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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/P9WUCQD
Raster Dataset
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: 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 1: Hydroperiod: U.S. Geological Survey data release, https://doi.10.5066/P9WUCQD.
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. This dataset represents the percentage of time the landscape is flooded for the Lake Ontario Restoration Assessment (LORA) study area.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.
The hydroperiod dataset was derived from the Lake Ontario Digital Elevation Model (DEM) and Lake Ontario water level records collected at the NOAA station in Oswego, New York and represents the percentage of time the landscape is flooded. The hydroperiod data was used to identify areas which are more likely to be flooded as these areas are better suited to support a wetland habitat. 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
Lake Ontario
Great Lakes
New York
Common geographic areas
water level measurements
lake
lakeshore
wetland
wetland restoration
hydrology
resource management
water quality
stream
river
Marine Realms Information Bank (MRIB) keywords
natural resource management
hydrology
USGS-EMA-LOW-MR Coastal Wetlands
water quality
remediation
wetland ecosystems
USGS Thesaurus
water level measurements
lake
lakeshore
wetland
wetland restoration
hydrology
resource management
water quality
stream
river
natural resource management
hydrology
USGS-EMA-LOW-MR Coastal Wetlands
water quality
remediation
wetland ecosystems
Lake Ontario
Great Lakes
New York
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 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 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
1991-05-01
2019-12-31
1
-79.171235
-76.011503
44.151429
43.087839
The data values were inspected and found to be within the expected range.
This dataset represents a hydroperiod and is complete for the LORA study area.
The Lake Ontario water level data are 6-minute measurements recorded continuously. To create a table to define the hydroperiod, the maximum daily water levels are extracted and exported into a new table and arranged in increasing order. The water level values are converted from the International Great Lakes Datum to the North American Vertical Datum of 1988. Then a new column is added to the table and the percentage index is calculated for the water levels by using the PERCENTRANK function. This function assigns a value of 100% to the lowest lake level measurement, 0% percent to the highest, and a proportional percentage to each of the lake levels in between. In effect, this determines the percentage of days that the lake is at each level. This table is then imported into ArcGIS.
2020-02-14
The digital elevation model (DEM) is then reclassified by the Lake Level table. A new raster is created where the cell values are replaced with the percentage values from the water level table. Any values above or below the water level range are given a NULL value.
2020-02-14
This table contains the lake water level measurements and the percentage of time at which the lake is at the level.
Observed Water Levels at 9052030, Oswego NY
Lake Ontario Water Levels
2019-07-12
National Oceanic and Atmospheric Administration (NOAA)
tabular digital data
Data accessed: 7/12/2019
Datum: International Great Lakes Datum
https://tidesandcurrents.noaa.gov/waterlevels.html?id=9052030
ground condition
1992-05-01
2019-12-31
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
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
166014.001000 4778746.000000
166014.001000 4889206.000000
417764.001000 4889206.000000
417764.001000 4778746.000000
291889.001000 4833976.000000
LORA_P1_Hydroperiod.tif
The raster geospatial data are formatted as a GeoTiff.
Producer Defined
Table
101
OID
Internal object identifier.
Producer Defined
Sequential unique whole numbers that are automatically generated.
Value
The raster cell values represent the percentage of days per year that the lake water level inundates the land.
Producer Defined
0
100
Count
Number of raster cells with this value.
Producer Defined
95.0
8951312.0
dataset
EPSG
6.13(3.0.1)
Band_1
100.000000
0.000000
8