This dataset depicts the locations of fire hydrants within Mono County, CA excluding the Town of Mammoth Lakes fire hydrants which are managed by the Mammoth Community Water District and the Mammoth Lakes Fire Department.

This dataset depicts the locations of utility poles within Mono County, CA.

Geospatial data about Mono County, California Parcels. Export to CAD, GIS, PDF, CSV and access via API.

This dataset depicts Right of Ways for private developments in the Town of Mammoth Lakes, CA

Geospatial data about Mono County, California Roads. Export to CAD, GIS, PDF, CSV and access via API.

The Township Range Section dataset depicts the Public Land Survey System (PLSS) clipped to Mono County. The PLSS is regulated by the U.S. Department of the Interior, Bureau of Land Management (BLM). It is the surveying method used in the United States to divide property for sale and settling.

This shapefile contains tax rate area (TRA) boundaries in Mono County for the specified assessment roll year. Boundary alignment is based on the 2015 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

This dataset depicts zoning blocks defined by the Town of Mammoth Lakes, CA.

This dataset depicts road survey monouments within Mono County, CA.

This service combines the highest resolution imagery captures owned by Mono County into one basemap. It can be used as a standalone basemap, but as such, contains incomplete regions where no high-resolution images have been captured. These areas will appear blank. If used as an overlay, this layer can be placed over existing imagery to complement web maps by showing the higher resolution imagery overlay when available. Hosted on Mono County I.T. hardware and referenced for ArcGIS Online.Captures dates:2022 - September- Town of Mammoth Lakes, Lakes Basin, and Mammoth AirportBridgeport, date unknown2019 - Topaz Lake2019 - Paradise2019 - Walker2019- ColevilleContact: gis@mono.ca.gov

Data Source: The data was downloaded from the Mono County, CA Open Geodata portal. Data was enriched with Fire Hazard Zone, Flood Risk Zone, Fault Zones, Landslide Risk, Liquifaction Zones, Drought Conditions, and the potential for Renewable Energy (Solar Radiation and Wind Speed) layers, in addition to the layers provided by the county. The table schema is detailed below.

The California Department of Fish and Wildlife (CDFW) Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation map of Slinkard Valley and Little Antelope Valley Wildlife Areas in Mono County, California. The vegetation classification was derived from data collected in the field during the periods August 28-31, 2017, September 10-14, 2018, and November 5-9, 2018. Vegetation polygons were drawn using heads-up “manual” digitizing using the 2016 National Agricultural Imagery Program (NAIP) true color and color infrared (CIR) 1-meter resolution data as the base imagery. Supplemental imagery included NAIP true color and CIR 1-meter resolution data from 2009-2012, BING imagery, and current and historical imagery from Google Earth. The minimum mapping unit (MMU) is 1 acre, with the exception of wetland and riparian types, which have an MMU of ½ acre. Mapping is to the National Vegetation Classification System (NVCS) 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 accuracy assessment surveys were collected by CDFW regional and VegCAMP staff in the fall of 2019. It was determined that the map had an overall accuracy of 89.3% before suggested adjustments were made to typing and line-work in response to the accuracy assessment. As part of the mapping process for this project we also implemented a drone component. The purpose was to test the use of drone photos to enhance and extend reconnaissance efforts for mapping, help with determining signatures on coarser imagery, use images taken above surveys as a check on cover estimates, and test whether drone imagery would allow for mapping herbaceous vegetation at a finer scale.Citations:Boul, R., Keeler-Wolf, T., J. Ratchford, T. Haynes, D. Hickson, J. Evens and R. Yacoub. Classification of the Vegetation of Modoc and Lassen Counties, California. California Department of Fish and Widlife; 2/2021.Vegetation Classification and Mapping Program, CA Dept. of Fish and Wildlife. Vegetation Map and Classification of Slinkard Valley and Little Antelope Valley Wildlife Areas, Mono County, California. California Department of Fish and Wildlife, Vegetation and Classification and Mapping Program; 8/2021.

The AddressPoints dataset depicts the locations of all known addresses within Mono County, CA.

The project lead for the collection of this data in California was Terri Weist. She, along with Danielle Walsh, Shelly Blair, and other personnel, captured 30 adult female mule deer from July 2012 to November 2014, equipping the deer with Iridium satellite collars manufactured by Lotek. The data was collected from the interstate Carson River herd, where a portion of the population spends the summer months in the Sierra range of California and the winter months in western Nevada. An additional 57 deer were collared in Nevada and provided by Cody Schroeder of the Nevada Department of Wildlife. Summer range is mostly within Alpine County, California, but also extends into El Dorado County and Mono County. Winter range is confined to the California-Nevada border area in Alpine County, CA. and Douglas County, NV. GPS location data was collected between February 2012 to July 2019. Between 2 and 12 location fixes were recorded per day, with a maximum of a fix taken every 2 hours during migration sequences. To improve the quality of the data set as per Bjørneraas et al. (2010), the GPS data were filtered prior to analysis to remove locations which were: i) further from either the previous point or subsequent point than an individual deer is able to travel in the elapsed time, ii) forming spikes in the movement trajectory based on outgoing and incoming speeds and turning angles sharper than a predefined threshold , or iii) fixed in 2D space and visually assessed as a bad fix by the analyst. The methodology used for this migration analysis allowed for the mapping of winter ranges and the identification and prioritization of migration corridors in a single deer population. Brownian Bridge Movement Models (BBMMs; Sawyer et al. 2009) were constructed with GPS collar data from 45 deer, including location, date, time, and average location error as inputs in Migration Mapper. Due to the large study area and a concentration of deer movement east of Lake Tahoe in the Carson Range, the population was split into two distinct sub-herds. Twenty deer contributing 52 migration sequences were used in the modeling analysis for the Carson Range. Twenty-five deer contributing 58 migration sequences were used from the rest of the population surrounding the Carson Valley. Corridors and stopovers were prioritized based on the number of animals moving through a particular area. BBMMs were produced at a spatial resolution of 50 m using a sequential fix interval of less than 27 hours. Winter range analyses were based on data from 48 individual deer and 92 wintering sequences using a fixed motion variance of 1000. Winter range designations for this herd would likely expand with a larger sample, filling in some of the gaps between winter range polygons in the map. Large water bodies were clipped from the final outputs.Corridors are visualized based on deer use per cell, with greater than or equal to 1 deer, greater than or equal to 2 deer (10% of the sample), and greater than or equal to 4 deer (20% of the sample) from the Carson Range dataset and greater than or equal to 1 deer, greater than or equal to 3 deer (10% of the sample), and greater than or equal to 5 deer (20% of the sample) from the Carson Valley dataset representing migration corridors, moderate use, and high use corridors, respectively. Stopovers were calculated as the top 10 percent of the population level utilization distribution during migrations and can be interpreted as high use areas. Winter range is visualized as the 50thpercentile contour of the winter range utilization distribution.

This dataset depicts water system lines within Mono County, CA. Dataset is incomplete.

The USGS 24k Quad Boundaries dataset is an index that shows where the USGS 1:24,000-scale quadrangle maps are located in Mono County.

This dataset shows the locations of mailboxes within Mono County, CA.

This dataset depicts Digital 395 vaults within Mono County, CA.