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Parcels within San Joaquin County limits. Updated: 6/2025

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This file is an interpretation of an excel spreadsheet received from City of Escalon (David Ruby) on 2/20/2014. The file represents the locations of benchmarks in or near the City of Escalon. Contact David Ruby @ DRuby@cityofescalon.org for more information about the original spreadsheet and benchmark locations within the City of Escalon.

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San Joaquin County, CA - City Limits

© San Joaquin County GIS This layer is a component of App District Viewer.

The California State Water Resources Control Board is currently in the process of improving the functionality and accessibility of information residing in their Water Quality Control Plans (aka Basin Plans). In order to achieve this, the data (i.e. statewide water quality objectives, beneficial uses, applicable TMDLs, etc.), are being transferred to a standardized digital format and linked to applicable surface water features. This dataset is limited to the beneficial uses data, while the water quality objectives, applicable TMDLs, etc. will be released at a later date. Data formats will include GIS data layers and numerous nonspatial data tables. The GIS layers contain hydrography features derived from a 2012 snapshot of the high-resolution (1:24000 scale) National Hydrography Dataset with added attribution. Nonspatial tables will contain various textual and numeric data from the Regional Basin and State Plans. The extent of the dataset covers the state of California and the non-spatial tables reflect the information and elements from the various plans used up to 2020. The GIS layers and associated attribution will enable the future integration of the various elements of the Basin Plans to ensure that all applicable Basin Plan requirements for a particular waterbody can be determined in a quick and precise manner across different modern mediums. The data are being managed and the project implemented by State and Regional Water Board staff using ESRI's ArcGIS Server and ArcSDE technology.

San Joaquin County, CA - Stormwater Districts

© San Joaquin County GIS This layer is a component of App District Viewer.

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Lighting Districts in San Joaquin County.

Superseded:

A more recent version of this product appears here:

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-for-modeling-version-4-1

This product will continue to be distributed for archival purposes.

Product

The product is a set of mutually consistent 10m and 2m integrated elevation maps (DEM) in standard ascii format.There are few missing data where there is water or at land-water interfaces. However, our map does have gaps at some inland and island sites. We have opted not to fill these because there is an ongoing project at DWR to re-analyze LiDAR returns and improve the terrestrial map. The CSTARS project at UC Davis is doing this as well.

This product is developed based on synthesizing LiDAR, single- and multibeam sonar soundings and existing integrated maps collated from multiple sources. The following figure shows the data sources used for different areas. The western part of our Bay-Delta work blends the original Foxgrover map with the 1/3 arc second DEM produced by NOAA. These are close in the region of overlap and edge-matches the NOAA data well, but the NOAA map seems to capture things like bridge footings that the original 10m Foxgrover map of the region smooths. A richer 2m product combining new data and some interpolation is due to be release by USGS in Winter or Spring 2013. Our previews of this map indicate that it is heavily based on the 1/3 arc second NOAA map for points near Carquinez Straits. For more information, please refer to the article: A Continuous Surface Elevation Map

Please note that we distribute only our own integrated maps, not the original constituent data.

Data Sources

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-v3/resource/36a1a7b0-895e-4b10-bc78-1962f523fb05

Coverage Areas

https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-v3/resource/9e7c5963-ba33-4b3d-91a9-5e45671faad4

San Joaquin County, CA - Reclamation Districts

© San Joaquin County GIS This layer is a component of App District Viewer.

Vector polygon map data of sewer districts from San Joaquin County, California, containing 43 features.

A sewer district, also known as a sanitary district or wastewater district, is a local government agency responsible for managing and maintaining sewer systems within a specific geographical area. These districts are tasked with collecting and treating wastewater and sewage from homes, businesses, and industries to prevent pollution of waterways and protect public health.

Sewer districts typically oversee the construction, operation, and maintenance of sewer pipes, pump stations, treatment plants, and other infrastructure necessary for wastewater management. They may also implement regulations and programs to promote water conservation and pollution prevention within their jurisdiction.

This sewer district data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

San Joaquin County, CA - Communities

© San Joaquin County GIS This layer is a component of App District Viewer.

