This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

CDFW BIOS GIS Dataset, Contact: USFWS U.S. Fish and Wildlife Service, Description: These data identify the areas (in general) where critical habitat is designated for the Santa Barbara County Distinct Population Segment of the California Tiger Salamander (Ambystoma californiense). Proposed critical habitat for the species occurs in six units: Santa Rita, Purisima Hills, Eastern Los Alamos, Western Los Alamos/Careaga, Eastern Santa Maria, and Western Santa Maria/Orcutt.

This shapefile contains tax rate area (TRA) boundaries in Santa Barbara County for the specified assessment roll year. Boundary alignment is based on the 2019 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

CDFW BIOS GIS Dataset, Contact: U.S. Fish & Wildlife Service USFWS, Description: These data identify the areas (in general) where final critical habitat for the La Graciosa thistle (Circium loncholepis) occurs. Critical habitat for the species occurs in two units. The Pismo-Orcutt Unit extends from the coastal strand in the Pismo Beach area in southwestern San Luis Obispo County through the Orcutt area in the Santa Maria Valley in northern Santa Barbara County. The Canada de Las Flores Unit lies in Canada de Las Flores, in the Solomon Hills in northern Santa Barbara County.

California State Lands Commission Offshore Oil Leases in the vicinity of Santa Barbara, Ventura, and Orange County.The polygons in this layer show the position of Offshore Oil Leases as documented by former State Lands Senior Boundary Determination Officer, Cris N. Perez and as reviewed and updated by GIS and Boundary staff.Background: This layer represents active offshore oil and gas agreements in California waters, which are what remain of the more than 60 originally issued. These leases were issued prior to the catastrophic 1969 oil spill from Platform A in federal waters off Santa Barbara County, and some predate the formation of the Commission. Between 2010 and 2014, the bulk of the approximately $300 million generated annually for the state's General Fund from oil and gas agreements was from these offshore leases.In 1921, the Legislature created the first tidelands oil and gas leasing program. Between 1921 and 1929, approximately 100 permits and leases were issued and over 850 wells were drilled in Santa Barbara and Ventura Counties. In 1929, the Legislature prohibited any new leases or permits. In 1933, however, the prohibition was partially lifted in response to an alleged theft of tidelands oil in Huntington Beach. It wasn't until 1938, and again in 1955, that the Legislature would allow new offshore oil and gas leasing. Except for limited circumstances, the Legislature has consistently placed limits on the areas that the Commission may offer for lease and in 1994, placed the entirety of California's coast off-limits to new oil and gas leases. Layer Creation Process:In 1997 Cris N. Perez, Senior Boundary Determination Officer of the Southern California Section of the State Lands Division, prepared a report on the Commission’s Offshore Oil Leases to:A. Show the position of Offshore Oil Leases. B. Produce a hard copy of 1927 NAD Coordinates for each lease. C. Discuss any problems evident after plotting the leases.Below are some of the details Cris included in the report:I have plotted the leases that were supplied to me by the Long Beach Office and computed 1927 NAD California Coordinates for each one. Where the Mean High Tide Line (MHTL) was called for and not described in the deed, I have plotted the California State Lands Commission CB Map Coordinates, from the actual field surveys of the Mean High Water Line and referenced them wherever used. Where the MHTL was called for and not described in the deed and no California State Lands Coordinates were available, I digitized the maps entitled, “Map of the Offshore Ownership Boundary of the State of California Drawn pursuant to the Supplemental Decree of the U.S. Supreme Court in the U.S. V. California, 382 U.S. 448 (1966), Scale 1:10000 Sheets 1-161.” The shore line depicted on these maps is the Mean Lower Low Water (MLLW) Line as shown on the Hydrographic or Topographic Sheets for the coastline. If a better fit is needed, a field survey to position this line will need to be done.The coordinates listed in Cris’ report were retrieved through Optical Character Recognition (OCR) and used to produce GIS polygons using Esri ArcGIS software. Coordinates were checked after the OCR process when producing the polygons in ArcMap to ensure accuracy. Original Coordinate systems (NAD 1927 California State Plane Zones 5 and 6) were used initially, with each zone being reprojected to NAD 83 Teale Albers Meters and merged after the review process.While Cris’ expertise and documentation were relied upon to produce this GIS Layer, certain polygons were reviewed further for any potential updates since Cris’ document and for any unusual geometry. Boundary Determination Officers addressed these issues and plotted leases currently listed as active, but not originally in Cris’ report. On December 24, 2014, the SLA boundary offshore of California was fixed (permanently immobilized) by a decree