Many geometrical schemes – or map projections – are used to represent the curved surface of the Earth on map sheets.Canada uses the Universal Transverse Mercator (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator.This data class shows a 1 km x 1 km UTM NAD83 grid that is a standard reference index for Ontario.It includes:Military Grid ReferenceFire Base Map identifierFire Base Map BlockAtlas identifierAdditional DocumentationUTM Grid - User Guide (Word)UTM 1KM Grid - Data Description (PDF)UTM 1KM Grid - Documentation (Word)StatusCompleted: production of the data has been completedMaintenance and Update FrequencyAs needed: data is updated as deemed necessaryContactOffice of the Surveyor General, landtenuremapping@ontario.ca

Portions of Universal Transverse Mercator Zones 7 - 12 which cover British Columbia, Northern Hemisphere only, formed into polygons, in BC Albers projection

World UTM Zones represents the Universal Transverse Mercator (UTM) Zones of the world. Distributed from GeoYukon by the Government of Yukon . Discover more digital map data and interactive maps from Yukon's digital map data collection. For more information: geomatics.help@yukon.ca

Many geometrical schemes - or map projections - are used to represent the curved surface of the Earth on map sheets. Canada uses the Universal Transverse Mercator (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator. This data class shows a 5 km x 5 km grid coordinate system based on the UTM projection using the North American Datum 83 (NAD83). It includes a UTM Map Sheet Number.

Reference map of the Northwest Territories showing UTM Zones, NTS grids and Communities.

The Digital Geologic Map of the Point Loma Quadrangle and area immediately west, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: California Division of Mines and Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (polm_metadata.txt; available at http://nrdata.nps.gov/cabr/nrdata/geology/gis/polm_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (polm_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 11N. That data is within the area of interest of Cabrillo National Monument.

The Hot Spot Regions of Permafrost Change (HRPC) product maps changes in surface characteristics using the full Landsat archive (TM, ETM+, OLI) for the peak summer season (July, August) from 1999 to 2014. The HRPC products provide trends of multi-spectral indices such as Tasselled Cap brightness, greenness, wetness and normalized indices (NDVI, NDWI, NDMI) in 4 regional transects spanning the panarctic permafrost domain. Changes in indices can be linked to both gradual (press disturbance) and rapid (pulse disturbances) land surface changes. Press disturbances are for example shrub expansion, wetting, drying, or active layer deepening. Pulse disturbances include thermokarst and thermo-erosion, lake formation, expansion, and shrinkage, erosion, or wildfires.

All products are spatially organized into three different levels: Transects, Zones and Blocks. HRPC maps are available for four transects: T1 Western Siberia, T2 Eastern Siberia, T3 Alaska, and T4 Eastern Canada. Each transect is subdivided into zones, which correspond to their respective UTM Zones e.g. zones Z051 and Z052 for T2 Eastern Siberia. Due to the large data size, the zones are further subdivided into smaller tiles of 2° latitude (e.g. 64°N to 66°N) and the full width of the UTM zone within the respective transect.

More information on image processing, trend analysis and interpretation can be found in the product guide.

The processed bathymetric grids were generated from high-resolution, multibeam bathymetric surveys of the Monterey Canyon floor. Two sites were surveyed 6 times each between October 2015 and April 2017 with an MBARI mapping AUV (Autonomous Underwater Vehicle) as part of the Monterey Canyon Coordinated Canyon Experiment (CCE). The CCE was set up to measure the passage of sediment gravity flows down Monterey Canyon and their effect on the bathymetry. Repeat surveys captured changes in bathymetry during the experiment. The AUV carried a Reson 7125 multibeam echo-sounder (vertical precision of 0.15 m and horizontal resolution of 1.0 m). An inertial navigation system combined with a Doppler velocity logger allowed the AUV to fly pre-programmed grids at 3 knots, while maintaining an altitude of 50 m above the seafloor, to obtain a nominal line spacing of 130 m. These data files have been cleaned, and tide corrected. A significant effort was made to co-register all the surveys together at each site (CCE_Shallow and CCE_DEEP) using MBnavadjust, part of MBSystem. The shallow surveys were conducted in water depths between 200-500 m and the deep surveys were in water depths of 1350-1880 m. The data files are in netCDF grid format with horizontal 1 m resolution and are projected into UTM zone 10N. The grid files are compatible with GMT programs and MBSystem. For more information about the grids review the "Science Report" under Documents. Funding for this part of the project was provided to investigators Charles Paull and David Caress by The David and Lucile Packard Foundation.

