Jones & StokesNovemb06land_cover_updateFirstvector digital datawithheldland_cover_update_20120305_CurrentMay 14, 2013These data were downloaded by Greg Bazhaw from ICF Website. According to Terah Donovan, these data are a repost of the same data updated and redistributed on March 8, 2013.=========================================================================Land Cover in the Santa Clara Valley HCP/NCCP study area. There is a domain in the geodatabase to map from the numerical code to a land cover type. Exported data will often show the domain number, not the actual land cover type. **The domain values are NOT the same as the Land Cover Code** 10/15/2008 - Field Land_Cover_Name added. This field contains the full land cover type for each polygon. You can use this field instead of veg_type for any analysis/symbology for the land cover.The lookup table for the veg_types table was joined to the dataset. This field was then calculated with the text values of the land cover type.Updated 3/5/2012 - Data was updated with new serpentine grassland and land cover mapping from the Young Ranch project. Land-Cover Mapping
One of the primary data sources for this Plan is a detailed GIS-based map of land-cover types within the study area. A land-cover type is defined as the dominant character of the land surface discernible from aerial photographs, as determined by vegetation, water, or human uses. Land-cover types are the most widely used units in analyzing ecosystem function, habitat diversity, covered natural communities, wetlands and streams, and covered species habitat. Data sources, mapping standards, and the classification and interpretation of land-cover types are discussed below.
Section 3.3.2 of the HCP/NCCP Admin Draft:
3.1.1 Methods
Data Collection
Sources used to map and describe the physical setting of the study area are listed below.
n U.S. Geological Survey (USGS) data on topography and hydrology.
n Geologic maps of the area (California Department of Conservation 1990, U.S. Geological Survey 1994).
n Geologic map, Santa Clara County, California. California Division of Mines and Geology, scale 1:62,500 (Brabb and Dibblee 1974).
n Preliminary map of Santa Clara Valley serpentines (unpublished), scale 1:50,000 (Dibblee 1972, 1973, 1977).
n Preliminary geologic map of the Mt. Madonna quadrangle, Santa Clara and Santa Cruz Counties, California. U.S. Geological Survey Open-File Report [OF-73-59], scale 1:24,000 (Dibblee 1973).
n Soil survey information (U.S. Soil Conservation Service 1977).
n Other published information (Hickman 1993, Alt and Hyndman 2000, Santa Clara Valley Water District 2006).
n Springs and rainfall data from USGS (Casil 1997).
n Watershed data from California Interagency Watershed Map, 1999.
Topography, hydrology, and soil data were downloaded from agency websites and imported into ArcInfo, where files were clipped and converted into the projection for the study area.
Land-Cover Mapping
One of the primary data sources for this Plan is a detailed GIS-based map of land-cover types within the study area. A land-cover type is defined as the dominant character of the land surface discernible from aerial photographs, as determined by vegetation, water, or human uses. Land-cover types are the most widely used units in analyzing ecosystem function, habitat diversity, covered natural communities, wetlands and streams, and covered species habitat. Data sources, mapping standards, and the classification and interpretation of land-cover types are discussed below.
Data Sources
The following are the primary sources of information for the land-cover mapping in the study area.
n True-color aerial photographs (resolution of 2 feet ) flown in December 2003 (acquired from AirPhoto USA).
n True-color aerial photographs for non-urban portion of the study area (resolution of 9 inches) flown in March 2001(provided by Santa Clara Water District).
n Serpentine soils and serpentine geology digitized from the map sources listed above.
