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i07 SignificantResourceAreas Delta 1979
"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
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i07 Habitat Restoration Polygons
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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.
i06 Bathy DWR 1991 JoiceIsland and SurroundingAreas
공공데이터포털
This dataset, (i06_SingleBeam_Bathymetry) is a feature dataset containing point feature classes with single beam bathymetric data collected by California Department of Water Resources and other entities.
i08 Delta InChannel Islands
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Data contains historical polygons of in-channel islands within the Sacramento San Joaquin Delta. Data consists of merged datasets from 1929, 1940, 1949, 1952, 1995, 2002, and 2017. The 2017 polygons are digitized from the 2017 Delta LiDAR imagery by the Division of Engineering, Geomatics Branch, Geospatial Data Support Section. The older pre-2017 polygons were all digitized by staff in the Delta Levees Program. Data can be queried for a single year or date range using the 'Year' field. Historical data was compiled and merged from datasets provided by the Delta Levees program. Data coverage differs between years. Absences or gaps in historical data may occur. Older acquisitions generally have a smaller footprint than recent imagery acquisitions. The 2017 in-channel islands cover the Legal Delta, and also include Chipps Island.
i06 Bathy DWR 1991 JoiceIsland and SurroundingAreas
공공데이터포털
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i06 Bathy CVFED Fugro 2010 Delta AmericanRiver FeatherRiver
공공데이터포털
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i06 Bathy CVFED DWR 2010 SanJoaquinRiver and Tributaries
공공데이터포털
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i06 Bathy CVFED HDR 2009 SanJoaquinRiver and Tributaries
공공데이터포털
This dataset, (i06_SingleBeam_Bathymetry) is a feature dataset containing point feature classes with single beam bathymetric data collected by California Department of Water Resources and other entities.
i06 Bathy NOAA 1933 1954 CarquinezStrait SuisunBay Delta
공공데이터포털
This dataset, (i06_SingleBeam_Bathymetry) is a feature dataset containing point feature classes with single beam bathymetric data collected by California Department of Water Resources and other entities.
i06 Bathy DWR 1978 1982 SuisunMarsh
공공데이터포털
This dataset, (i06_SingleBeam_Bathymetry) is a feature dataset containing point feature classes with single beam bathymetric data collected by California Department of Water Resources and other entities.
i17 Delta Levees Centerlines 2007
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,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,