20220527
10423300
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FGDC CSDGM Metadata
FALSE
Kake_Netmap_
002
795602.000000
827862.000000
554058.000000
586174.000000
1
24.535
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_StatePlane_Alaska_1_FIPS_5001
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20231212
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Kake_Netmap_
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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should be aware that changes may have occurred since this data set was created and that some parts of this data may no longer represent actual conditions.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.
<span style='background-color:rgb(255, 255, 255);'><font color='#000000' face='__Inter_a184c8, __Inter_Fallback_a184c8'><div style='font-size:16px;'>This dataset offers a detailed representation of the Kake area in Southeast Alaska, integrating region-specific Intrinsic Potential (IP) models for key salmon species, including pink, chum, and coho salmon. These species are vital to the ecological health and cultural heritage of the region. Designed to support fish habitat assessments and conservation planning, this layer provides valuable insights into the potential habitat quality and availability for these anadromous species. The data were derived from high-resolution 2-meter LiDAR imagery that was flown and processed in 2017. By offering detailed information on habitat quality and availability, this dataset enables researchers, conservationists, and resource managers to make informed decisions regarding habitat restoration, management practices, and conservation strategies.</div><div><span style='font-size:16px;'><div><br /></div></span></div><div style='font-size:16px;'><span style='color:rgb(76, 76, 76);'><font color='#000000'>For greater understanding of the data and associated attributes, see the </font></span><a href='https://www.netmaptools.org/Pages/NetMapHelp/master_attribute_list.htm' style='font-family:"Avenir Next", Avenir, "Helvetica Neue", Helvetica, Arial, sans-serif; font-size:15px;' target='_blank' rel='nofollow ugc noopener noreferrer'>master attribute list</a><span style='color:rgb(76, 76, 76);'><font color='#000000'> provided by NetMaps.</font></span><span style='color:rgb(76, 76, 76);'><font color='#000000'></font></span></div><div style='font-size:16px;'><br /><br /></div></font></span>
NetMapStream GradientSalmon
File Geodatabase Feature Class
24.535
dataset
EPSG
2.1(8.0.1)
0
Simple
FALSE
0
TRUE
FALSE
Kake_Netmap_
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.
del
del
Double
8
0
0
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
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
Basin_ID
Basin_ID
Double
8
0
0
Basin identifier - basins generally from NHD (HUC12)
LAKE
LAKE
Double
8
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).
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.
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.
Incise5
Incise5
Double
8
0
0
GradBk5CW
GradBk5CW
Double
8
0
0
UPGRAD5CW
UPGRAD5CW
Double
8
0
0
MAX_GRAD_D
MAX_GRAD_D
Double
8
0
0
Maximum downstream gradient over user-specified window.
FP_WIDTH
FP_WIDTH
Single
4
0
0
The average width (m) of the mapped floodplain, calculated at 2x bankfull depth above the channel.
VAL_WIDTH
VAL_WIDTH
Single
4
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
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
ValCnstrnt
ValCnstrnt
Double
8
0
0
channel confinement classes, valley width/channel width: constrained, unconstrained, transition and intermediate - see NetMap tool for additional information
DROPMAX
DROPMAX
Double
8
0
0
Maximum downstream waterfall drop. User-specified parameters.
IP_Chinook
IP_Chinook
Single
4
0
0
Chinook intrinsic habitat potential (IP) from Busch et al., River Research and Applications, 2011 (http://www.onrc.washington.edu/MarinePrograms/IPmodeling/Discussion/IPModels/rra1597.pdf). Index values vary from 0-1, with higher values indicating greater intrinsic potential for development of chinook spawning habitat. Index values are dependent on channel gradient, channel width, and channel confinement, expressed as the ratio of valley width (delineated at 5 active channel depths above the channel from the DEM) to channel width. Index curves are piece-wise continuous linear functions: Gradient <= 0.02, IG=1; = 0.07, IG = 0.05; > 0.07, IG = 0 Width < 4m, IW = 0; > 20m, IW = 1 Confinement =1, IC = 0.25, >8.87, IC = 1 IP = (IG*IW*IC)^(1/3). Source=Busch et al., 2011. River Research and Applications, DOI: 10.1002/rra.1597
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.
roadX
roadX
Integer
4
0
0
Every reach that contains a mapped road crossing has value 1, otherwise 0. Identification of road crossings is dependent on the completeness and accuracy of the road vector data provided for use with NetMap.
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.
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
DOWN_ID
DOWN_ID
Integer
4
0
0
ID of the downstream reach
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.
IP_Steelhd
IP_Steelhd
Single
4
0
0
Steelhead 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 steelhead 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
IP_Pink
IP_Pink
Single
4
0
0
Pink salmon Habitat Intrinsic Potential
IP_Chum
IP_Chum
Single
4
0
0
FISH_RESID
FISH_RESID
Integer
4
0
0
INCISE20
INCISE20
Single
4
0
0
POS2000
POS2000
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
HOR20
HOR20
String
254
0
0
S_TDif
S_TDif
Double
8
0
0
SNAP air temperature change (deg C): historical to 2060
S_PDifL
S_PDifL
Double
8
0
0
SNAP precipitation % change: historical to 2060 - local area
S_PDifC
S_PDifC
Double
8
0
0
SNAP precipitation % change: historical to 2060 - upstream average
S_SDifL
S_SDifL
Double
8
0
0
SNAP %change in % wet days as snow: historical to 2060 - local area
S_SDifC
S_SDifC
Double
8
0
0
SNAP %change in % wet days as snow: historical to 2060 - upstream average
F12P_UpLen
F12P_UpLen
Double
8
0
0
F12P_UpMnC
F12P_UpMnC
Double
8
0
0
All_UpLeng
All_UpLeng
Double
8
0
0
FISH_Anadr
FISH_Anadr
Integer
4
0
0
IP_Coho_AK
IP_Coho_AK
Double
8
0
0
IP_Cut
IP_Cut
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.
Esri
Positive real numbers that are automatically generated.
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