This dataset represents the 1977 Delta Habitat Types that were distributed in the 1979 Delta Environmental Atlas, produced by USACE. 1977 Delta Habitat Types were made digital by heads up digitizing registered scanned pages from 1979 Delta Environmental Atlas, produced by USACE. "The Habitat Types & Vegetation section delineates on 1 inch to 1000 foot scale aerial photographs the habitat types found in the Delta, described according to the classification system of the US Fish & Wildlife Service. Thirteen habitat types are defined in this Atlas. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.2, dated September 10, 2021. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov as available and appropriate.

Approximate locations for habitat projects located within the Sacramento-San Joaquin Delta. This project list builds on earlier efforts, including those of DWR, CALFED Ecosystem Restoration Program (ERP), Natural Resources Projects Inventory (NRPI), Wildlife Conservation Board, and other private programs that track restoration projects using GIS. The features consist of acquisitions, planned, and implemented projects that occurred from 1994 through the present. The project boundaries are not surveyed boundaries or derived from legal descriptions, but rather were established using various methods and sources, such as interpretations of rough paper maps provided by project proponents, available institutional knowledge, and interpretations of aerial imagery. Many of the projects are in the planning stages, with some boundaries subject to change. Additionally, some features represent the actual project footprint, while other features represent the entire property boundary.

Approximate locations for habitat projects located within the Sacramento-San Joaquin Delta. This project list builds on earlier efforts, including those of DWR, CALFED Ecosystem Restoration Program (ERP), Natural Resources Projects Inventory (NRPI), Wildlife Conservation Board, and other private programs that track restoration projects using GIS. The features consist of acquisitions, planned, and implemented projects that occurred from 1994 through the present. The project boundaries are not surveyed boundaries or derived from legal descriptions, but rather were established using various methods and sources, such as interpretations of rough paper maps provided by project proponents, available institutional knowledge, and interpretations of aerial imagery. Many of the projects are in the planning stages, with some boundaries subject to change. Additionally, some features represent the actual project footprint, while other features represent the entire property boundary.

"This section identifies those areas in the Delta which because of their resource value should receive special consideration. Those areas...have been classified as Significant Resource Areas. These areas were selected based on several factors, which include significant areas of habitat, the presence of endangered plant or animal species, relative abundance of similar areas within the Delta and State, aesthetic and recreation value, concentrations of archaelogical or historical sites, level of present disturbance, and potential for future disturbance. In evaluating Delta lands to determine Significant Resource Areas, information was obtained from several data sources including consultations with individuals from various State, federal, local, and private organizations. Each area identified as having potential value was inspected using aerial photographs, in the field, or both." -this from the Delta Environmental Atlas, published 7/1979, by USACE. References to the DMRP in the attribute table refer to the Delta Master Recreation Plan. 1979 Delta Significant Resource Areas were made digital by heads up digitizing registered scanned pages from 1979 Delta atlas. About the scanned maps from the Atlas: Digital images were clipped prior to warping to reduce risk of error during processing due to excess background. Digital clipped images were registered to USGS DOQQ's in ArcView 3.x(ESRI) utilizing Imagewarp 2.x extension. 23 October, 2002, Projection: UTM meters zone 10, nad 83. Accuracy within acceptable 7.5 Minute USGS map accuracy standards (1:24000 scale). For this set, the minimum number of control points used was 10 with an average of 12 to 15 points used. The pixel size for this set is 27.0 feet per pixel

This dataset represents the 1979 Delta Significant Resources Areas distributed in the 1979 Delta Environmental Atlas, produced by USACE. Intended to assess desirability of certain locations within the Delta for environmental attention. "This section identifies those areas in the Delta which because of their resource value should receive special consideration. Those areas...have been classified as Significant Resource Areas. These areas were selected based on several factors, which include significant areas of habitat, the presence of endangered plant or animal species, relative abundance of similar areas within the Delta and State, aesthetic and recreation value, concentrations of archaelogical or historical sites, level of present disturbance, and potential for future disturbance. In evaluating Delta lands to determine Significant Resource Areas, information was obtained from several data sources including consultations with individuals from various State, federal, local, and private organizations. Each area identified as having potential value was inspected using aerial photographs, in the field, or both." - Delta Environmental Atlas, published 7/1979, by USACE. References to the DMRP in the attribute table refer to the Delta Master Recreation Plan. 1979 Delta Significant Resource Areas were made digital by heads up digitizing registered scanned pages from 1979 Delta atlas. About the scanned maps from the Atlas: Digital images were clipped prior to warping to reduce risk of error during processing due to excess background. Digital clipped images were registered to USGS DOQQ's in ArcView 3.x(ESRI) utilizing Imagewarp 2.x extension. 23 October, 2002, Projection: UTM meters zone 10, nad 83. Accuracy within acceptable 7.5 Minute USGS map accuracy standards (1:24000 scale). For this set, the minimum number of control points used was 10 with an average of 12 to 15 points used. The pixel size for this set is 27.0 feet per pixel The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.2, dated September 10, 2021. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov as available and appropriate.

The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be sent to gis@water.ca.gov.