The ancillary data sources listed below were used to obtain information not available in the primary sources and to check the mapped information for accuracy.
n True-color aerial photographs (resolution 1.5 foot) flown in December 2005 (acquired from AirPhoto USA) .
n National Wetlands Inventory Maps (scale 1:65,000) from the U.S. Fish and Wildlife Service for a portion of the study area based on color-infrared photographs taken in 1982-1987.
n Streams (USGS digital line graph data-various dates).
n Local roads (Santa Clara County data set).
n Coyote Valley Specific Plan vegetation data (City of San Jos 2004).
n Soil survey mapping (U.S. Soil Conservation Service 1977).
n Historical locations of valley oak, GIS layer digitized from the 1:62,500 Wieslander Vegetation Type Map, a dataset of photos, species inventories, and plot maps compiled in the 1920s and 1930s (California Department of Forestry and Fire Protection year?).
n Vegetation maps of open space preserves adjacent to the western portion of the study area (Midpeninsula Regional Open Space District 2006).
n Vegetation map of the Coyote Creek Parkway County Park (Santa Clara County Parks and Recreation Department 2004).
n Land-cover map for the San Francisco Public Utilities Commission's Alameda Watershed lands in Santa Clara and Alameda Counties, adjacent to the northern edge of the study area (Jones & Stokes 2005).
n Historical tideline data from Coyote Creek Historic Ecology Report (Grosslinger et al, 2006).
In addition to using existing data sets, Jones & Stokes biologists conducted extensive field visits in the study area. An initial field visit was conducted on December 15, 2005 to develop the land-cover classification and to perform preliminary verification of aerial photograph signatures. Other field visits were conducted on April 20-21, May 3-5, May 11-12, and May 24-25, 2006 to verify land-cover types and consistency of mapping, and to collect additional data for land-cover type descriptions. Initial mapping was verified by visual inspection from locations accessible by public roads and roads on state-owned and private lands for which access permission had been obtained. Areas were selected for field verification on the basis of the land-cover types present and accessibility.
Access was difficult in many parts of the study area due to extensive private lands and few public roads. Access in the western portion of the study area was sufficient to verify the different vegetation types that occurred there. Access in the central eastern portion of the study area was more limited, but also allowed most vegetation types to be visited. Access to the extreme northeast, east, and area south of SR 152 in the eastern portion of the study area was not possible. Once field visits were conducted, land-cover mapping was revised on the basis of field findings.
Land-Cover Type Classification
A classification system for land-cover types (Tables 3-1 and 3-3) was developed for the study area based primarily on the widely used classification system of the CDFG (California Department of Fish and Game 2003), which in turn is based on the vegetation classification system developed for the Manual of California Vegetation (Sawyer and Keeler-Wolf 1995). Additional input was obtained from the sources listed below.
n Holland (1986) and Mayer and Laudenslayer (1988, 1999).
n Current regional and local mapping projects such as Coyote Ridge (California Native Plant Society 2003), Sierra Azul Open Space Preserve (Midpeninsula Regional Open Space District 2006), and the land-cover map for the San Francisco Public Utilities Commission's Alameda Watershed lands in Santa Clara and Alameda Counties, adjacent to the study area (Jones & Stokes 2005).
n Field visits by Jones & Stokes senior biologists.
The proposed system has been adapted to incorporate classification systems used by the Local Partners with input from vegetation and wildlife specialists familiar with the study area. The land-cover classification was developed with the criteria listed below.
n Each land-cover type must be distinguishable on the digital aerial photography based on a unique and consistent signature, or with the use of ancillary data such as soil types or geologic substrate.
n Each land-cover type should be useful to the Plan in terms of defining the location and extent of an important vegetation type, habitat for covered species, or a distinct type of development.
n The land-cover type classification should be compatible with existing local, regional, and national land-cover classification schemes when possible.
A list of land-cover types is given in Table 3-1. An accuracy assessment for urban and agricultural land-cover types is provided in Table 3-2. A comparison ("cross-walk") between land-cover types and common vegetation classification systems is presented in Table 3-3.
Mapping Procedures
ArcGIS 9.0 software was used to create a GIS dataset of land-cover types. The land-cover classification also defined the minimum mapping unit that was used for each land-cover type. Minimum mapping units are the smallest area mapped for each type. Minimum mapping units range from 0.25 acre for wetland and riparian land-cover types to 10 acres for most other land-cover types. This range of minimum mapping units is sufficient for regional conservation planning and balances the need for high resolution (lower minimum mapping unit) with schedule and budget limitations (higher minimum mapping unit). Minimum mapping units are also limited by the resolution of the imagery and the distinctiveness of the land-cover signature relative to adjacent land cover.