issued by the U.S. Supreme Court United States v. California, 135 S. Ct. 563 (2014). Offshore leases were clipped so as not to exceed the limits of this fixed boundary. Lease Notes:PRC 1482The “lease area” for this lease is based on the Compensatory Royalty Agreement dated 1-21-1955 as found on the CSLC Insider. The document spells out the distinction between “leased lands” and “state lands”. The leased lands are between two private companies and the agreement only makes a claim to the State’s interest as those lands as identified and surveyed per the map Tract 893, Bk 27 Pg 24. The map shows the State’s interest as being confined to the meanders of three sloughs, one of which is severed from the bay (Anaheim) by a Tideland sale. It should be noted that the actual sovereign tide and or submerged lands for this area is all those historic tide and submerged lands minus and valid tide land sales patents. The three parcels identified were also compared to what the Orange County GIS land records system has for their parcels. Shapefiles were downloaded from that site as well as two centerline monuments for 2 roads covered by the Tract 893. It corresponded well, so their GIS linework was held and clipped or extended to make a parcel.MJF Boundary Determination Officer 12/19/16PRC 3455The “lease area” for this lease is based on the Tract No. 2 Agreement, Long Beach Unit, Wilmington Oil Field, CA dated 4/01/1965 and found on the CSLC insider (also recorded March 12, 1965 in Book M 1799, Page 801).Unit Operating Agreement, Long Beach Unit recorded March 12, 1965 in Book M 1799 page 599.“City’s Portion of the Offshore Area” shall mean the undeveloped portion of the Long Beach tidelands as defined in Section 1(f) of Chapter 138, and includes Tract No. 1”“State’s Portion of the Offshore Area” shall mean that portion of the Alamitos Beach Park Lands, as defined in Chapter 138, included within the Unit Area and includes Tract No. 2.”“Alamitos Beach Park Lands” means those tidelands and submerged lands, whether filled or unfilled, described in that certain Judgment After Remittitur in The People of the State of California v. City of Long Beach, Case No. 683824 in the Superior Court of the State of California for the County of Los Angeles, dated May 8, 1962, and entered on May 15, 1962 in Judgment Book 4481, at Page 76, of the Official Records of the above entitled court”*The description for Tract 2 has an EXCEPTING (statement) “therefrom that portion lying Southerly of the Southerly line of the Boundary of Subsidence Area, as shown on Long Beach Harbor Department {LBHD} Drawing No. D-98. This map could not be found in records nor via a PRA request to the LBHD directly. Some maps were located that show the extents of subsidence in this area being approximately 700 feet waterward of the MHTL as determined by SCC 683824. Although the “EXCEPTING” statement appears to exclude most of what would seem like the offshore area (out to 3 nautical miles from the MHTL which is different than the actual CA offshore boundary measured from MLLW) the 1964, ch 138 grant (pg25) seems to reference the lands lying seaward of that MHTL and ”westerly of the easterly boundary of the undeveloped portion of the Long Beach tidelands, the latter of which is the same boundary (NW) of tract 2. This appears to then indicate that the “EXCEPTING” area is not part of the Lands Granted to City of Long Beach and appears to indicate that this portion might be then the “State’s Portion of the Offshore Area” as referenced in the Grant and the Unit Operating Agreement. Section “f” in the CSLC insider document (pg 9) defines the Contract Lands: means Tract No. 2 as described in Exhibit “A” to the Unit Agreement, and as shown on Exhibit “B” to the Unit Agreement, together with all other lands within the State’s Portion of the Offshore Area.Linework has been plotted in accordance with the methods used to produce this layer, with record lines rotated to those as listed in the descriptions. The main boundaries being the MHTL(north/northeast) that appears to be fixed for most of the area (projected to the city boundary on the east/southeast); 3 nautical miles from said MHTL on the south/southwest; and the prolongation of the NWly line of Block 50 of Alamitos Bay Tract.MJF Boundary Determination Officer 12-27-16PRC 4736The “lease area” for this lease is based on the Oil and Gas Lease and Agreement as found on the CSLC insider and recorded August 17, 1973 in BK 10855 PG 432 Official Records, Orange County. The State’s Mineral Interests are confined to Parcels “B-1” and “B-2” and are referred to as “State Mineral Lands” comprising 70.00 Acres. The lessee each has a right to certain uses including but not limited to usage of utility corridors, 110 foot radius parcels surrounding well-sites and roads. The State also has access to those same roads per this agreement/lease. Those uses are allowed in what are termed “State Lands”-Parcel E and “Leased Lands” which are defined as the “South Bolsa Lease Area”-Parcel C (2 parcels) and “North Bolsa Lease Area”-Parcel D. The “State Lands”-Parcel E are actually 3 parcels, 2 of which are within road right-of-ways. MJF Boundary Determination Officer 12-28-16

