20190603 09381800 1.0 ISO 19139 Metadata Implementation Specification FALSE reach_PWLi5_Merge1 002 617755.000000 671943.000000 6100300.000000 6161264.000000 1 398.287 Projected GCS_NAD_1983_2011 Linear Unit: Meter (1.000000) NAD_1983_2011_UTM_Zone_8N <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/2.9.0'><WKT>PROJCS["NAD_1983_2011_UTM_Zone_8N",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",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",-135.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",6337]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>-21715.092564671875</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>102055</WKID><LatestWKID>6337</LatestWKID></ProjectedCoordinateSystem> 20231004 13570400 20231004 13570400 Esri ArcGIS 12.9.7.32739 reach_PWLi5_Merge1 1 -133.157435 -132.273116 55.583089 55.019778 -9999.000000 1124.825928 2m lidar. This dataset is intented to be used with NetMap landscape analysis software. To learn more, go to www.terrainworks.com This dataset was developed using NetMap by TerrainWorks (www.terrainworks.com). Copyright @2013. When using NetMap databases (digital landscapes) and or NetMap analysis tools, please cite as: TerrainWorks (NetMap) 20xx. www.terrainworks.com TerrainWorks (or Earth Systems Institute) assumes no responsibility and no liability for any information, misinformation, or use of information with regards to these data. There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that changes may have occurred since this data set was created and that some parts of this data may no longer represent actual conditions. Users should not use this data for critical applications without a full awareness of its limitations. Regardless of the types of predictions made by the TerrainWorks/NetMap software, and including any and all applications by anyone, no warranties, express or implied, are made and in fact are disclaimed. Applying shallow landslide, gully, surface erosion and debris flow models and predictions requires careful consideration of other factors including the applicability of any models to diverse landscapes (e.g., is model appropriate), other important factors such as climate, vegetation characteristics, soils, land-use activities, wildfire history, and landslide history (at any particular site and in the larger landscape). Model users should have expertise in geotechnical disciplines in order to appropriately interpret landslide and debris flow hazards. Using models to predict erosion is never a substitute for field work and analysis. Models only provide an approximation of on the ground conditions. It is recommended to use both modeling, to provide a coarse level screening of erosion potential, followed up by field verification of model parameters (such as slope) and actual erosion conditions. The boundaries between erosion potential map elements predicted by NetMap/TerrainWorks software (e.g., digital landscapes and analysis tools) are approximate. Actual boundaries between mapping elements in any specific location need to be determined in the field, on site. In addition, not all small-scale landslide-prone features will be mapped and other features may be encountered during field inspections. Moreover, the sediment delivery potential (to streams and to other identified locations) of predicted erosion features, as well as any other erosion-prone landforms, should be verified in the field, on site. The erosion predictions in the TerrainWorks/NetMap software are based on scientific information. However, any erosion prediction will contain inaccuracies and limitations because of 1) the relatively short and unique history of storms that triggered erosion and that are used to create the science (e.g., longer and different time periods and larger storms may yield different scientific results, models and understanding) and 2) the incomplete scientific understanding of all erosion mechanisms. For these reasons, all erosion predictions made by the TerrainWorks/NetMap software will not completely identify all of the potentially erodible areas. Regardless of the types of predictions made by the TerrainWorks/NetMap software, and including any and all applications by anyone, no warranties, express or implied, are made and in fact are disclaimed. This dataset features the NetMap processed streamlines for Prince of Wales Island, providing a comprehensive representation of the island's stream network. The streamlines are derived from advanced geospatial analyses, offering critical insights into the hydrological landscape of this ecologically rich region. Regionally derived intrinsic potential models have been developed and summarized, highlighting the potential habitat quality for anadromous fish species. These models assess the upstream effects of various geomorphic