This report includes the previously unpublished primary and derivative data sets that underpin the construction of the three dimensional (3D) geologic map of the upper part of the Earth's crust beneath the Sacramento-San Joaquin River Delta, California. The primary data is X,Y,Z locations of stratigraphic horizons and, to a much lesser extent, geologic structures where penetrated by oil and gas wells in the subsurface as recorded in well logs and well records. The derivative data sets were constructed to more closely constrain the principal stratigraphic horizons and geologic structures that were incorporated into the 3D model. The derivative data sets are extracted from the principal data set or a combination of the principal data set with other previously published data. This Data Release is not intended to be a stand-alone publication, but is only intended to release the digital data sets that undergird the related Scientific Investigations Report. The information in this Data Release mainly describes the details of the contents and formats of the digital files. The user is encouraged to refer to the main report for more discussion of sources and methods.

Transportation Segments in San Joaquin County

San Joaquin Valley Subsidence Analysis README.
Written: Joel Dudas, 3/12/2017. Amended: Ben Brezing, 4/2/2019. DWR’s Division of Engineering Geodetic Branch received a request in 1/2017 from Jeanine Jones to produce a graphic of historic subsidence in the entirety of the San Joaquin Valley. The task was assigned to the Mapping & Photogrammetry Office and the Geospatial Data Support Section to complete by early February. After reviewing the alternatives, the decision was made to produce contours from the oldest available set of quad maps for which there was reasonable certainty about quality and datum, and to compare that to the most current Valley-wide DEM. For the first requirement, research indicated that the 1950’s vintage quad maps for the Valley were the best alternative. Prior quad map editions are uneven in quality and vintage, and the actual control used for the contour lines was extremely suspect. The 1950’s quads, by contrast, were produced primarily on the basis of 1948-1949 aerial photography, along with control corresponding to that period, and referenced to the National Geodetic Vertical Datum of 1929. For the current set, the most recent Valley-wide dataset that was freely available, in the public domain, and of reasonable accuracy was the 2005 NextMap SAR acquisition (referenced to NAVD88). The primary bulk of the work focused on digitizing the 1950’s contours. First, all of the necessary quads were downloaded from the online USGS quad source https://ngmdb.usgs.gov/maps/Topoview/viewer/#4/41.13/-107.51. Then the entire staff of the Mapping & Photogrammetry Lab (including both the Mapping Office and GDDS staff) proceeded to digitize the contours. Given the short turnaround time constraint and limited budget, certain shortcuts occurred in contour development. While efforts were made to digitize accurately, speed really was important. Contours were primarily focused only on agricultural and other lowland areas, and so highlands were by and large skipped. The tight details of contours along rivers, levees, and hillsides was skipped and/or simplified. In some cases, only major contours were digitized. The mapping on the source quads itself varied….in a few cases on spot elevations on benchmarks were available in quads. The contour interval sometimes varied, even within the quad sheet itself. In addition, because 8 different people were creating the contours, variability exists in the style and attention to detail. It should be understood that given the purpose of the project (display regional subsidence patterns), that literal and precise development of the historic contour sets leaves some things to be desired. These caveats being said, the linework is reasonably accurate for what it is (particularly given that the contours of that era themselves were mapped at an unknown and varying actual quality). The digitizers tagged the lines with Z values manually entered after linework that corresponded to the mapped elevation contours. Joel Dudas then did what could be called a “rough” QA/QC of the contours. The individual lines were stitched together into a single contour set, and exported to an elevation raster (using TopoToRaster in ArcGIS 10.4). Gross blunders in Z values were corrected. Gaps in the coverage were filled. The elevation grid was then adjusted to NAVD88 using a single adjustment for the entire coverage area (2.5’, which is a pretty close average of values in this region). The NextMap data was extracted for the area, and converted into feet. The two raster sets were fixed to the same origin point. The subsidence grid was then created by subtracting the old contour-derived grid from the NextMAP DEM. The subsidence grid that includes all of the values has the suffix “ALL”. Then, to improve the display fidelity, some of the extreme values (above +5’ and below -20’*) were filtered out of the dataset, and the subsidence grid was regenerated for these areas and suffixed with “cut.” The purpose of this cut was to extract some of the riverine and hilly areas that produced more extreme values and other artifacts purely due to the analysis approach (i.e. not actual real elevation change). * - some of the areas with more than 20 feet of subsidence were omitted from this clipping, because they were in heavily subsided areas and may be “real subsidence.”The resulting subsidence product should be perceived in light of the above. Some of the collar of the San Joaquin Valley shows large changes, but that is simply due to the analysis method. Also, individual grid cells may or may not be comparing the same real features. Errors are baked into both comparison datasets. However, it is important to note that the large areas of subsidence in the primary agriculture area agree fairly well with a cruder USGS subsidence map of the Valley based on extensometer data. We have confidence that the big picture story these results show us is largely correct, and that the magnitudes of subsidence are somewhat reasonable. The contour set can serve as the baseline to support future comparisons using more recent or future data as it becomes available. It should be noted there are two key versions of the data. The “Final Deliverables” from 2/2017 were delivered to support the initial Public Affairs press release. Subsequent improvements were made in coverage and blunder correction as time permitted (it should be noted this occurred in the midst of the Oroville Dam emergency) to produce the final as of 3/12/2017. Further improvements in overall quality and filtering could occur in the future if time and needs demand it.
Update (4/3/2019, Ben Brezing): The raster was further smoothed to remove artifacts that result from comparing the high resolution NextMAP DEM to the lower resolution DEM that was derived from the 1950’s quad map contours. The smoothing was accomplished by removing raster cells with values that are more than 0.5 feet different than adjacent cells (25 meter cell size), as well as the adjacent cells. The resulting raster was then resampled to a raster with 100 meter cell size using cubic resampling technique and was then converted to a point feature class. The point feature class was then interpolated to a raster with 250 meter cell size using the IDW technique, a fixed search radius of 1250 meters and power=2. The resulting raster was clipped to a smaller extent to remove noisier areas around the edges of the Central Valley while retaining coverage for the main area of interest.