CDFW BIOS GIS Dataset, Contact: U.S. Fish & Wildlife Service USFWS, Description: These data identify the area (in general) where final critical habitat for the Lompoc yerba santa (Eriodictyon capitatum) occurs. Critical habitat for the species occurs in two areas in western Santa Barbara County California: the Solomon Hills southeast of the City of Santa Maria and in the Santa Ynez Mountains east of Point Conception.

This part of SIM 3281 presents data for the habitat map of the seafloor (see sheet 7, SIM 3281) of the Offshore of Santa Barbara map area, California. The vector data file is included in "Habitat_OffshoreSantaBarbara.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreSantaBarbara/data_catalog_OffshoreSantaBarbara.html. Using multibeam echosounder (MBES) bathymetry and backscatter data, potential marine benthic habitat maps were constructed. The habitats were based on substrate types and documented or "ground truthed" using underwater video images and seafloor samples obtained by the USGS. These maps display various habitat types that range from flat, soft, unconsolidated sediment-covered seafloor to hard, deformed (folded) or highly rugose and differentially eroded bedrock exposures. Rugged, high-relief, rocky outcrops that have been eroded to form ledges and small caves are ideal habitat for rockfish (Sebastes spp.) and other bottom fish such as lingcod (Ophiodon elongatus). Habitat map is presented in a map format generated in a GIS (ArcMap), and both digital and hard-copy versions will be produced.

In late 1996, the Dept of Conservation (DOC) surveyed state and federal agencies about the county boundary coverage they used. As a result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation (USBR) dataset (USGS source) for their Farmland Mapping and Monitoring Program (FMMP) but with several modifications. Detailed documentation of these changes is provided by FMMP and included in the lineage section of the metadata. A dataset named cnty24k97_1 was made available (approximately 2004) through the California Department of Forestry and Fire Protection - Fire and Resource Assessment Program (CDF - FRAP) and the California Spatial Information Library (CaSIL).In late 2006, the Department of Fish and Game (DFG) reviewed cnty24k97_1. Comparisons were made to a high-quality 100K dataset (co100a/county100k from the former Teale Data Center GIS Solutions Group) and legal boundary descriptions from ( http://www.leginfo.ca.gov ). The cnty24k97_1 dataset was missing Anacapa and Santa Barbara islands. DFG added the missing islands using previously-digitized coastline data (coastn27 of State Lands Commission origin), corrected a few county boundaries, built region topology, added additional attributes, and renamed the dataset to county24k.In 2007, the California Mapping Coordinating Committee (CMCC) requested that the California Department of Forestry and Fire Protection (CAL FIRE) resume stewardship of the statewide county boundaries data. CAL FIRE adopted the changes made by DFG and collected additional suggestions for the county data from DFG, DOC, and local government agencies. CAL FIRE incorporated these suggestions into the latest revision, which has been renamed cnty24k09_1. Detailed documentation of changes is included in the Process Step section of the metadata.

