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The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of the Department’s mitigation lands in the northern portion of the Carrizo Plain, San Luis Obispo County, California. The mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the project report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92969. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing using the July 2011 1-foot imagery acquired for San Luis Obispo County and downloaded from US Geological Survey (USGS) EarthExplorer as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010–2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is ½ acre in order to capture small, remnant native stands of trees, shrubs, and bunch grasses. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Field verification data was collected in the spring of 2014 and corrections were made to the map based on that data to increase the final accuracy.

,This dataset was updated April, 2024.,This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.,Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.,The current process for compiling the data sources includes:,* Clipping input datasets to the California boundary,* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc),* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.,* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.,* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs),* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD,* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.,In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset.,,Data Sources:,* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf,* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore,* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases,* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov,* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html,,Data Gaps & Changes:,Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.,24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.,23_1: A few discrepancies were discovered between data changes that occurred in CPAD when

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The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) has created a fine-scale vegetation map of the Department''s mitigation lands in the northern portion of the Carrizo Plain, San Luis Obispo County, California. The mapping follows Survey of California Vegetation, Federal Geographic Data Committee (FGDC), and National Vegetation Classification (NVC) standards (FGDC 2008, Jennings et al. 2009). The map legend is based on the classification in Stout et al. (2013), with slight modifications as discussed in Appendix C of the project report, which is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=92969. Reconnaissance-level sampling of vegetation stands in the project area was conducted in the spring of 2013. Polygons were drawn using heads-up digitizing using the July 2011 1-foot imagery acquired for San Luis Obispo County and downloaded from US Geological Survey (USGS) EarthExplorer as the map base. Supplemental imagery included National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data from 2010''2012, Bing imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is ½ acre in order to capture small, remnant native stands of trees, shrubs, and bunch grasses. Mapping is to the NVC hierarchy Association, Alliance, or Group level based on the ability of the photointerpreters to distinguish types based on all imagery available and on the field data. Field verification data was collected in the spring of 2014 and corrections were made to the map based on that data to increase the final accuracy.

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Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.,

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.,

Established in 1982, Government Code Section 65570 mandates FMMP to biennially report on the conversion of farmland and grazing land, and to provide maps and data to local government and the public.,