Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin Stockenberg20161227This geodatabase was compiled from the results of a run of a 1 meter DEM thorough the USGS Shoreline Management Tool. The tool generates inundation extents (Shoreline) for a series of stage heights (depths) from a user input surace height parameter. Wapato Lake shorelines were created at .10 foot increments between 160 and 184 feet in elevation (NAVD 1988).<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>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. </SPAN></SPAN></P><P /><P><SPAN><SPAN>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.</SPAN></SPAN></P><P /><P><SPAN><SPAN>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. </SPAN></SPAN></P><P><SPAN><SPAN>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 </SPAN></SPAN><A href="http://pubs.usgs.gov/of/2012/1247"><SPAN STYLE="font-style:italic;"><SPAN>http:/pubs.usgs.gov/of/2012/1247</SPAN></SPAN></A><SPAN><SPAN>.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV>Wapato Lake Inundation Extents - VectorErin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data ManagerWapato Lake Shorelinevector digital data2015-05-15T00:00:002015-05-15T00:00:00120150515Wapato Lake Depth GridsErin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin Stockenberg99999Wapato Lake Inundation Extents2016-05-01T00:00:002015-05-01T00:00:00PerimeterLake ExtentDEMWaterbodyShorelineU.S. Fish and Wildlife Service<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>1-123.138278216-123.11077164745.40459820745.440609223Lidar data from which the depth grids were generated was captured May 2012.2012-05-01T00:00:002012-05-01T00:00:00ArcGIS 10Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin Stockenberg<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>These processing steps document the process used to generate a series of grids demonstrating Wapato lake inundation extents (shorelines) at tenth of a foot increments between stage heights of 160-184 feet.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.2015-05-01T01:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergThe lakebed extent polygon was used as input for Parcel feature class, a neccesary parameter for the Shoreline Management Tool (SMT).2015-05-01T02:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergErin StockenbergReproject 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. 2015-05-01T03:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergUse 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.2015-05-01T04:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergResample 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.2015-05-01T05:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergClip the elevation grid of meter units and feet, resulting in two separate grids.2015-05-01T06:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergEdit 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. This script creates a slope and aspect grid, as well as can create a 'named' grid (applied the name for the SMT purposes). In addition to the script, the SMT tool generate a series of inundation extents, these are loaded into a geodatabase, feature dataset and named with the stage height (expl. p1016400 representes the inundation extent of parcel 1 at 164 ft stage height). Inundation extent grids are also created (shoreline_rasters_navd88)2015-05-01T07:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergCreate_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. 2015-05-01T08:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergDevelop time series text file. [Selected stream heights to correspond with the stream heights recorded by the USGS stream gauge. An inundation extent 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. Shoreline is also presented in a grid format2015-05-01T09:00:00Erin StockenbergU.S. Fish and Wildlife ServiceRegional Inventory and Monitoring Data Manager1211 SE Cardinal Court, Ste 100VancouverWA98689erin_stockenberg@fws.govUS3606042586Erin StockenbergErin StockenbergErin StockenbergVertical accuracy of the LiDAR data set was found to be within 3/10 of a foot. 2017-01-02T00:00:00Vertical ommissions were found but not deemed to be of significant impact to the purpose of this modeling. 2017-01-02T00:00:00