan to be displayed relative to other spatially referenced GIS layers. A georeferenced scan does not have the properties of an actual orthoimage. Whereas an orthoimage can be used for making accurate measurements, a georeferenced image cannot, as it does not have the spatial accuracy and uniform scale of an orthoimage.

An elevation or topographic contour is a line that connects a series of points of equal elevation and is used to illustrate topography, or relief, on a map. It shows the height of ground above Mean Sea Level (M.S.L.). Numerous contour lines that are close together indicate hilly or mountainous terrain; when far apart, they represent a gentler slope. This layer consists of contours at a five foot interval for Montgomery County. Data was derived from DVRPC and was generated from an aerial topographic survey in 2005.The Delaware Valley Regional Planning Commission's (DVRPC) 9-county region is made up of the following: Bucks, Chester, Delaware, Montgomery, and Philadelphia counties in Pennsylvania; and Burlington, Camden, Gloucester, and Mercer counties in New Jersey.The regional dataset can be be accessed via rest service or downloaded from PASDA

This index represents the coverage of the scans of DVRPC's non-orthorectified, mylar, aerial photo enlargements.. These polygons were developed to define the overall extent of the imagery, and to assist users in locating the particular images of interest to them.This layer includes a "STATUS" attribute field that indicates what scans are missing, however this is not a complete inventory of missing scans.Prior to the year 2000, DVRPC’s aerial imagery consisted of mylar aerial photo enlargements or “atlas sheets”. These atlas sheets were produced from 9x9" aerial photos. The imagery dates from the years 1959, 1965, 1970, 1975, 1980, 1985, 1990, & 1995. The 1959s and 1965s primarily cover the urbanized portion of the DVRPC region (the DVRPC region is made up of nine counties: Bucks, Chester, Delaware, Montgomery, and Philadelphia in Pennsylvania; Burlington, Camden, Gloucester, and Mercer in New Jersey). Subsequent years provide full coverage of the region, minus the occasional missing scan.In order to increase the efficiency of using the historical aerial imagery, the sheets were scanned into TIFF (Tagged Image File Format) files. Each TIFF file ranges between 35-40MB in size. Unlike DVRPC’s more recent aerial imagery (2000 and later), the historical aerials are not “orthorectified” or “orthocorrected”. In other words, they are simply aerial images with no spatial reference or uniform scale. Through the process of georeferencing, the scanned images can be assigned a spatial reference which will enable them to be used more readily in a GIS environment. That said, georeferencing is not orthorectifying or orthocorrecting. What it does allow is for the scan to be displayed relative to other spatially referenced GIS layers. A georeferenced scan does not have the properties of an actual orthoimage. Whereas an orthoimage can be used for making accurate measurements, a georeferenced image cannot, as it does not have the spatial accuracy and uniform scale of an orthoimage.

Mosaic - An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. This project consists of the creation of 3-band, 24 bit color digital orthophoto tiles for the 5-county, Pennsylvania portion DVRPC?s region utilizing a Leica ADS40 digital imaging system. The tiles were delivered in both GeoTIFF and MrSID MG3 formats. A GeoTIFF is a TIFF file which has geographic (or cartographic) data embedded as tags within the TIFF file. The geographic data can then be used to position the image in the correct location and geometry within a geographic information system (GIS) display. MrSID (Multi-resolution Seamless Image Database) is a proprietary, wavelet-based, image compression file format (*.sid) developed and patented by LizardTech, Inc. A 20:1 compression ratio was used for the MrSIDs. The complete data set contains 1,540 full ortho tiles in Pennsylvania State Plane South coordinate system, NAD83. The individual tiles measure 5,055' x 8,745' at a 1.0' pixel size. There is no image overlap between adjacent tiles. Counties include: Bucks, Chester, Delaware, Montgomery, and Philadelphia