20250216 12191400 1.0 TRUE <div style='text-align:Left;'><div><div>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.Please note that since this data is an update to data originally created using 2010 aerial imagery, many of the features may not appear to be positionally accurate when used with newer imagery.Heights provided for 'Building' class impervious surface features are estimates of 90th and 50th percentile statistical distribution and should be considered approximate.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.</div></div></div> DVRPC Pennsylvania Montgomery County Impervious Surface Structures Building Footprints Building Heights Buildings Roads Driveways Parking Lots Sidewalks Provide digitized impervious surface features using digital orthoimagery acquired in 2015 by the Delaware Valley Regional Regional Planning Commission (DVRPC) and its partners. Delaware Valley Regional Planning Commission (DVRPC) <div style='text-align:Left;'><div><div>https://catalog.dvrpc.org/dvrpc_data_license.html</div></div></div> 2015 Impervious Surface - Montgomery County, PA iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB 2AAAAdgB+lymcgAAC+BJREFUeJzt3WtTG0cWgOEzN40uGGQMLmeTb7lU/v/v8a7XziYQypcANkhz 3Tpn1MqgCLL7ATRHfp8UBZbFpWL7rZ5WT3fatm0rAOBAuusfAAD+VwQLgBsEC4AbBAuAGwQLgBsE C4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQL gBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuA GwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4Ab BAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsE C4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQLgBsEC4AbBAuAGwQL gBsEC4AbBAuAGwQLgBsEC4AbBAuAGwTrHm3b2vsoip7yzwPAAwjWPbEKb0mSPPT/D8ATIlj3CMEC MBxffbA0Stsu+wgWMDxffbAewggLGJavPljbRlf6WJp+9f9rgMHhXyUANwgWADcIFgA3CBYANwgW ADcIFgA3CBYANwgWADcIFgA3CBYANwgWADcIFgA3CBYANwgWADcIFgA3CNbAcPgFcD+CNbBdTcOG goQL+CuCtWMaKI1T0zT2cQgWx4sBf0WwBqCuaynL0iKVZRlHiwH3IFgDCVZRFOuR1mg0WkeLkRbw J4I1ADqqCrHSwy80VoQK+CuCNQBxHMt4PN71jwEMHsHasaqqto6odLSlo65waQiAYO3cfecf6qgL wF2MsAC4QbAAuEGwALhBsAC4QbAAuEGwALhBsAC4QbAAuEGwALhBsAC4QbAAuEGwALhBsAC4QbAA uEGwALhBsPAkdDPC+zYp1L2/+seb9Y84Y6to9BEs7CxaD21SSKywDcHCk/h/DoYlVrgPwcKT2IyQ Hm2mb7pnfX/fei4B8RCChUe1eaJ1eEzPYdTDY3VPe33TsxiBv0Ow8OTCxHqYdA9vjK7wdwgWHtW2 iXV9TA+P1UDp+/6rhMBDCBaexOZSBQ2VXgr2QxVGXfoYx5xhG4KFJ7FtBLX5mP6ag2PxEIIFwA2C BcANggXADYIFwA2CBcANggXADYIFwA2ChZ3ShaKbi0T7t+no/Ya6Nqv/nG07P4Tbezafxwr6/UKw sPNgqW0b+IVbeDZtRqj/OdhvBAs7tS0+m4/rY1VVrUdQOuLS398cQTGa2n8ECzu1eeNzuKTrP6ax Wi6XFqhw07Q+LwQrPHdb/IjYfiFYGPQIK9wQ3b90DJF7aHTFZeJ+IljYqbA7Q/i4/+sQJr0E1A3+ 9OPNHR5019KAbWr2H8HCTm2bbN8UtlHednl3c3OzHnX1t6xhX/j9RLCwU/35J33b3A9r2zyUjqpC 