Erin Stockenberg, U.S. Fish and Wildlife Service, Regional Inventory and Monitoring Data Manager
20150501
Wapato Lake Depth Grids
raster digital data
The U.S. Geological Survey (USGS) and U.S. Fish and Wildlife Service worked together to monitor streamflow and water levels in and around Wapato Lake NWR, apply the USGS Shoreline Management Tool (SMT), then construct and apply a new water-budget-based Water Management Scenario Tool (WMST). The SMT was used to determine the spatial availability of different habitats as a function of water level and other factors, based on topographic data. The Service collected high-resolution LiDAR data and used those data to create a Digital Elevation Model (DEM) of the Wapato Lake area. Using that DEM, the USGS Shoreline Management Tool (Snyder et al., 2013) was applied to Wapato Lake to assess the relations between surface-water stage and water depth, inundated area, water volume in the lake and surrounding area, and available habitat.The USGS Shoreline Management Tool was applied to Wapato Lake to assess the topography of the lakebed and quantify the types and amount of habitat produced under a range of lake levels. The USGS Shoreline Management Tool (SMT) is a geographic information system (GIS) software program that runs in ArcMap and is designed to quantify the results of water-management strategies for areas subject to periodic inundation such as wetlands and seasonal lakes (Snyder et al., 2013). Based on land-surface topographic data, the tool allows resource managers to calculate water quantity, water depth, area of inundation, and area of dry land on the basis of surface-water levels. Such information can be useful to balance competing management priorities and needs, including water supply, water quality, aquatic and terrestrial habitat for plants and animals, and human use of water and land areas. In addition to quantifying water depths and the areas and volumes of inundation, the SMT allows the user to define habitat criteria such as water depth, land-surface slope and aspect, or other factors, and then determines the amount and location of areas that meet those criteria. Documentation and the GIS program are available at http:/pubs.usgs.gov/of/2012/1247.
This geodatabase was compiled from the results of a run of a 1 meter DEM thorough the USGS Shoreline Management Tool. The tool generates an inverse grid of depths from a user input surace height parameter. Wapato Lake depths grids were created at .10 foot increments between 160 and 184 feet in elevation (NAVD 1988).
20120501
20120501
Lidar data from which the depth grids were generated was captured May 2012.
None planned
-123.138278216
-123.110771647
45.440609223
45.404598207
ISO 19115 Topic Categories
biota
environment
inlandWaters
None
Raster
Depth
Bathymetry
DEM
Waterbody
None
Inherent in any data set used to develop graphical representations, are limitations of accuracy as determined by, among others, the source, scale and resolution of the data. While the USFWS makes every effort to represent the data as completely and accurately as possible (given existing time and resource constraints), the USFWS gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. In addition, the USFWS shall not be held liable for improper or incorrect use of the data described and/or contained in. Graphical representations provided by the use of this data do not represent a legal description of any kind.
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
U.S. Fish and Wildlife Service
ArcGIS 10
Vertical accuracy of the LiDAR data set was found to be within 3/10 of a foot.
Vertical ommissions were found but not deemed to be of significant impact to the purpose of this modeling.
hardDisk
The raw data is described as a LiDAR Digital elevation model. Captured in May 2012.
Develop Wapato lakebed extent polygon. Using LiDAR dataset refine the line work started for the WRIA process, make sure line coincided with highest point on existing levee system around the lakebed. At the southern end where there is no closing levee system use the LiDAR data along with historic landcover information (Heritage 1851 dataset) to create southern extent. Close levee system and create polygon layer.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
The lakebed extent polygon was used as input for Parcel feature class, a neccesary parameter for the Shoreline Management Tool (SMT).Loaded the lakebed polygon extent into the ShorelineManagementTool_NAVD88.gdb, Parcels feature class. Calculate the Acres, Perimeter and the PARC_NUMBER in the attribute table.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Reproject original LiDAR dataset from State Plane coordinate system to UTM 10 using the ‘NAD_1983_To_Harn_ OR_WA’ transformation. Use bilinear Use bilinear resampling technique*.
