20250915
15234900
1.0
FALSE
LORA_P0_Mask.tif
166015.272700
417765.272700
4778745.898300
4889205.898300
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["NAD_1983_UTM_Zone_18N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-75.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",26918]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26918</WKID><LatestWKID>26918</LatestWKID></ProjectedCoordinateSystem>
32
FALSE
LZW
1
TIFF
TRUE
continuous
signed integer
2.1474836e+09
20210430
10135900
20210430
10135900
Chris A Sanocki
U.S. Geological Survey, MIDCONTINENT REGION
Geographer
763-783-3151
2280 Woodale Drive
Mounds View
MN
55112
US
sanocki@usgs.gov
20191024
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/P9WUCQDU
https://doi.10.5066/P9WUCQDU
Raster Dataset
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: GeoTiff
Hopkins, A.L., Dunn, N.A., Dooley, K.M., Sanocki, C.A., 2021, Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Parameter 0: Mask: U.S. Geological Survey data release, https://doi.10.5066/P9WUCQDU.
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 mask parameter was used to remove unsuitable areas within the Lake Ontario Restoration Assessment (LORA) study area from consideration 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 dataset represents open water, such as lakes, ponds, and rivers. These areas are removed from consideration in the GLCWRA composite index because open water areas are unlikely to be restored. 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
New York
Lake Ontario
Common geographic areas
lake
lakeshore
wetland
wetland restoration
stream
river
hydrology
resource management
water quality
Marine Realms Information Bank (MRIB) keywords
hydrology
natural resource management
USGS-EMA-LOW-MR Coastal Wetlands
water quality
remediation
wetland ecosystems
USGS Thesaurus
lake
lakeshore
wetland
wetland restoration
stream
river
hydrology
resource management
water quality
hydrology
natural resource management
USGS-EMA-LOW-MR Coastal Wetlands
water quality
remediation
wetland ecosystems
Great Lakes
New York
Lake Ontario
None. Users should be aware of source data limitations and understand data processing procedures.
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 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
Crossref3: 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
Crossref4: 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
Crossref5: 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
Crossref6: 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
Crossref7: 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
Crossref8: 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
Crossref9: 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
Crossref10: 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
Crossref11: 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
https://doi.10.5066/P97R96IS
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
-79.1712
-76.0115
44.1514
43.0878
ground condition
2020
1
-79.171219
-76.011487
44.151428
43.087839
The data values were inspected and found to be within the expected range.
This dataset provides coverage for the entire Lake Ontario Restoration Assessment study area.
Clip the National Wetland Inventory (NWI) dataset shapefile to the LORA study area. Select the attributes within the clipped NWI shapefile which include "H" in the "Attribute" column of the attribute table and attributes with "Lake", "Freshwater Pond" or "Freshwater Emergent Wetland" in the "WETLAND_TYPE" column. This will select all of the polygons that represent permanently flooded areas. Visually inspect of aerial images and select additional polygons from the NWI shapefile which overlay areas that are already well established wetlands. Export selected features to a new shapefile.
2019-08-01
Clip the National Hydrography Dataset (NHD) water bodies shapefile to the LORA study area. This represents the water bodies within the study area according to the National Hydrology Dataset.
2019-08-01
Select the NoData values from the DEM. This is done by reclassifying the LORA DEM. All raster cells with a value greater than "0" are reclassified to 1, while the cells with a NoData value are kept the same. Then this raster is converted to a vector format so that each NoData area is represented as a polygon. The NoData polygon layer is clipped to the LORA study area.
2019-08-01
Merge the vector NWI, NHD and NoData layers into a single layer. Convert this merged layer into a raster layer. Reclassify this raster layer so that the NoData cells are 0 and all cells with a value are 1. Cell size is 10 meters.
2019-08-01
Used to identified permanently flooded areas, which are defined as water bodies (lakes, rivers, streams, other permanent surface water) in the NHD.
24000
NHD 20190819 for New York State Territory, Shapefile Version 2.2.1
NHD
2019-07-07
2.2.1
National Hydrography Dataset
vector digital data
Data accessed: 07/9/2019
https://www.sciencebase.gov/catalog/item/5a96cdc5e4b06990606c4d74
ground condition
2019
Used to identify coastal wetlands habitats
National Wetland Inventory Version 2, Surface Waters and Wetlands
NWI
2019
U.S. Fish and Wildlife Service
vector digital data
Data accessed: 07/16/2019
https://www.fws.gov/wetlands/
ground condition
1977
2019
Identified the Lake Ontario Restoration 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
Identified the Lake Ontario Shoreline
Great Lakes Hydrology Dataset: Great Lakes shoreline and islands
Shoreline
2019
Great Lakes Aquatic Habitat Framework
vector digital data
https://www.glahf.org/data/
ground condition
2019
Identified the elevation of the terrain
Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Digital Elevation Model
DEM
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
ground condition
2007-01-03
2017-04-17
3
11046
10.000000
25175
10.000000
1
1
0
166015.272700 4778745.898300
166015.272700 4889205.898300
417765.272700 4889205.898300
417765.272700 4778745.898300
291890.272700 4833975.898300
LORA_P0_Mask.tif
The raster geospatial data are formatted as a GeoTiff.
Producer Defined
Value
The raster cells values have a binary representation. Raster cells with a value of "0" represent an area which is deemed unsuitable for wetland habitat, while raster cells with a value of "1" represent areas which are suitable for wetland habitat.
Producer Defined
0.0
1.0
dataset
EPSG
6.13(3.0.1)
Band_1
1.000000
0.000000
32