A 10-acre minimum mapping unit was used for all land-cover types, except for the land-cover types noted below.
n Serpentine bunchgrass grassland and mixed serpentine chaparral, which were mapped at a 1-acre minimum mapping unit.
n All riparian, wetland, and aquatic types, which were mapped at a 0.25-acre minimum mapping unit.
n Serpentine seeps and rock outcrops, which had no minimum mapping unit.
The mapping process involved digitizing polygons on screen (a process known as "head-up digitizing") from the primary aerial photographs described above, followed by field verification and a formal accuracy assessment.
Polygons were digitized for areas with distinct image signatures (Table 3-4) that met minimum mapping unit requirements. Digitizing was completed on-screen by botanists familiar with the study area, and well trained and experienced with this mapping procedure from other HCPs and NCCPs in northern California. Digitizing was conducted while viewing the aerial imagery at mapping scales of 1:4,800 to 1:6,000. The botanists were provided with grids of 0.25 acre and 10 acres to assist in maintaining the minimum mapping units during digitization. Once digitized, polygons were assigned to land-cover types on the basis of the criteria in the land-cover type definitions (Table 3-4).
During the mapping process, polygons with uncertain land-cover types were flagged for future field verification. Once the mapping was complete, the botanists verified these ambiguous polygons in the field where access was available.
Serpentine bunchgrass grassland and serpentine chaparral were mapped based on the intersection of annual grassland and chaparral, respectively, with the serpentine soils layer, and verified in the field where possible. Boundaries of aquatic features (ponds, reservoirs) were digitized based on the March 2001 photograph when water levels were higher than in the December 2003 image. Recent urban and agricultural development was updated based on the December 2005 aerial photography.
Ancillary information was used to supplement the land-cover information acquired by aerial photograph interpretation. National Wetlands Inventory maps were used to check the wetlands mapping, especially for isolated ponds. USGS data (2001) were used to complete the stream coverage for most of the area. Mapped signatures for specific land-cover types were also compared with vegetation maps of the Sierra Azul Open Space Preserve (Midpeninsula Regional Open Space District 2006) to verify the accuracy of the current mapping effort.
Accuracy Assessment
A field accuracy assessment was performed to quantify the reliability of the mapping of urban and agricultural land-cover type. (A formal accuracy could not be conducted for all land-cover types due to the inaccessibility of large areas of the study area.) For land-cover types with fewer than 30 polygons, all accessible polygons were field verified. For land-cover types with more than 30 polygons, a random sample of 30-40 polygons was selected and verified if accessible. A total of 306 polygons were field verified during this accuracy assessment. A polygon was classified in one of three ways. The first classification was "no change", meaning the polygon was mapped correctly. The second classification was "error", indicating a misinterpretation from the aerial imagery. The third classification was "change," indicating a land use change that occurred after the aerial photographs were taken. The resulting map accuracy was 73% when calculated by number of polygons. The map accuracy was 89% when calculated by polygon area (31,258 acres were checked) .
Table 3-2a indicates the accuracy of the land-cover mapping by polygon. Table 3-2b indicates mapping accuracy by acreage of land-cover type.
Entitlement Parcels were included as being developed in this land cover layer, as the projects on them were planned and approved before the start date of the HCP. Actual level of development might vary by parcel. Updated on July 28, 2008.
Fields:
veg_type "Land Cover": This field lists the land cover type of each polygon. There is a domain associated with this field. Not all values in the domain were mapped.
Comment: Comments about the polygon
natural_comm "Natural Communities": Natural Community Classification of the land cover type. There are nine different values in all.
natural_comm_code "Natural Community Code": A code field for the natural communities. Each value represents a natural community.
land_cover_code: A classification scheme based on the predominant table format for listing the land covers. The first number is the natural community code, while the second represents the order that the land cover types are listed in the tables. Also used for the tables in impact analysis.