Terrapoint collected LiDAR for 197 square miles covering five islands off the coast of Los Angeles, California. These islands are part of the Channel Islands National Park and consists of San Miguel Island, Santa Rosa Island, Santa Cruz Island, Anacapa Island, and Santa Barbara Island. The nominal pulse spacing for this project was better than 0.7 meters. This project was collected with a sensor which collects waveform data and provides an intensity value for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to USGS ARRA specifications: 1-Unclassified 2-Ground 7-Noise 9-Water 10-Ignored Ground due to breakline proximity. Dewberry produced 3D breaklines, seamless DSMs, and seamless hydro flattened DEMs for the 204 tiles (2000 m x 2000 m) that cover the project area. Area mapped by island is as follows: Santa Barbara Island-1 sq. mi. Anacapa Island-1 sq. mi. San Miguel Island-15 sq. mi. Santa Rosa Island-83 sq. mi. Santa Cruz Island-97 sq. mi. Two UTM zones cover the Channel Islands. The islands delivered per each UTM zone are as follows (please note that Santa Rosa Island was delivered in both UTM zone 10 and UTM zone 11): UTM Zone 10: Santa Rosa Island San Miguel Island UTM Zone 11: Santa Barbara Island Santa Rosa Island Santa Cruz Island Anacapa Island The NOAA Office for Coastal Management received the data in UTM Zones 10 and 11. The data were converted to geographic coordinates and from NAVD88 heights to ellipsoid heights using GEOID09. These files were converted for data storage and Digital Coast provisioning purposes.

Seamless unconfined groundwater heads for coastal California groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited primarily to low-elevation (i.e. land surface less than approximately 10 m above mean sea level) areas. In areas where coastal elevations increase rapidly (e.g., bluff stretches), the model boundary was set approximately 1 kilometer inland of the present-day shoreline. Steady-state MODFLOW groundwater flow models were used to obtain detailed (10-meter-scale) predictions over large geographic scales (100s of kilometers) of groundwater heads for both current and future sea-level rise (SLR) scenarios (0 to 2 meters (m) in 0.25 m increments, 2.5 m, 3 m, and 5 m) using a range of horizontal hydraulic conductivity (Kh) scenarios (0.1, 1, and 10 m/day). For each SLR/Kh combination, results are provided for two marine boundary conditions, local mean sea level (LMSL) and mean higher-high water (MHHW), and two model versions. In the first model version, groundwater reaching the land surface is removed from the model, simulating loss via natural drainage. In the second model version, groundwater reaching the land surface is retained, simulating the worst-case "linear" response of groundwater head to sea-level rise. Modeled groundwater heads were then subtracted from high-resolution topographic digital elevation model (DEM) data to obtain the water table depths, which are represented as polygons for specific depth ranges in this dataset. Additional details about the groundwater model and data sources are outlined in Befus and others (2020) and in Groundwater_model_methods.pdf (available at https://www.sciencebase.gov/catalog/file/get/5b8ef008e4b0702d0e7ec72b?name=Groundwater_model_methods.pdf). Methods specific to groundwater head and water table depth products are outlined in Groundwater_head_and_water_table_depth_methods.pdf (available at https://www.sciencebase.gov/catalog/file/get/5bda1563e4b0b3fc5cec39b4?name=Groundwater_head _and_water_table_depth_methods.pdf). Methods specific to groundwater emergence and shoaling products are outlined in Groundwater_emergence_and_shoaling_methods.pdf (available at https://www.sciencebase.gov/catalog/file/get/5bd9f318e4b0b3fc5cec20ed?name=Groundwater_emergence_and_shoaling_methods.pdf). Please read the model details, data sources and methods summaries and inspect model output carefully. Data are complete for the information presented. Users should note that while the metadata Spatial Reference Information/UTM Zone Number in this document is 10, some files in southern California are in UTM Zone 11, as noted in the Format Specification for individual downloadable files. As a result users may need to modify the metadata for automated import and display of Zone 11 datafiles.

Seamless unconfined groundwater heads for coastal California groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited primarily to low-elevation (i.e. land surface less than approximately 10 m above mean sea level) areas. In areas where coastal elevations increase rapidly (e.g., bluff stretches), the model boundary was set approximately 1 kilometer inland of the present-day shoreline. Steady-state MODFLOW groundwater flow models were used to obtain detailed (10-meter-scale) predictions over large geographic scales (100s of kilometers) of groundwater heads for both current and future sea-level rise (SLR) scenarios (0 to 2 meters (m) in 0.25 m increments, 2.5 m, 3 m, and 5 m) using a range of horizontal hydraulic conductivity (Kh) scenarios (0.1, 1, and 10 m/day). For each SLR/Kh combination, results are provided for two marine boundary conditions, local mean sea level (LMSL) and mean higher-high water (MHHW), and two model versions. In the first model version, groundwater reaching the land surface is removed from the model, simulating loss via natural drainage. In the second model version, groundwater reaching the land surface is retained, simulating the worst-case "linear" response of groundwater head to sea-level rise. Modeled groundwater heads were then subtracted from high-resolution topographic digital elevation model (DEM) data to obtain the water table depths. Additional details about the groundwater model and data sources are outlined in Befus and others (2020) and in Groundwater_model_methods.pdf (available at https://www.sciencebase.gov/catalog/file/get/5b8ef008e4b0702d0e7ec72b?name=Groundwater_model_methods.pdf). Methods specific to groundwater head and water table depth products are outlined in Groundwater_head_and_water_table_depth_methods.pdf (available at https://www.sciencebase.gov/catalog/file/get/5bda1563e4b0b3fc5cec39b4?name=Groundwater_head _and_water_table_depth_methods.pdf). Please read the model details, data sources and methods summaries, and inspect model output carefully. Data are complete for the information presented. Users should note that while the metadata Spatial Reference Information/UTM Zone Number in this document is 10, some files in southern California are in UTM Zone 11, as noted in the Format Specification for individual downloadable files. As a result users may need to modify the metadata for automated import and display of Zone 11 datafiles.