This map represents adopted TMDL project areas for the Central Coast region. The owner of this layer is TMDL program staff at the Central Coast Water Board. Layer Attributes:TMDL Project: The unique TMDL project associated with each polygon.Website: Hyperlink to the specific TMDL project website.Project Code: Unique numeric code associated with the project.Date Created:Data created on March 8, 2019 and updated September 14, 2023. Data includes TMDLs, adopted and in development, from September 2000 – September 2023.Source: The source of spatial data representing TMDL project areas varies by TMDL project, but typically includes one or more of the following sources: United States Geologic Survey’s (USGS) Waterbody Boundary Dataset (WBD), CalWater2.2, and special studies conducted by Santa Barbara County Flood Control, Elkhorn Slough National Estuarine Research Reserve, and California State University, Monterey. The source of TMDL project area spatial data is typically referenced in the TMDL report associated with each TMDL project.Points of Contact: For concerns regarding the TMDL specifics:TMDL, Larry Harlan, Larry.Harlan@waterboards.ca.gov or 805-594-6195.TMDL, Shanta Keeling, Shanta.Keeling@waterboards.ca.gov or 805-549-3464.For concerns regarding the map layer:Nirmal Sandhar, Nirmal.Sandhar@waterboards.ca.gov or 916-341-5571Use Constraints:The California Water Resources Control Board provides this data layer at no cost and with no warrantee. This dataset is not a survey document and should not be used for legal determinations. This dataset is subject to change at any time and should only be used for general reference. By using this data, the user acknowledges all limitations of the data and agrees to accept all errors stemming from its use.

This shapefile contains tax rate area (TRA) boundaries in Santa Barbara County for the specified assessment roll year. Boundary alignment is based on the 2019 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

WRA, Inc (WRA) created a fine-scale vegetation map of portions of the Cojo-Jalama Ranches. WRA conducted field reconnaissance assistance for this project, as well as accuracy assessment (AA) field data collection. The primary purpose of the project was to provide a comprehensive overview of habitats, plants, and wildlife to inform planning for land-use, conservation, and ranch-specific activities.The mapping study area, consists of approximately 24,400 acres of the Cojo-Jalama ranches in unicoporated coastal Santa Barbara County, California. Work was performed on the project between 2012 and 2017. Ranch-wide floristic surveying was conducted from April 2012 to October 2014 to address natural communities and sensitive plant and wildlife species. WRA botanists documented vegetation alliances while on-foot. Site-specific surveys were conducted between 2015 and 2017 collected natural community and sensitive species data to be incorporated into WRA’s long-term geodatabase as supplementary data. WRA botanists then further refined vegetation alliance mapping by conducting accuracy assessment where site-specific surveys were conducted; when terrain made sites inaccessible, field botanists used binoculars to observe plant communities from an appropriate vantage point.Field maps generated by WRA used high-quality aerial photographs from 2010 to 2012 overlain with 10-foot contour lines. vegetation polygons were then hand-drawn by field biologists and later digitized using ArcGIS software. Trimble Geo XH GPS units with sub-meter accuracy were used by the biologists to map especially small-scale landscape features and rare plant point-occurrences. The minimum mapping unit (MMU) is variable from 1.0 acres to point depending on the map feature type. There was a total of 50 mapping classes. The overall Fuzzy Accuracy Assessment rating for the final vegetation map was not calculated, but much of the map was field checked.