Geodatabase feature class containing a map of vegetation within the Great Valley Ecoregion produced by the Geographical Information Center (GIC) at CSU Chico. The dataset combines both new mapping and the previously completed Central Valley Riparian and Sacramento Valley and the Southern San Joaquin Valley vegetation maps. Vegetation polygons were manually digitized as interpreted using the National Agricultural Inventory Program's (NAIP) 2009 (Central Valley Riparian and Sacramento Valley map), 2012 (Southern San Joaquin Valley map) and 2014 (balance of San Joaquin Valley) aerial imagery at a scale of 1:2000. The minimum mapping unit (mmu) for natural vegetation is 1.0 acre, with a minimum average width of 10 meters. The mmu for agricultural and urban polygons is 10 acres. Vegetation is attributed to the Group and Alliance level of the state and national vegetation hierarchy. In some cases, polygons were attributed only to Group or Macrogroup level when the Alliance could not be determined from photointerpretation. The map classification is based on the key to vegetation types in Buck-Diaz et al. 2012. The Central Valley and Sacramento Valley maps were assessed for Accuracy with an average users’ accuracy of 90.2 percent and users’ accuracy of 89 percent. The San Joaquin Valley portion of the map was field verified by the mappers but was not otherwise assessed for accuracy (see Supplemental Information below for details). More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/2600_2699/ds2632.zip.

Superseded: A more recent version of this product appears here: https://data.cnra.ca.gov/dataset/san-francisco-bay-and-sacramento-san-joaquin-delta-dem-for-modeling-version-4-1 This product will continue to be distributed for archival purposes. # Product The product is a set of mutually consistent 10m and 2m integrated elevation maps (DEM) in standard ascii format.There are few missing data where there is water or at land-water interfaces. However, our map does have gaps at some inland and island sites. We have opted not to fill these because there is an ongoing project at DWR to re-analyze LiDAR returns and improve the terrestrial map. The CSTARS project at UC Davis is doing this as well. This product is developed based on synthesizing LiDAR, single- and multibeam sonar soundings and existing integrated maps collated from multiple sources. The following figure shows the data sources used for different areas. The western part of our Bay-Delta work blends the original Foxgrover map with the 1/3 arc second DEM produced by NOAA. These are close in the region of overlap and edge-matches the NOAA data well, but the NOAA map seems to capture things like bridge footings that the original 10m Foxgrover map of the region smooths. A richer 2m product combining new data and some interpolation is due to be release by USGS in Winter or Spring 2013. Our previews of this map indicate that it is heavily based on the 1/3 arc second NOAA map for points near Carquinez Straits. For more information, please refer to the article: A Continuous Surface Elevation Map Please note that we distribute only our own integrated maps, not the original constituent data.