Domain Value; Land Cover; Land Cover Code
01 California Annual Grassland 10
02 Northern Mixed Chaparral / Chamise Chaparral 20
03 Northern Coastal Scrub / Diablan Sage ScrUB 22
04 Mixed Serpentine Chaparral 21
05 Canyon Live Oak Forest & Woodland X
06 Mixed Oak Woodland and Forest 31
07 Mixed Evergreen Forest 35
08 Blue Oak-Foothill Pine / Grass X
09 Blue Oak Woodland 32
10 Foothill Pine - Oak Woodland 34
11 Valley Oak Woodland 30
12 Redwood Forest 50
13 Ponderosa Pine Woodland 51
14 Cottonwood Riparian X
15 Willow Riparian Forest and Scrub 40
16 Mixed Riparian Forest and Woodland 42
17 White Alder Forests and Woodland X
18 Coast Live Oak Forest and Woodland 33
19 Exotic Riparian Woodland X
20 Himalayan Blackberry Scrub X
21 Giant Reed (Arundo) X
22 Meadow and Seeps - Baltic Rush Riparian Grassland X
23 Coastal and Valley Freshwater Marsh 60
24 Coastal Brackish Marsh X
25 Natural Lake X
26 Pond 65
27 Reservoir 66
28 Riverine X
29 Canal / Ditch X
30 Coyote Brush Scrub 23
31 Orchard 70
32 Vineyard 71
33 "Grain, Row-crop, Hay & Pasture, Disked/short-term fallow" 72
34 Eucalyptus X
35 Ornamental Woodland 83
36 Agriculture developed / Covered Ag 85
37 Seasonal Wetland 61
38 Vernal Pool Complex X
39 Serpentine Seep 62
40 Serpentine Bunchgrass Grassland 15
41 Serpentine Rock Outcrop / Barrens 16
42 Rock Outcrop 17
43 Urban - Suburban 80
44 Rural - Residential 81
45 Barren 86
46 Landfill 84
47 Golf Courses / Urban Parks 82
48 Ruderal X
49 Purple Needlegrass Grassland (not mapped) X
50 Knobcone Pine Forest 52
51 Central California Sycamore Alluvial Woodland 41
Natural Communites
1. Grasslands
2. Chaoarral & Northern Coastal Scrub
3. Oak Woodland
4. Riparian Forest and Scrub
5. Conifer Woodland
6. Wetland
7. Open Water (Aquatic)
8. Irrigated Agriculture
9. Developed
enNovemb06publication dateNone planned-122.038760-121.20682837.49040936.8883986115200.8738796354963.5011741785480.5413452001820.374379ESRI Geography Network ThesaurusNoneNoneThis data may not be redistributed without the consent of the participating partners in the Santa Clara Valley Habitat Conservation Plan/Natural Community Conservation Plan. The partners are: Santa Clara County, the Cities of San Jose, Morgan Hill, and Gilroy, Santa Clara Valley Water District, and the Santa Clara Valley Transportation Authority.This dataset was created/compiled by ICF Jones & Stokes for useage for the Santa Clara Valley HCP/NCCP only. Every reasonable effort has been made to ensure the accuracy of the provided data. Neither ICF Jones & Stokes and the Santa Clara Valley HCP/NCCP partners assume any liability arising from the usage of this data. THE DATA IS PROVIDED AS IS WITHOUT ANY KIND OF WARRANTY, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. This data should be used for planning purposes only.Jones & Stokesmailing
268 Grand Ave
OaklandCA94610USA510-433-8962dzippin@jsanet.com8:00 AM to 5:00 PM
Best Contacts:
Margaret Widdowson
Steve Citron-Pousty
Daniel Schiff
ICF Jones & Stokes, 2008ESRI ArcCatalog 9.3.1.4000Personal GeoDatabase Feature ClassESRI feature type: Simple, Geometry: Polygon, Topology: Data set has been visually inspected. All data produced strives to meet National Mapping Accuracy Standards (NMAS).Metadata imported.withheldMetadata imported.withheld2009070809153400VectorSimpleFALSE7950TRUEFALSEcoordinate pair0.0002560.000256survey feetNorth American Datum of 1983Geodetic Reference System 806378137.000000298.257222GCS_North_American_1983NAD_1983_StatePlane_California_III_FIPS_0403_Feet0.000010Explicit elevation coordinate included with horizontal coordinatesLandCoverFeature Class7950OBJECTIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.OBJECTIDOID400SHAPEFeature