3BaLhT03hCpMyve/NvYHwcJgbNsPa1t0+s85PT198OthvxAsAG4QLABuECwAbhAsAG4QLABuECwA bhAsAG4QLABuECwAbhAsAG4QLABuECwAbhAsAG4QLABuECwAbhAsPAnddC+Je3td6QZ8VS2SpdL2 tkaON/bDqlbnEka6od9qf3cVnteutrxqpbXvYXtqrb5P0zYikX5eI7G+F5FiubT3eZ7rJ4mwZZYr BAtPwjbda3ux0s310u6vn8Yo6R+A2jTrXUWz0cgeq6vKdhNdh6pppCgKyfJRt5e7/hff3Ua5rRtJ 0ljqtpW6rSWNky5UK/o1k4x/Ap7wp4VHtbnFsYYm0mBZoCIpi6I72bk3strc210/Z1O02hY51qeu nq7RCh+3VSXVcinNqOme1wtiGM0RK38IFh7VfYedNhqUopRFsVxvjaxhCXGxg1L1qPrFQrI8l2Q1 GrMINY2domOP1a1I6FlVaY26D8vSnjsdjbrLwXYVSx2lrc405NxCfwgWHtWdfdXDpWAUSXF7K9eX Vxaq9eVflslkMrEYKQ1Td0nYjZzaspRi0R2oGrUi2Xjcjaj069a1NGVpn2eXjhLZJWCsQZNKrq+v pZFWjo6P1z9XWVeSJfwT8IQ/LTwJuwxr7wZM56A2zyIMsdJLxFhHUBq3mxs7+Vmfo0FL9Dk6AV+W Eq8n8lubgLevk6V2uRenibz791t59eqVpFEsV18+SyMfJUpiezt8dsifvjMEC48qXHbpqKep6vWL cnrppxPgy5tbyUf5+kxBqRspbhf2a7vk0wnzopSmrFaXgVk34tIw1U03F6Yfx5FIsvpYB2RNI1Xb yHKxkFTPNZTEwri8vZVlXVnc9OtN8jF/AxwhWHhU/Ql0O3a+rm30lGaZTKdTmY0nNmoSHTUVhVxd Xcnnz58tchqt5ycnMjk4kEn4OjoiKwopy9LeZvNDGy1p2HTWS79HVVf2ezoq+/H7H0SmE7m8uLDo ffPNd9LEkfx69pu8/eUX+fmHH/kb4AjBwqPqnyF451W5JJbp/FBuiqW0egy9PjYeSXab2WR8HEWS x6lI0toriVk+tjmsqGklHo+kuvksZ7/9Jt8/+0nqsrB5MFuykKXy5fLSToTWIF5+uZSjLJJRnkpW xLK8vrafaVK3Nr91eXkph4eH60Nc9etoKDFMBAs7lffj0LYS6/xTktilnEZncjSTi1/PLD7ZOLd5 Lx09VVUlr777Vi4uLroATSaSj8c2+tIJdn2OjdxE5PzszL6WXgLq5+nHGqrb21spV9/v4OBg/erk ncWuGwtZsVsECzsVVqDbXFdYga7zWEUhRVnKm9f/7BaIpmk3SR+JHM6PpGxqqVYr3/US8vz83OKi o6WxvnooIh8/fpSRxPLhwwd77OT4hUXp89W1jeJ0Ti1M+veFFwE4OXp4CBZ2TkNlM1SrV/jy2VSm ejtNmsj1+/e2OFTjUtSVpJNcRpOx1IuFfLr8Q+azmY2cNEQ6clInr17ZaO0/b99KXXajpGfPntnz dGSlo6+TkxOb5E+OntnoKtARmC2L2BhtYRgIFnYqJMHiEObn00Qms6mMxrkcz2byrzdvbAJdQ7VY LuXNmzcWt+OTF3L58dLmnF6+fGmRWSwWcruap7KQpXpbTmNrsM4vfrdJfR2FnX77D51g615Z7MUq LGLFMBEsDIeuVFgtItVlCnGSyfvz3yXNRxYnW5N1+YetqdLHpvlYsiORd+/e2WWhrrfS6Jydndn8 lYasaErJZhNrYV21Mn95IqenpyJZYrfvRMnozlqwfqz0a9lSCwwGfxrYrd6OCetbZeKou3VGRD78 8cnmnybTqc1bzedzGyFp2DQoRy9eyPT9e7sc1NGThkcn6PU5+vGX66XMj+YWr7DwNNBXKKdptl56 0b/fkNt2holgYedsfVbTdPNGtvNCFzFd+Pn9zz/J69ev5dfzM5t3OrLV6ZG0ZWUh01XwGiF900l5 jZZeHurkvU665wdTOTg6su9T1qXUq61odK3WeDazG6bDqCqMtPTn0ce4NBwegoXdsoXp2+eNMn0F MZ/K8fyFjajSdCSi9/5pUPKxFLr6PRnZKvZPnz5JG0dycHgkVdPKx6trOZg/t7mwIEn+3FpGV79v 6o+wMEwEC8O2WsZgE+JJLEXZbUeT5CMZ5SPbrUFDU0srSRTbyGo2m8l4OpVx7/IP+4FgYfDCvJNG Sxd72n2GYcFpXdsrfXp5mE/G8vz5c4uV7a/FqoS9Q7AwaLYrqMUnkkT3yFosbPsrXUulSxj0slED Nj9+3q21CqMqYrWXCBYGLcRKhWUHGii7DNT7/kbdmi17LIy6It3Tr5vI1z2xsD8IFoZNt41Z0UWj RVXaCvg8S20/9/F4stpuWdYHTzR6T6LtE0+s9g3BwuCtT8NZLTUI66bsvsONWOnvxUks3WYzIiRr vxAsDNr6WK/V/X268rx/v5+ejBMWm+qN1OuDeTR0zcbRYnCPYGHQNtdGhY391r/u3Qtov16910wR q/1DsAC4QbAAuEGwALhBsAC4QbAAuEGwALhBsACIF/8FqRA7R7APhpcAAAAASUVORK5CYII=