*Bilinear resampling determines the new value of a cell based on a weighted distance average of the four neatest input cell centers it is useful for continuous data and will cause some smoothing of the data.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Use raster math to calculate a grid with elevation values in meters. Original units for the raster are in feet. Meters units are required for the Python scripts used with the SMT.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Resample from 1.5 foot cell size to 1 meter as required by the Shoreline Management Tool (either 1 or 5 meters are the allowable values). Use bilinear resampling technique. The native units of the Wapato Grid are survey feet. The SMT requires meters.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Clip the elevation grid of meter units and feet, resulting in two separate grids.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Edit the Python script Create_DEM_Slope_Aspect_Rasters_and_Shoreline_v2.py with the highest and lowest elevation values to be used to generate the slope, aspect, and shoreline vectors. The high and low values for generating the slope, aspect and shoreline vector files were taken from the high low values of the DEM. In the Python script the option to create a DEM was set to no. Alternatively the pre-clipped DEM was renamed (p1_1mdem88) and placed in the GIS_layers folder.
The high and low values for the Stage Lookup (Stage-Volume) table were taken from the USGS Wapato Pumphouse stream level heights for the time period of record and rounded down to a whole number for the lower and rounded up for the upper bounds. In this case the lowest value recorded at the pumphouse was roughly 3/10ths of a foot lower than the lowest elevation within the levee extent.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Develop time series text file. [Selected stream heights to correspond with the stream heights recorded by the USGS stream gauge. An inundation grid will be produced for every .10 foot between 160-184 feet.]
Download history of the stage height at the Wapato Pumphouse from the USGS OWC for comparison to the high/low of the DEM (see text file). The purpose of the stream height history is to ensure the low and high of the stream level; NAVD heights are included in the stage/volume table and other derived products for display purposes (i.e. web enabled visualizations of lakebed inundation per stream height). It was found that the Wapato gage produced a low of 161.90ft., and a high of 164.53ft. This compared to the low elevation in the lakebed of 162.18ft., and a high of 183ft. The low value for the stream level from the Wapato Pumphouse gage will be used as the tool parameter for the python script to ensure that the stream heights low value (161.90ft.). The 162-183 elevation range found in the clipped DEM will be included in the python script (range) to generate shoreline vectors, slope and aspect.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Create_Stagelookup_Data_Table_v2.py
*clipped DEM in foot units is important for this step.
Update the WAP_1meter_DEM_NAVD88.csv to reflect the Wapato parcel.
The text file that resulted from the Python script, Create_Stagelookup_Data_Table_v2mod.py
Requires some edits in order for the TimeSeries.xlsm to work properly. The column headings must be edited to match the inputs required by the Excel macro, and the column ordering must be changed.
Python results:
parc_number, refElev_feet, not_used, Volume_acft, not_used, 2D_Area_ac
Macro Requirements:
parcel, stage, vol_m, area_m, vol_acre*ft, area_acre
To use the SMT timeseries. Edit the tool_Parameters_Example.txt file to match the input parameters. For this you will use the range from the DEM with units in feet.
20150501
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Set the SMT output settings to Save Intermediate Rasters. Intermediate rasters include the depth data. Imtermediate rasters were loaded into a single geodatabase called, Full_depth.gdb. Each grid is named by the parcel, and depth in feeth of stage height. Example p1dep16000 is p1 (parcel 1); dep16000 (stage height of 160 ft.). In the depth grids, values that are negative indicate surface elevation in feet above the stage height. Values that are positive indicate depths below the stage height.
20150501
U.S. Fish and Wildlife Servicel
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
Raster
Grid Cell
20161227
U.S. Fish and Wildlife Service
Erin Stockenberg
Regional Inventory and Monitoring Data Manager
physical
1211 SE Cardinal Court, Ste 100
Vancouver
WA
98689
US
3606042586
erin_stockenberg@fws.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
There are no limitations on use of this metadata. Inherent in any data set used to develop graphical representations, are limitations of accuracy as determined by, among others, the source, scale and resolution of the data. While the USFWS makes every effort to represent the metadata as completely and accurately as possible (given existing time and resource constraints), the USFWS gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these metadata. In addition, the USFWS shall not be held liable for improper or incorrect use of the metadata data described and/or contained in. Graphical representations provided by the use of this data do not represent a legal description of any kind.