and hydrological attributes, providing valuable information for habitat restoration and conservation efforts. This layer is intended for use by resource managers, conservationists, and researchers involved in aquatic habitat assessments, restoration planning, and watershed management. It serves as a vital tool for identifying priority areas for conservation and understanding the ecological dynamics of Prince of Wales Island's stream systems. NetMapStream GradientSalmonSoutheast Alaska File Geodatabase Feature Class 398.287 dataset EPSG 8.2.2(10.2.1) 0 Simple FALSE 0 TRUE FALSE reach_PWLi5_Merge1 Feature Class 0 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. ID ID Double 8 0 0 Unique reach ID, assigned during reach delineation in Netrace CHAN_ID CHAN_ID Double 8 0 0 ID of the collection of individual channel reaches beginning at a tributary junction and continuing upstream to the maximum headwater extent (the definition of a "channel" in NetMap). At confluences, the "channel" follows the reach with the largest drainage area with the smaller tributary then initiating a new channel ID. LENGTH_M LENGTH_M Double 8 0 0 Reach length in meters. AREA_SQKM AREA_SQKM Double 8 0 0 Contributing area (square kilometers) to the downstream end of the reach. ELEV_M ELEV_M Double 8 0 0 Elevation (m) of downstream end of reach OUT_DIST OUT_DIST Double 8 0 0 Distance from downstream end of reach to the basin outlet (km) SRC_DIST SRC_DIST Double 8 0 0 Distance (km) from the downstream end of the reach to the upstream end of the upstream-most reach on the same channel. FROM_DIST FROM_DIST Double 8 0 0 Distance (km) from channel mouth to downstream end of reach MAX_GRAD_D MAX_GRAD_D Double 8 0 0 Maximum downstream gradient over user-specified window. STRM_ORDER STRM_ORDER Double 8 0 0 Strahler (1952) stream order AZIMTH_DEG AZIMTH_DEG Single 4 0 0 Average downstream flow direction for reach, in degrees SINUOSITY SINUOSITY Double 8 0 0 Length of the channel divided by the length of the valley measured over 30 channel widths. MNANPRC_M MNANPRC_M Double 8 0 0 Mean annual precipitation depth (meters) for the contributing area to the downstream end of the reach. Mean annual precipitation values are from raster data available from the PRISM project (http://www.prism.oregonstate.edu/) for the period 1981-2010. MEANANNCMS MEANANNCMS Double 8 0 0 Mean annual flow for reach (cubic meters per second) based on regional regression equations. WIDTH_M WIDTH_M Double 8 0 0 Bankfull width (m); from statistical regression. Regression terms and coefficients vary regionally. See NetMap's Network Variables tool for regression equation and source. Incise5 Incise5 Double 8 0 0 ElevDif ElevDif Double 8 0 0 ElevDev ElevDev Double 8 0 0 Plan Plan Double 8 0 0 FallHeight FallHeight Double 8 0 0 OBSTACLE OBSTACLE Double 8 0 0 GradBk5CW GradBk5CW Double 8 0 0 UPGRAD5CW UPGRAD5CW Double 8 0 0 DEPTH_M DEPTH_M Double 8 0 0 Channel bankfull depth (m); from regional regression. The terms and coefficients for the regressions vary regionally; the models used are listed by region in the NetMap online technical help. VAL_WIDTH VAL_WIDTH Double 8 0 0 Valley width calculated at 5 multiples of bankfull depth for use in the fish habitat intrinsic potential models (IP); VWI_floor is valley width/channel width is used in the IP models.But note that using this index can result in less accurate IP habitat mapping, particularly using LiDAR based NetMap datasets. For IP mapping, you will want to use the flooplain tool at 2 multiples of bankfull depth, and then run the channel confinement tool, and use that output in the IP model interface. For more information, see http://www.terrainworks.com/intrinsic-potential-ip-fish-habitat-modeling-read FP_WIDTH FP_WIDTH Double 8 0 0 The average width (m) of the mapped floodplain, calculated at 2x bankfull depth above the channel. VWI_Floor VWI_Floor Single 4 0 0 Valley width index (ratio of valley width to channel bankfull width) at an elevation of 5 multiples of bankfull depth; used in calculating fish habitat intrinsic potential (IP), generally for anadromous fish (coho, steelhead, chinook), after Burnett et al. 2007.But note that using this index can result in less accurate IP habitat mapping, particularly using LiDAR based NetMap datasets. For IP mapping, you may want to use NetMap's flooplain tool at 2 multiples of bankfull depth, and then run NetMap's channel confinement tool, and use that output in the IP model interface. For more information, see http://www.terrainworks.com/intrinsic-potential-ip-fish-habitat-modeling-read Valley width index (ratio of valley width to channel bankfull width) at an elevation of 5 multiples of bankfull depth; used in calculating fish habitat intrinsic potential (IP), generally for anadromous fish (coho, steelhead, chinook), after