geometry.ESRICoordinates defining the features.land_cover_codeSmallInteger200SHAPE_LengthNatural community that the land cover belongs inESRIPositive real numbers that are automatically generated.land_cover_nameString9000land_cover_codeCode used for landcover in Figure 3-10ESRIPositive real numbers that are automatically generated.Natural CommuntiesString5000Shape_LengthCode for ordering the natural communities in analysis tablesESRIPositive real numbers that are automatically generated.veg_typeSmallInteger200SHAPE_AreaGIS acresESRIPositive real numbers that are automatically generated.SHAPEGeometry000natural_commSHAPE_AreaDouble800ESRIPositive real numbers that are automatically generated.Feature geometry.DocumentationArea_AcresDouble800ShapeCode used for ordering land cover in analysis results tablesESRICoordinates defining the features.Natural Community CodeSmallInteger200Shape_AreaArea of feature in internal units squared.ESRIPositive real numbers that are automatically generated.SHAPE_LengthDouble800natural_comm_codeThe land cover type of the polgyonESRIPositive real numbers that are automatically generated.DocumentationString15000mailing
268 Grand Ave
OaklandCA94610USA510-433-8962dzippin@jsanet.com8:00 AM to 5:00 PMDownloadable DataThis dataset was created/compiled by ICF Jones & Stokes for useage for the Santa Clara Valley HCP/NCCP only. Every reasonable effort has been made to ensure the accuracy of the provided data. Neither Jones & Stokes and the Santa Clara Valley HCP/NCCP partners assume any liability arising from the usage of this data. THE DATA IS PROVIDED AS IS WITHOUT ANY KIND OF WARRANTY, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. This data should be used for planning purposes only.ESRI data format, dependent upon requestTo be determined at time of order20120920Daniel SchiffJones & Stokesmailing
268 Grand Ave
OaklandCA94610USA510-433-8962dzippin@jsanet.com8:00 AM to 5:00 PMFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profilehttp://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profileen2014122414184700FALSE20210414161250002021041416125000LandCover0026115200.8740266354963.5011271785480.5412332001820.3743011ProjectedGCS_North_American_1983Linear Unit: Foot_US (0.304801)NAD_1983_StatePlane_California_III_FIPS_0403_Feet<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/10.8'><WKT>PROJCS["NAD_1983_StatePlane_California_III_FIPS_0403_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-120.5],PARAMETER["Standard_Parallel_1",37.06666666666667],PARAMETER["Standard_Parallel_2",38.43333333333333],PARAMETER["Latitude_Of_Origin",36.5],UNIT["Foot_US",0.3048006096012192]],VERTCS["North_American_Vertical_Datum_1988",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Meter",1.0]]</WKT><XOrigin>-115860600</XOrigin><YOrigin>-93269500</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102643</WKID><LatestWKID>2227</LatestWKID></ProjectedCoordinateSystem>1.0FGDC CSDGM MetadataFGDC1500000005000 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362HCP Land Cover6115200.8738796354963.5011742001820.3743791785480.5413451-122.03876-121.20682837.49040936.8883981<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>November 14, 2014 by Greg Bazhaw</SPAN></P><P><SPAN>After several IC Subcommittee meetings discussing GIS Layers and Geobrowser issues over the course of September 12, 13 and October 14, 22, 2014, reverted the value back in the field "land_cover_name" as follows:</SPAN></P><P><SPAN>Serpenting Rock Outcrop reverted back to Serpentine Rock Outcrop / Barrens</SPAN></P><P><SPAN>At these meetings were Greg Bazhaw, Kim Rook, Rob Eastwood (County Planning), Kathryn Gaffney, Dan Schiff (ICF), Don Arnold, Janell Hillman (SCVWD) and John Falkowski (County Parks).