Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>This road inventory is maintained by Engineering and Public Works Road Maintenance for use in daily operations by York County.</SPAN></P><P><SPAN>It is represented in this layer as well as in a hallway of paper records at Public Works. </SPAN></P><P><SPAN /></P><P><SPAN>In 2012 this layer was created to support the implemenation and use of Cityworks. The inventory record was joined with the centerline to produce this layer. Over time, this data has been improved, errors from the original conversion may remain.</SPAN></P><P><SPAN /></P></DIV>
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>York County Railroads. For illustration purposes only; Not for scales above 1;24000</SPAN></P></DIV></DIV></DIV>
Name: University of Vermont Modeled Restorable Wetlands
Display Field: Class_name
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>High-resolution dataset depicting restorable wetlands in Pennsylvania. It includes agricultural fields that have topographic, hydrological flow, and climate characteristics indicative of wetlands. Theoretically, these features could be restored as wetlands if different land uses were practiced at each site.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>The primary sources used to derive this restorable wetlands layer were 2006-2008 leaf-off LiDAR data, 2005-2008 leaf-off orthoimagery, 2013 high-resolution land-cover data, and moderate-resolution predictive wetlands maps incorporating topography, hydrological flow potential, and climate data. This dataset is considered current based on the 2013 land-cover map.</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>Restorable wetlands were mapped using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account land-cover boundaries imposed by the 2013 land-cover map. Using this technique, a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product was both accurate and cartographically coherent.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>This dataset was developed to support land-cover mapping and modeling initiatives in Pennsylvania.</SPAN></P><P STYLE="margin:0 0 11 0;"><SPAN>This vector version was derived from the original 1-meter raster layer.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 483897184d634ee7985fa3d85df1b3a3
Copyright Text: This dataset was developed by the University of Vermont Spatial Analysis Laboratory in collaboration with Patrick Raney of Ducks Unlimited. Funding was provided by the U.S. Environmental Protection Agency through a grant with the Pennsylvania Department of Environmental Protection and the Western Pennsylvania Conservancy. An earlier project focusing on the Chesapeake Bay Watershed portion of Pennsylvania was funded by the National Park Service and Environmental Protection Agency under a collaborative grant with the Chesapeake Bay Conservancy.
Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>CIC dataset derived from CBP LULC. This dataset was derived from the 2017/2018 Chesapeake Bay Program high resolution land cover dataset. All areas classified as low vegetation within 100 feet of USGS FACET stream lines was identified as a forest buffer opportunity. </SPAN></P></DIV>
Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>CIC dataset derived from CBP LULC. This dataset was derived from the 2017/2018 Chesapeake Bay Program high resolution land cover dataset. All areas classified as tree canopy within 100 feet of USGS FACET stream lines was identified as a forest buffer. </SPAN></P></DIV>
Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Groundwater Monitoring Point. Internal Monitoring Point - Used to monitor internal processes - not a discharge. Land Discharge - Land application of wastewater. Manure Management - Activities related to or supporting storage, collection, handling, transport, application, planning, record keeping, generation or other manure management activities. Outfall structure - Outfall structure to stream. Pesticide Treatment Area - These SFs are created to address treatment areas that in reality are often an entire water body, such as a pond. The lat/long coordinates are supposed to be entered at the mid-point or center of the treatment area. Pipeline or Conduit - Pipes or other smaller diameter conveyances that are used to transport or supply liquids or slurries from collection, storage or supply facilities or areas to other facilities or areas for storage, modification or use. These can be for longer-term, medium-term or short-term and would include design, capacity, maintenance, safety, inspection, accident and varying use and weather considerations. Production Service Unit - Catch all sub-facility that covers a variety of industries participating in a multitude of activities such as concentrated animal feeding, pharmaceuticals, paper, steel, utilities, etc. The majority of PSUs are classified as Industrial Waste or Stormwater-Industrial (Primary Facility kind). Pump Station - Sewage pump station. Septage Land Application - Indicates that the septage hauler treats residential septage for land application, meaning that it can be applied to land as a soil amendment/fertilizer. Storage Unit - Storage of wastewater. Treatment Plant - Sewage or industrial wastewater treatment plant.</SPAN></P></DIV>