Burnett et al. 2007.But note that using this index can result in less accurate IP habitat mapping, particularly using LiDAR based NetMap datasets. For IP mapping, you may want to use NetMap's flooplain tool at 2 multiples of bankfull depth, and then run NetMap's channel confinement tool, and use that output in the IP model interface. For more information, see http://www.terrainworks.com/intrinsic-potential-ip-fish-habitat-modeling-read ValCnstrnt ValCnstrnt String 13 0 0 channel confinement classes, valley width/channel width: constrained, unconstrained, transition and intermediate - see NetMap tool for additional information GRADIENT GRADIENT Double 8 0 0 The slope gradient of each reach. Gradient is calculated for every node in the linked-node channel data structure. Reach gradients are estimated as the mean gradient of all nodes containted in the reach. The gradient at each node is iteratively calculated by fitting a 2nd-order polynomial over a window centered on the node. Window length varies linearly with gradient, from 50m for gradients of 0.2 or greater to 500m for gradients of 0.001 or less. DROPMAX DROPMAX Double 8 0 0 Maximum downstream waterfall drop. User-specified parameters. INCISE20 INCISE20 Single 4 0 0 POS2000 POS2000 Single 4 0 0 HOR20 HOR20 Single 4 0 0 GEPSum GEPSum Double 8 0 0 GEPArea GEPArea Double 8 0 0 FAN FAN Integer 4 0 0 Karst Karst Integer 4 0 0 Palustrine Palustrine Integer 4 0 0 Estuary Estuary Integer 4 0 0 TribCount TribCount Integer 4 0 0 ICE_US ICE_US Integer 4 0 0 Tong_Class Tong_Class String 5 0 0 Basin_ID Basin_ID Integer 4 0 0 Basin identifier - basins generally from NHD (HUC12) IP_COHO IP_COHO Single 4 0 0 Coho intrinsic habitat potential (IP) from Burnett et al. (2007; http://andrewsforest.oregonstate.edu/pubs/pdf/pub3854.pdf). Index values vary from 0-1, with higher values indicating greater intrinsic potential for development of coho rearing habitat. Index values are dependent on mean annual discharge (calculated using regional regressions to contributing area and mean annual precipitation), channel gradient, and the ratio of valley width (delineated from the DEM) and channel width (calculated using regional regressions to mean annual flow). Index curves are piece-wise continuous linear functions:However, be aware that IP model results can be out of date, see for more details:http://www.terrainworks.com/intrinsic-potential-ip-fish-habitat-modeling-read Source=Burnett et al., 2007, Ecological Applications 17:66-80 p_trib p_trib Single 4 0 0 Probability of a reach segment having a tributary confluence effect, based on the estimated probability of tributary effects (Benda et al., 2004 a&b, http://www.earthsystems.net/docs/Benda_etal_WRR_2004.pdf, http://www.fsl.orst.edu/clams/download/pubs/Brenda_et_al%202004%20BioScience.pdf). For each tributary junction, the probability of effects in the mainstem channel is calculated as a function of the ratio of tributary to mainstem channel contributing area. This probability is assumed to decrease linearly from a maximum at the junction to zero at a distance from the junction dependent on mainstem size. The modeled probability for each tributary is calculated for each node within this patch-length distance, and the conditional probability of effects at the node is determined accounting for all near by tributaries. The reach value is the mean probability of tributary effects for all nodes within the reach. Source = Benda et al., 2004, Water Resources Research, V40, DOI: 10.1029/2003WR002583, Benda et al., 2004, BioScience, V54, p 413-427. FlowVel FlowVel Single 4 0 0 Flow velocity (m/s) at bankfull depth BFQ BFQ Double 8 0 0 Bank full discharge (m3/s); calculated using bankfull depth, width and flow velocity StrmPow StrmPow Double 8 0 0 Stream power is calculated as: PgQs where P is density of water (1000 kg/m3), g is acceleration due to gravity (9.8 m/s2), Q is discharge (m3/s) and S is channel slope. Q is calculated as WdV where W is bankfull channel width (m), d is bankfull channel depth (m), and v is velocity (m/s). BeavHab BeavHab Integer 4 0 0 Intrinsic habitat potential for beaver, from Pollock et al., 2004 (http://gis.ess.washington.edu/grg/publications/pdfs/Pollock.pdf). Source=Pollock et al. 2004, North American Journal of Fisheries Management, V 24, p. 749-760. Fish Fish Integer 4 0 0 Each reach segment has a "fish" or "no fish" identifier, defined by the tool user or by an imported shapefile.Note that in the Nehalem watershed, the ODFW salmon (coho) distribution was used to define fish-bearing streams. FISH_RESID FISH_RESID Integer 4 0 0 User-defined fish-bearing network P_DF_AVE P_DF_AVE Single 4 0 0 A relative potential for landslide-triggered debris flow effects (including scour, traversal, or deposition) within the reach. This value