</SPAN></P><P><SPAN>=========================================================</SPAN></P><P><SPAN>September 6, 2013 by Greg Bazhaw</SPAN></P><P><SPAN>Several inconsistencies for some of the values in the field "land_cover_name" were updated to reflect the actual language in Table 3-1 of The Plan. These values are:</SPAN></P><P STYLE="text-indent:20;margin:1 1 1 20;"><SPAN>Original Data Value </SPAN><SPAN>Updated values</SPAN></P><P><SPAN>Serpentine Rock Outcrop/Barrens Serpentine Rock Outcrop</SPAN></P><P><SPAN>Knobcone Pine Forest Knobcone Pine Woodland</SPAN></P><P><SPAN>Agriculture Developed / Covered Ag Agriculture Developed</SPAN></P><P><SPAN>Grain, Row-crop, hay & pasture, disked/ short-te Grain, Row-Crop, Hay and Pasture, Disked / Short-Term Fallowed</SPAN></P><P><SPAN /></P><P><SPAN>Also, a new field was added called "Documentation" and popoulated with the path to source documentation relating to the layer</SPAN></P><P><SPAN>=========================================================</SPAN></P><P><SPAN>May 14, 2013 by Greg Bazhaw</SPAN></P><P><SPAN>These data are a copy of the original ICF land cover data (land_cover_scvhcp, renamed to land_cover) downloaded on this day (updated and redistributed on March 8, 2013). The data were processed in the following manner:</SPAN></P><P><SPAN>1. Topology was created and two rules applied: (a) features must not overlap, and (b) features must not have gaps. After validation, no errors were found.</SPAN></P><P><SPAN>2. For each veg_type code, applied the tool Explode Multipart Feature from the Advanced Editing Toolbox. Compared the results to Table 3-7, which were very different, both in numbers of polygons and Acres for each Vegetation Type. </SPAN></P><P><SPAN>3. Added a field called Area_Acres and calculaged geometry in acres.</SPAN></P><P><SPAN>4. Revalidated topology and found no errors.</SPAN></P><P><SPAN>======================================================</SPAN></P><P><SPAN>May 14, 2013 by Greg Bazhaw</SPAN></P><P><SPAN>These data were downloaded by Greg Bazhaw from ICF Website. According to Terah Donovan, these data are a repost of the same data updated and redistributed on March 8, 2013.</SPAN></P><P><SPAN>=========================================================================</SPAN></P><P><SPAN>Land Cover in the Santa Clara Valley HCP/NCCP study area. There is a domain in the geodatabase to map from the numerical code to a land cover type. Exported data will often show the domain number, not the actual land cover type. **The domain values are NOT the same as the Land Cover Code** 10/15/2008 - Field Land_Cover_Name added. This field contains the full land cover type for each polygon. You can use this field instead of veg_type for any analysis/symbology for the land cover.The lookup table for the veg_types table was joined to the dataset. This field was then calculated with the text values of the land cover type.</SPAN></P><P><SPAN>Updated 3/5/2012 - Data was updated with new serpentine grassland and land cover mapping from the Young Ranch project. </SPAN></P></DIV></DIV></DIV>1-122.038760-121.20682837.49040936.888398Kathryn GaffneyICF Internationalkathryn.gaffney@icfi.com620 Folsom Street (2nd Floor)San FranciscoCalifornia94107United States415-677-7100ISO 19115 Geographic Information - MetadataDIS_ESRI1.0dataset002withheldLocal Area NetworkESRI data format, dependent upon request9.3268 Grand AveOaklandCA94610dzippin@jsanet.com510-433-8962File Geodatabase Feature ClassNAD_1983_StatePlane_California_III_FIPS_0403_FeetEPSG5.3(9.0.0)795020210414268 Grand AveOaklandCA94610dzippin@jsanet.com510-433-8962
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