CDFW BIOS GIS Dataset, Contact: Robert Holland, Description: Vernal pools in five counties along the California central coast (Monterey, San Benito, Santa Barbara, San Luis Obispo, and Ventura counties) were mapped from one-meter resolution digital orthophoto quadrangles from USGS.

Fire Perimeters were compiled from the CalFire FRAP database (https://frap.fire.ca.gov/mapping/gis-data/) and spatially joined with the administrative boundary of the five ecological provinces within the Pacific Southwest Region (Northern, Sierra Cascade, Central Sierra, Southern Sierra, Southern California). To create a feature layer which could be used in a dashboard setting, the fires were also intersected with the entire region. This means that there are multiple fire boundaries in this datasets for each fire (one for each province where the fire burned, and one that represents the region). Version InformationFirep22_1 was released in April 2023. Three hundred five fires from the 2022 fire season were added to the database (1 from BIA, 8 from BLM, 176 from CAL FIRE, 49 from Contract Counties, 14 from LRA, 8 from NPS, 38 from USFS, and 11 from USFW). The 2021 Dotta (part of Beckwourth Complex), Greenhorn, and Hartman fire perimeters were added. Another 45 fires were added by USFW from 2015-2021. The 1988 Hessel fire was added in LNU. The 2019 Cave fire was replaced with a more detailed perimeter submitted by Santa Barbara County. The 2017 Hudson, 2017 Lake, 2017 Jones, 2017 "37", 2019 Tucker, and 2019 Refuge perimeters were replaced with imagery digitized perimeters from USFW. Attributes were updated for 32 records. One hundred ten perimeters were removed due to duplication or being completely contained outside of California state borders. The field IRWINID was added to provide a unique ID; fires before 2022 are lacking this attribution (with the exception of those added in this publication where possible). The following fires were identified as meeting our collection criteria, but are not included in this version and will hopefully be added in the next update: 2022 Cable (CAL FIRE, AEU), 2022 All American (BIA, CRA).If you would like a full briefing on these adjustments, please contact the data steward, Kim Wallin (kimberly.wallin@fire.ca.gov), CAL FIRE FRAP._CAL FIRE (including contract counties), USDA Forest Service Region 5, USDI Bureau of Land Management & National Park Service, and other agencies jointly maintain a comprehensive fire perimeter GIS layer for public and private lands throughout the state. The data covers fires back to 1878. Current criteria for data collection are as follows:CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 damaged/ destroyed residential or commercial structures, and/or caused ≥1 fatality.All cooperating agencies submit perimeters ≥10 acres. _Discrepancies between wildfire perimeter data and CAL FIRE Redbook Large Damaging FiresLarge Damaging fires in California were first defined by the CAL FIRE Redbook, and has changed over time, and differs from the definition initially used to define wildfires required to be submitted for the initial compilation of this digital fire perimeter data. In contrast, the definition of fires whose perimeter should be collected has changed once in the approximately 30 years the data has been in existence. Below are descriptions of changes in data collection criteria used when compiling these two datasets. To facilitate comparison, this metadata includes a summary, by year, of fires in the Redbook, that do not appear in this fire perimeter dataset. It is followed by an enumeration of each “Redbook” fire missing from the spatial data. Wildfire Perimeter criteria~1991: 10 acres timber, 30 acres brush, 300 acres grass, damages or destroys three residence or one commercial structure or does $300,000 worth of damage ~2010: 10 acres timber, 30 acres brush, 300 acres grass, damages or destroys three or more structures (doesn’t include out building, sheds, chicken coops, etc.)Redbook Fire data criteria1979 - Fires of a minimum of 300 acres that burn at least: 30 acres timber or 300 acres brush, or 1500 acres woodland or grass1981 - 1979 criteria plus fires that took ,3000 hours of California Department of Forestry and Fire Protection personnel time to suppress1992 - 1981 criteria plus 1500 acres ag products, or destroys three residence or one commercial structure or does $300,000 damage1993 - 1992 criteria but “three or more structures destroyed” replaces “destroys three residence or one commercial structure” and the 3,000 hours of California Department of Forestry personnel time to suppress is removed2008 - simply 300 acres and larger