takes into account the number of upslope landslide sources, the potential for landsliding from each source, and the potential for a debris flow to travel from the source to the reach. Values are based on empirical models described in Miller and Burnett, 2007 & 2008 (http://www.fsl.orst.edu/clams/download/pubs/2008Geo_Miller_Burnett.pdf and http://www.fsl.orst.edu/clams/download/pubs/2007WRR_miller_burnett.pdf), which were calibrated to data from the Oregon Coast Range following the large storm of 1996. The values indicate the spatial density of modeled debris flow potential - the model indicates, for example, that we expect to find evidence of debris flows twice as often in reaches with a value of two than in reaches with a value of one, but it does not provide information on what the actual frequency is. Source = Miller and Burnett 2007, Water Resources Research, V43, doi::10.1029/2005WR004807; 2008, Geomorphology, V94 184-205 DF_Junct DF_Junct Single 4 0 0 Potential for debris flow effects in any reach (scour, traversal, deposition) - reported only at reaches intersecting another reach (e.g., tributary junction reaches); the reach value is the debris flow potential originating from the smaller tributary in the stream reach immediately upstream of the junction; see tool GEP_Cum GEP_Cum Double 8 0 0 The GEP (Generic Erosion Potential) value integrated over the entire upstream contributing area to the downstream end of the reach. GEP is found empirically to correlate with sediment yield, although the relationship is generally nonlinear. GEP_Cum thus provides a relative value proportional to total sediment production for the entire contributing area to the reach. GEP is a topographic index calculated for each DEM cell: GEP = A(r)*Slope/Bcontour, where A(r) is the contributing area to a DEM cell from within a radius r (here set to the DEM cell spacing), Slope is the surface gradient of the cell, and Bcontour is the contour length crossed by flow tubes entering the cell (a measure of topographic convergence). GEP values are truncated to a maximum of 1.0. GEP GEP Double 8 0 0 The GEP (Generic Erosion Potential) value integrated over the adjacent contributing area to the reach. GEP is found empirically to correlate with sediment yield, although the relationship is generally nonlinear. GEP thus provides a relative value proportional to total sediment production for the local (adjacent) contributing area to the reach. GEP is a topographic index calculated for each DEM cell: GEP = A(r)*Slope/Bcontour, where A(r) is the contributing area to a DEM cell from within a radius r (here set to the DEM cell spacing), Slope is the surface gradient of the cell, and Bcontour is the contour length crossed by flow tubes entering the cell (a measure of topographic convergence). GEP values are truncated to a maximum of 1.0. GEP_DEL GEP_DEL Double 8 0 0 The product GEP*DELIV integrated over the adjacent contributing area to a reach, where GEP is the Generic Erosion Potential of a DEM cell and DELIV is the modeled potential for delivery of material from the cell to a stream channel with a gradient less than or equal to a specified value. GEP_DEL provides a relative value proportional to the total sediment production delivered to stream channels from shallow landsliding, debris flow, and gullying from the local, adjacent contributing area (the drainage wings). GEP is a topographic index calculated for each DEM cell: GEP = A(r)*Slope/Bcontour, where A(r) is the contributing area to a DEM cell from within a radius r (here set to the DEM cell spacing), Slope is the surface gradient of the cell, and Bcontour is the contour length crossed by flow tubes entering the cell (a measure of topographic convergence). GEP values are truncated to a maximum of 1.0. DELIV is based on the model for debris flow delivery described by Miller and Burnett 2008 (http://www.fsl.orst.edu/clams/download/pubs/2008Geo_Miller_Burnett.pdf). DELIV values vary from zero to one. See Generic Erosion Potential and Sediment Delivery Tools Lake Lake Integer 4 0 0 If a reach is within a mapped lake, it is given the lake ID value, otherwise zero. Lake locations are from the National Hydrographic Dataset (NHD). FISH_Anadr FISH_Anadr Integer 4 0 0 IP_Coho_AK IP_Coho_AK Double 8 0 0 IP_Chum IP_Chum Double 8 0 0 IP_Pink IP_Pink Double 8 0 0 IP_Cut IP_Cut Double 8 0 0 F12P_UpLen F12P_UpLen Double 8 0 0 F12P_UpMnC F12P_UpMnC Double 8 0 0 All_UpLeng All_UpLeng Double 8 0 0 UpLength UpLength Double 8 0 0 UpMean UpMean Double 8 0 0 UpSum UpSum Double 8 0 0 IP0_5Len IP0_5Len Double 8 0 0 IP0_75Len IP0_75Len Double 8 0 0 UpSum0_5IP UpSum0_5IP Double 8 0 0 UpSum0_75I UpSum0_75I Double 8 0 0 Shape_Length Shape_Length Double 8 0 0 Length of feature in internal units. 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