20200814 11144200 1.0 INSPIRE Metadata Directive FALSE LORA_Deg_Flowlines 2.290 169595.410178 417760.989245 4779255.014239 4888193.714207 1 002 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_18N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.6.0'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_18N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-75.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26918]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-1023.7418234999999</MOrigin><MScale>4194304001953.124</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26918</WKID><LatestWKID>26918</LatestWKID></ProjectedCoordinateSystem> 20210430 10102600 20210430 10102600 Chris A Sanocki U.S. Geological Survey, MIDCONTINENT REGION Geographer 763-783-3151 2280 Woodale Drive Mounds View MN 55112 US sanocki@usgs.gov 20191017 ArcGIS Metadata 1.0 GS ScienceBase U.S. Geological Survey 1-888-275-8747 Denver Federal Center, Building 810, Mail Stop 302 Denver CO 80225 US sciencebase@usgs.gov None Digital Data https://doi.10.5066/P97R96IS https://doi.10.5066/P97R96IS 2.290 Shapefile Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines 2021 Dooley, Kathy M. Hopkins, Anders L. Dunn, Nicole A. Sanocki, Chris A. U.S. Geological Survey Reston, VA vector digital data: ESRI shapefile Dooley, K.M., Hopkins, A.L., Dunn, N.A., Sanocki, C.A., 2021, Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines: U.S. Geological Survey data release, https://doi.10.5066/P97R96IS. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas. This degree flowline dataset is coded to represent the number of times a flowline (stream/river) passes under a road or railroad (i.e. through a culvert) for all streams in the Lake Ontario Restoration Assessment study area. This dataset was created with methodology outlined at https://glcwra.wim.usgs.gov/. Chris A Sanocki U.S. Geological Survey, MIDCONTINENT REGION Geographer 763-783-3151 2280 Woodale Drive Mounds View MN 55112 US sanocki@usgs.gov Great Lakes Lake Ontario New York Common geographic areas environment inlandWaters ISO 19115 Topic Category lake lakeshore wetland wetland restoration stream river resource management water quality hydrology Marine Realms Information Bank (MRIB) keywords river reaches hydrology natural resource management wetland ecosystems USGS-EMA-LOW-MR Coastal Wetlands remediation USGS Thesaurus environment inlandWaters lake lakeshore wetland wetland restoration stream river resource management water quality hydrology river reaches hydrology natural resource management wetland ecosystems USGS-EMA-LOW-MR Coastal Wetlands remediation Great Lakes Lake Ontario New York None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. None. Please see 'Distribution Info' for details. Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) 2021 U.S. Geological Survey U.S. Geological Survey Reston, VA GIS withheld Crossref1: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Digital Elevation Model 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref2: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 0: Mask 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref3: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 1: Hydroperiod 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref4: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 2: Wetland Soils 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref5: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 3: Flowlines 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref6: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 4: Conservation and Recreation Lands 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref7: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 5: Impervious Surfaces 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref8: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S. Parameter 6: Land Use 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref9: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Index Composite 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA raster digital data https://doi.10.5066/P9WUCQDU Crossref10: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Study Area 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA vector digital data https://doi.10.5066/P9WUCQDU Crossref11: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes 2021 Dunn, Nicole A. Hopkins, Anders L. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA vector digital data https://doi.10.5066/P9X63D37 Crossref12: Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Culverts 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA vector digital data https://doi.10.5066/P9WUCQDU true -79.1260 -76.0116 44.1423 43.0940 0.000000 0.000000 ground condition 2012 0.000000 0.000000 1 -79.125988 -76.011616 44.142316 43.093980 None. The data are as complete as the input National Hydrography Dataset (NHD) and road datasets. Four input spatial files are needed to create degree flowlines (see 'Source inputs' below). These input datasets will be referred to in these steps according to the following names: National Hydrography Dataset New York State Flowlines (NHD flowlines layer), National Hydrography Dataset New York State Flowlines Water Bodies (NHD water bodies layer), New York State streets (streets layer), New York State railroad lines (railroad layer), and Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario: Study Area (study area). 2020 Buffer the study area by 1.1km. This ensures that any flowlines that leave and re-enter the study area will receive the correct rank attribute. 2020 Use the buffered study area to clip the NHD flowlines layer. 2020 Delete any line features from the clipped NHD flowlines layer that are not directly connected to the Lake Ontario polygon. 2020 In the NHD water bodies layer, extract the polygon that represents Lake Ontario and clip it to the study area extent. 2020 Delete any line features from the clipped NHD flowlines layer that are not directly connected to the Lake Ontario polygon. 2020 Create a point layer with point features located at the intersect of road/railroad line segments and stream flowline segments. These point features represent culverts. 2020 Overlay the culverts with the modified NHD flowlines layer created two steps prior. Cut flowline features where the culverts intersect the flowlines. 2020 Add attribute rank to the resulting NHD flowlines layer: flowline features directly connected to Lake Ontario receive an attribute rank of zero. Features separated from Lake Ontario by one culvert (those directly connected to 'zero degree' features) receive an attribute rank of one, etc. Clip this shapefile to the study area extent. 2020 Identified the stream/rivers 24000 NHD 20190819 for New York State Territory, Shapefile Version 2.2.1 NHD 2019-08-19 2.2.1 National Hydrography Dataset vector digital data Data accessed: 09/26/2019 https://www.sciencebase.gov/catalog/item/5a96cdc5e4b06990606c4d74 ground condition 2012 Identified the street line segments New York State Streets Street Segments 2007-01 New York State Office of Cyber Security & Critical Infrastructure Coordination (CSCIC) vector digital data Data accessed: 07/22/2019 https://catalog.data.gov/harvest/object/3a5579db-a021-4802-9b9d-7fb454519916/html/original ground condition 2006 Identified the railroad segments New York State Railroad Lines Railroads 2013-05 New York State Department of Transportation vector digital data Date accessed: 07/22/2019 http://gis.ny.gov/gisdata/metadata/dot.Railroad.shp.xml ground condition 2013-05 Identified the assessment study area Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Study Area Study Area 2021 Hopkins, Anders L. Dunn, Nicole A. Dooley, Kathy M. Sanocki, Chris A. U.S. Geological Survey Reston, VA vector digital data https://doi.10.5066/P9WUCQDU ground condition 2019 1100 LORA_Deg_Flowlines.shp Attribute Table Table containing attribute information associated with the data set. Producer Defined Feature Class 1100 FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI This attribute is a description of the geometry of each feature: a polyline. Rank Number of culverts separating the NHD flowline segment from Lake Ontario. Producer Defined 0 12 dataset EPSG 6.13(3.0.1) Simple FALSE 1100 TRUE TRUE