Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

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, stairways, and winter trails.

CDFW BIOS GIS Dataset, Contact: Matt Merrifield, Description: The Nature Conservancy (TNC) contracted Aerial Information Systems, Inc (AIS) to develop a vegetation map covering approximately 23,800 acres (~37 square miles) of the Garcia River Watershed east of Point Arena. The mapping area is split by the north coast and outer north coast range floristic provinces as defined by The Jepson Manual - Higher Plants of California, Hickman.

These data were automated to provide an accurate high-resolution historical shoreline of Mendocino Bay, CA suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribu...

CDFW conducts risk assessments and implements management actions for the commercial and recreational Dungeness crab fisheries at the fishing zone level. Latitudinal boundaries for each fishing zone are as follows. All fishing zones extend to 200 nautical miles offshore. Zone 1: From the California/Oregon border (42° N. latitude) to Cape Mendocino (40°10 N. latitude) Zone 2: From Cape Mendocino to the Sonoma/Mendocino county line (38°46.125 N. latitude) Zone 3: From Sonoma/Mendocino county line to Pigeon Point (37°11 N. latitude) Zone 4: From Pigeon Point to Lopez Point (36°N. latitude) Zone 5: From Lopez Point to Point Conception (34°27 N. latitude) Zone 6: From Point Conception to the U.S./Mexico Border Zone 7: “Pacific Leatherback Sea Turtle Foraging Area” from Point Arena (38°57.5 N. latitude) to Point Pinos (36°38.314 N. latitude)Attributes: Fishing Zone: Zone Number. Description: Latitudinal boundaries of each fishing zone.

This data represents a land use survey of the southern and western portions of Mendocino County. The northern boundary of the survey area coincides with the northern boundaries of the following three Detailed Analysis Units(DAUs): Big-Noyo-Ten Mile, Forsythe and Coyote-Russian River. DAUs are the smallest study area, within a Hydrologic Region, for the analysis of water supply and use (California Water Plan Update 2013). The survey was conducted by the California Department of Water Resources, North Central Region Office staff. Land use field boundaries were digitized with ArcGIS 9.3 using 2009 U.S.D.A National Agriculture Imagery Program (NAIP) one-meter imagery as the base. Agricultural fields were delineated by following actual field boundaries instead of using the centerlines of roads to represent the field borders. Field boundaries were reviewed using 2010 NAIP and Landsat 5 imagery. Field boundaries were not drawn to represent legal parcel (ownership) boundaries, and are not meant to be used as parcel boundaries. The field work for this survey was conducted between the end of July and the beginning of October 2010. Images, land use boundaries and ESRI ArcMap software were loaded onto laptop computers that were used as the field data collection tools. Staff took these laptops into the field and virtually all agricultural fields were visited to identify the land use. Global positioning system (GPS) units connected to the laptops were used to confirm the surveyor's location with respect to the fields. Land use codes were digitized in the field using a customized data entry program developed by DWR to work with ArcMap software. ArcGIS geoprocessing tools and topology rules were used to locate errors for quality control. The primary focus of this land use survey is mapping agricultural fields. Urban residences and other urban areas were delineated using aerial photo interpretation of 2009 and 2010 NAIP imagery. Some urban areas may have been missed, especially in forested areas. Rural residential land use was delineated by drawing polygons to surround houses and other buildings along with some of the surrounding land. These footprint areas do not represent the entire footprint of urban land. Sources of irrigation water were identified for general areas and occasionally supplemented by information obtained from landowners. Water source information was not collected for each field in the survey, so the water source listed for a specific agricultural field may not be accurate. Before final processing, standard quality control procedures were performed jointly by staff at DWR’s North Central Region, and at DSIWM headquarters under the leadership of Jean Woods. Senior Land and Water Use Supervisor. After quality control procedures were completed, the data was finalized. The positional accuracy of the digital line work, which is based upon the orthorectified NAIP imagery, is approximately 6 meters. The land use attribute accuracy for agricultural fields is high, because almost every delineated field was visited by a surveyor. The accuracy is 95 percent because some errors may have occurred. Possible sources of attribute errors are: a) Human error in the identification of crop types, b) Data entry errors.

A high resolution LiDAR derived hillshade facilitates the visualization of the topography of a landscape at a variety of scales. This hillshade which was created from a LiDAR derived hydro-flattened bare earth digital elevation model shows the signal returns without any vegetation or human-made structures. In addition to that, bodies of water have been smoothed. This layer may be used on its own or in conjunction with other data.The Sonoma County Vegetation Mapping and LiDAR Program. and the University of Maryland (under grant NNX13AP69G from NASA’s Carbon Monitoring System, Dr. Ralph Dubayah, PI) contracted LiDAR and orthophoto data collection for all of Sonoma County in late 2013. Also included in the data collection were two areas in Mendocino County - the Soda Spring Creek-Dry Creek Watershed and Lake Mendocino. This fine scale data will help provide an accurate, up-to-date inventory of the county’s landscape features, ecological communities and habitats. Project funders include: NASA, the University of Maryland, the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.The hillshade is a greyscale image showing topography in the landscape. In this case it is created from a LiDAR derived hydro-flattened bare earth digital elevation model illuminated by hypothetical light source shining from the north west. A hydro flattened bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. In addition bodies of waters 2acres or larger have been smoothed.The DEM used to create this hillshade is described as a bare earth digital elevation model (DEM) representing the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using triangulated irregular network (TIN) processing of the ground point returns. Each image corresponds to a 37,800-square-foot tile. Each pixel is 3 feet and represents an average elevation for that area.

This shapefile contains polygons representing areas that had a change to the tax rate area number or boundary according to Statement of Boundary Changes filed with the California State Board of Equalization, per Government Code 54900. The change number refers to the Statement of Boundary Change documents on file with the California State Board of Equalization-Tax Area Services Section. CHG_NO = Board of Equalization (BOE) file number