This service is a latest depiction of CAL FIRE's 21 Units and 6 Contract Counties.Throughout the state, CAL FIRE has 21 operational units that are designed to address fire suppression over a certain geographic area. Each unit operates within their local jurisdiction and strives to fulfill the department's mission whether it be responding to all-risk emergencies, participating in fire safety education and educating homeowners on how to keep their property fire safe. In addition, CAL FIRE provides funding to six 'Contract Counties' (Kern, Los Angeles, Marin, Orange, Santa Barbara and Ventura) for fire protection services, including wages of suppression crews, lookouts, maintenance of fire fighting facilities, fire prevention assistants, pre-fire management positions, dispatch, special repairs, and administrative services. The Department's budget also provides for infrastructure improvements, and expanded fire fighting needs when fires grow beyond initial attack.Contract Counties are responsible for providing initial response to fires on SRA. When a wildland fire escapes this initial attack, CAL FIRE responds with fire fighting resources to assist the county.This service represents the latest official version of the CAL FIRE Administrative Units dataset, and is updated whenever a new version is released. As of June, 2019 it represents cdfadmin19_1.

This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

The fire perimeter and prescribed fire feature services provide a reasonable view of the spatial distribution of past large fires but is in no way complete. Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Due to missing perimeters this data should be used carefully for statistical analysis and reporting (see Use Limitation in metadata). Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. Please contact the California Department of Forestry and Fire Protection’s Fire and Resource Assessment Program for a detailed explanation of the limitations of the data. This data is updated annually in the spring with fire perimeters from the previous fire season. As of April 2023, it represents fire22_1. CAL FIRE (including contract counties), USDA Forest Service Region 5, USDI Bureau of Land Management & National Park Service, and other agencies jointly maintain a comprehensive fire perimeter GIS layer for public and private lands throughout the state. The data covers fires back to 1878. Current criteria for data collection are as follows: CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 damaged/ destroyed residential or commercial structures, and/or caused ≥1 fatality. All cooperating agencies submit perimeters ≥10 acres. Firep22_1 was released in April 2023. Three hundred five fires from the 2022 fire season were added to the database. The 2021 Dotta (part of Beckwourth Complex), Greenhorn, and Hartman fire perimeters were added. Another 45 fires were added by USFW from 2015-2021. The 1988 Hessel fire was added in LNU. The 2019 Cave fire was replaced with a more detailed perimeter submitted by Santa Barbara County. The 2017 Hudson, 2017 Lake, 2017 Jones, 2017 "37", 2019 Tucker, and 2019 Refuge perimeters were replaced with imagery digitized perimeters from USFW. Attributes were updated for 32 records. One hundred ten perimeters were removed due to duplication or being completely contained outside of California state borders. The field IRWINID was added to provide a unique ID; fires before 2022 are lacking this attribution (with the exception of those added in this publication where possible). The following fires were identified as meeting our collection criteria, but are not included in this version and will hopefully be added in the next update: 2022 Cable (CAL FIRE, AEU), 2022 All American (BIA, CRA). Includes separate layers filtered by criteria as follows:California Fire Perimeters (all): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale. Recent Large Fire Perimeters (>=5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2018-2022), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-present. Symbolized by decade, and display starting at country level scale.Prescribed Burns: Unfiltered. The entire collection of prescribed burn perimeters in the database. Begin displaying at county level scale. Detailed metadata is included in the following documents:"fire22_1" Metadata: Metadata for Firep22_1"rxburn22_1" Metadata: Metadata for Prescribed Fires Rxburn22_1For any questions, please contact the data steward:Kim Wallin, GIS SpecialistCAL FIRE, Fire Resource and Assessment Program (FRAP)kimberly.wallin@fire.ca.gov