This feature class was digitized from the map, A.B. 1717, by Jeff Galef on August 22, 2012. The features were labeled as being in the Primary or Secondary Zone. The digitizing was done at a 1:4,000 scale. The features were digitized by a map that was georeferenced by Jeff Galef on July 25, 2012. The number of control points used was 25. The RMS error was 13.74340. The georeferencing was performed against the 2009 NAIP imagery, which was projected to UTM Zone 10, NAD 83.Digitizing was difficult since the line borders and the associated colors often did not match up. That is, there was a fair amount of overlap. The decision was made that the digitizing would follow the thick red and black lines where available. Otherwise, the digitizing followed the coloring. This feature class was edited on November 26, 2013 by Terri Fong to reflect the San Francisco Bay Conservation and Development Commission's map amendments of 2011. The amendments are described in Resolution No. 11-05 which can be found here: http://www.bcdc.ca.gov/BPA/Final2011.07.01.ResolutionNo1.10.pdf. This resolution changes the size of the Water Related Industry Reserve Area near Collinsville. The current Boundaries of the Suisun Marsh map can be found here: http://www.bcdc.ca.gov/plans/SMboundaries.pdf.

The Digital Geologic Map of Cabrillo National Monument and vicinity, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: California Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (cabr_metadata.txt; available at http://nrdata.nps.gov/cabr/nrdata/geology/gis/cabr_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (cabr_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 11N. That data is within the area of interest of Cabrillo National Monument.

The Digital Geologic Map of Golden Gate National Recreation Area and Vicinity, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: USGS and California Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (goga_metadata.txt; available at http://nrdata.nps.gov/goga/nrdata/geology/gis/goga_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (goga_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 10N. That data is within the area of interest of Golden Gate National Recreation Area, Point Reyes National Seashore, Muir Woods National Monument, Fort Point National Historic Site, Rosie the Riveter National Historical Park and San Francisco Maritime National Historical Park.

The Unpublished Digital Geohazards Map of Santa Monica Mountains National Recreation Area and Vicinity, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (samo_geohazards.gdb), a 10.1 ArcMap (.MXD) map document (samo_geohazards.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (samo_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (samo_gis_readme.pdf). Please read the samo_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: California Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (samo_geohazards_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/samo/samo_geohazards_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 11N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Santa Monica Mountains National Recreation Area.

Reference map of the Northwest Territories showing UTM Zones, NTS grids and Communities.

This data provides a geo-referenced, spatial dataset that represents the integrated cadastral framework for the specified Data set. The cadastral framework consists of active and superseded cadastral parcel (both titled and crown lands), roads, easements, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of text as lot number, block number, quad number, etc. The entire framework is compiled from Canada Land Survey Records (CLSR) archived in the Canada Land Survey Records.

This portion of the USGS data release presents single beam bathymetry data collected during surveys performed in the Cache Slough Complex, Sacramento-San Joaquin Delta, California in 2017 and 2018 (USGS Field Activity Numbers 2017-649-FA and 2018-684-FA). Bathymetry data were collected using personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The final point data from the PWCs are provided in a comma-separated text file and are projected in cartesian coordinates using the Universal Transverse Mercator (UTM) Zone 10 North, meters coordinate system.

This raster dataset is a 200-meter resolution grid containing multibeam bathymetry data for Monterey Bay, California. These data are provided in GCS WGS 84 and UTM Zone 10 (NAD 83) projections, as well as Generic Mapping Tools (GMT) and ASCII formats. This layer is part of the GIS Data of the Monterey Bay collection, a compilation of data and imagery of the Monterey Bay area, including coastline, imagery, and bathymetry.

This data provides a geo-referenced, spatial dataset that represents the integrated cadastral framework for the specified Data set. The cadastral framework consists of active and superseded cadastral parcel (both titled and crown lands), roads, easements, active lines, points and annotations. The cadastral lines form the boundaries of the parcels. COGO attributes are associated to the lines and depict the adjusted framework of the cadastral fabric. The cadastral annotations consist of text as lot number, block number, quad number, etc. The entire framework is compiled from Canada Land Survey Records (CLSR) archived in the Canada Land Survey Records.