,In the Delta Anatomy Mapping Project, all levee anatomies were delineated using slope grids built from available 2007 Delta LIDAR data points. LIDAR data points were converted to digital elevation models and subsequently into slope grids. Thresholds were identified that capture the levee crown, levee landside, levee waterside, ramps and toe ditches. Visual interpretations of slope thresholds were used in conjunction with heads-up digitizing to maintain smooth boundaries at a scale of 1:550. The delineation thresholds were derived from a combination of mapping scale, slope grid resolution and slope thresholds used for each anatomy classification. All anatomy has gone through internal quality control processes to ensure a minimum accuracy of +/- 3 feet.,Anatomy data was further reviewed and tested by DWR for compliance with an interpretive mapping standard of 80% accuracy. Once the levee anatomy was created and accepted, isolation and export of the levee crown was used in conjucture with ET Geowizards to collapse the crown to a singular centerline which details the levee route. This data depicts the levee anatomy at the time of the LiDAR survey (2007) and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was created and some parts of this data may no longer represent actual surface conditions. Changes in some linework and attribution were performed by CA DWR Division of Engineering in September, 2018, and current version was posted to DWR GIS Atlas at that time,

Detailed center lines of the Sacramento-San Joaquin levee systems, and broken into singular segments of consistent-attribute sets. This version created from mapping from the 2007 Delta LIDAR. The use of high-resolution LiDAR, and the products derived from it, allow for levee anatomy to be captured for the surveyed area. The resulting data allows for the levee crown sections to be isolated and collapsed to a centerline, detailing the route of the levee system. This data can further be used for levee maintenance and management, flood modeling and prediction, as well as levee inventories. The data are therefore mostly the structural center lines of the levees, with some minor modifications as warranted. In the Delta Anatomy Mapping Project, all levee anatomies were delineated using slope grids built from available 2007 Delta LIDAR data points. LIDAR data points were converted to digital elevation models and subsequently into slope grids. Thresholds were identified that capture the levee crown, levee landside, levee waterside, ramps and toe ditches. Visual interpretations of slope thresholds were used in conjunction with heads-up digitizing to maintain smooth boundaries at a scale of 1:550. The delineation thresholds were derived from a combination of mapping scale, slope grid resolution and slope thresholds used for each anatomy classification. All anatomy has gone through internal quality control processes to ensure a minimum accuracy of +/- 3 feet. Anatomy data was further reviewed and tested by DWR for compliance with an interpretive mapping standard of 80% accuracy.Once the levee anatomy was created and accepted, isolation and export of the levee crown was used in conjucture with ET Geowizards to collapse the crown to a singular centerline which details the levee route. This data depicts the levee anatomy at the time of the LiDAR survey (2007) and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was created and some parts of this data may no longer represent actual surface conditions. Changes in some linework and attribution were performed by CA DWR Division of Engineering in September, 2018, and current version was posted to DWR GIS Atlas at that time. This data set was produced by joint effort of DWR and Chico State University. Data were originally developed and supplied by the Geographic Information Center at California State University at Chico, under contract to California Department of Water Resources. DWR subsequently modified the linework in a few places along with the attribution for various levee characteristics of interest. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be sent to GIS@water.ca.gov

The Natural Communities Commonly Associated with Groundwater (NCCAG) dataset is a compilation of phreatophytic vegetation, regularly flooded natural wetlands and riverine areas, and springs and seeps extracted from 48 publicly available state and federal agency datasets. Two habitat classes are included in the dataset: wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The NCCAG dataset began as an amalgamation of vegetation and wetland datasets with different scales, resolutions, attribute details, and classifications. A working group comprised of DWR, California Department of Fish and Wildlife (CDFW) and The Nature Conservancy (TNC) further reviewed the vegetation and wetland datasets and conducted a screening process to identify the vegetation and wetland types considered to be commonly associated with groundwater (Klausmeyer et al., 2018). The NCCAG dataset can be used as a starting point to investigate and identify groundwater dependent ecosystems (GDEs) within a groundwater basin. Identifying GDEs requires detailed understanding of the land use, groundwater levels, hydrology, and geology of a location. This comprehensive understanding of geology, hydrology, and biology is not available at the statewide scale. Further investigation and verification of the connection and dependence between groundwater and mapped vegetation and wetlands at a local scale may be needed for water managers in sustainable groundwater management planning.

The Natural Communities Commonly Associated with Groundwater (NCCAG) dataset is a compilation of phreatophytic vegetation, regularly flooded natural wetlands and riverine areas, and springs and seeps extracted from 48 publicly available state and federal agency datasets. Two habitat classes are included in the dataset: wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The NCCAG dataset began as an amalgamation of vegetation and wetland datasets with different scales, resolutions, attribute details, and classifications. A working group comprised of DWR, California Department of Fish and Wildlife (CDFW) and The Nature Conservancy (TNC) further reviewed the vegetation and wetland datasets and conducted a screening process to identify the vegetation and wetland types considered to be commonly associated with groundwater (Klausmeyer et al., 2018). The NCCAG dataset can be used as a starting point to investigate and identify groundwater dependent ecosystems (GDEs) within a groundwater basin. Identifying GDEs requires detailed understanding of the land use, groundwater levels, hydrology, and geology of a location. This comprehensive understanding of geology, hydrology, and biology is not available at the statewide scale. Further investigation and verification of the connection and dependence between groundwater and mapped vegetation and wetlands at a local scale may be needed for water managers in sustainable groundwater management planning.