USGS is assessing the feasibility of map projections and grid systems for lunar surface operations. We propose developing a new Lunar Transverse Mercator (LTM), the Lunar Polar Stereographic (LPS), and the Lunar Grid Reference Systems (LGRS). We have also designed additional grids to meet NASA requirements for astronaut navigation, referred to as LGRS in Artemis Condensed Coordinates (ACC). This data release includes LGRS grids finer than 25km (1km, 100m, and 10m) in ACC format for a small number of terrestrial analog sites of interest. The grids contained in this data release are projected in the terrestrial Universal Transverse Mercator (UTM) Projected Coordinate Reference System (PCRS) using the World Geodetic System of 1984 (WGS84) as its reference datum. A small number of geotiffs used to related the linear distortion the UTM and WGS84 systems imposes on the analog sites include: 1) a clipped USGS Nation Elevation Dataset (NED) Digital Elevation Model (DEM); 2) the grid scale factor of the UTM zone the data is projected in, 3) the height factor based on the USGS NED DEM, 4) the combined factor, and 5) linear distortion calculated in parts-per-million (PPM). Geotiffs are projected from WGS84 in a UTM PCRS zone. Distortion calculations are based on the methods State Plane Coordinate System of 2022. See Dennis (2021; https://www.fig.net/resources/proceedings/fig_proceedings/fig2023/papers/cinema03/CINEMA03_dennis_12044.pdf) for more information. Coarser grids, (>=25km) such as the lunar LTM, LPS, and LGRS grids are not released here but may be acceded from https://doi.org/10.5066/P13YPWQD and displayed using a lunar datum. LTM, LPS, and LGRS are similar in design and use to the Universal Transverse Mercator (UTM), Universal Polar Stereographic (LPS), and Military Grid Reference System (MGRS), but adhere to NASA requirements. LGRS ACC format is similar in design and structure to historic Army Mapping Service Apollo orthotopophoto charts for navigation. Terrestrial Locations and associated LGRS ACC Grids and Files: Projection Location Files UTM 11N Yucca Flat 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 12N Buffalo Park 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff Cinder Lake 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff JETT3 Arizona 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff JETT5 Arizona 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff Meteor Crater 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 13N HAATS 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile 1km Grid Shapefile Derby LZ Clip 100m Grid Shapefile Derby LZ Clip 10m Grid Shapefile Derby LZ Clip 1km Grid Shapefile Eagle County Regional Airport KEGE Clip 100m Grid Shapefile Eagle County Regional Airport KEGE Clip 10m Grid Shapefile Eagle County Regional Airport KEGE Clip 1km Grid Shapefile Windy Point LZ Clip 100m Grid Shapefile Windy Point LZ Clip 10m Grid Shapefile Windy Point LZ Clip USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 15N Johnson Space Center 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 28N JETT2 Icelandic Highlands 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff The shapefiles and rasters utilize UTM projections. For GIS utilization of grid shapefiles projected in Lunar Latitude and Longitude should utilize a registered PCRS. To select the correct UTM EPSG code, determine the zone based on longitude (zones are 6° wide, numbered 1–60 from 180°W) and hemisphere (Northern Hemisphere uses EPSG:326XX; Southern Hemisphere uses EPSG:327XX), where XX is the zone number. For display in display in latitude and longitude, select a correct WGS84 EPSG code, such as EPSG:4326. Note: The Lunar Transverse Mercator (LTM) projection system is a globalized set of lunar map projections that divides the Moon into zones to provide a uniform coordinate system for accurate spatial representation. It uses a Transverse Mercator projection, which maps the Moon into 45 transverse Mercator strips, each 8°, longitude, wide. These Transverse Mercator strips are subdivided at the lunar equator for a total of 90 zones. Forty-five in the northern hemisphere and forty-five in the south. LTM specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large areas with high positional accuracy while maintaining consistent scale. The Lunar Polar Stereographic (LPS) projection system contains projection specifications for the Moon’s polar regions. It uses a polar stereographic projection, which maps the polar regions onto an azimuthal plane. The LPS system contains 2 zones, each zone is located at the northern and southern poles and is referred to as the LPS northern or LPS southern zone. LPS, like its equatorial counterpart LTM, specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large polar areas with high positional accuracy while maintaining consistent scale across the map region. LGRS is a globalized grid system for lunar navigation supported by the LTM and LPS projections. LGRS provides an alphanumeric grid coordinate structure for both the LTM and LPS systems. This labeling structure is utilized similarly to MGRS. LGRS defines a global area grid based on latitude and longitude and a 25×25 km grid based on LTM and LPS coordinate values. Two implementations of LGRS are used as polar areas require an LPS projection and equatorial areas a Transverse Mercator. We describe the differences in the techniques and methods reported in this data release. Request McClernan et. al. (in-press) for more information. ACC is a method of simplifying LGRS coordinates and is similar in use to the Army Mapping Service Apollo orthotopophoto charts for navigation. These grids are designed to condense a full LGRS coordinate to a relative coordinate of 6 characters in length. LGRS in ACC format is completed by imposing a 1km grid within the LGRS 25km grid, then truncating the grid precision to 10m. To me the character limit, a coordinate is reported as a relative value to the lower-left corner of the 25km LGRS zone without the zone information; However, zone information can be reported. As implemented, and 25km^2 area on the lunar surface will have a set of a unique set of ACC coordinates to report locations The shape files provided in this data release are projected in the LTM or LPS PCRSs and must utilize these projections to be dimensioned correctly.

U.S. State Plane Zones (NAD 1927) represents the State Plane Coordinate System (SPCS) zones for the 1927 North American Datum in the United States. Several State Plane Coordinate System zones are not shown in this dataset, including Puerto Rico, the U.S. Virgin Islands, American Samoa, Guam, and Louisiana's offshore zone. Esri created this dataset from several sources in 1997: Extracted state boundaries from ArcUSA™ 1:25M. Created state plane boundaries based on a graphic in the article, "A National Reference System and its Relationship to Mapping" by Alden P. Colvocoresses at the U.S. Geological Survey (USGS), and John P. Snyder's "An Album of Map Projections: A Working Manual" (1987: USGS Professional Paper 1395. U.S. Government Printing Office: Washington, D.C.).To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to USA State Plane Zones.

The test data set can be used to test high accuracy coordinate transformation (for compiled GIS data) and coordinate conversion in and around Victoria in relation to the Geocentric Datum of Australia. The test data can be used to compare outputs from software that: · Claims to use the official Intergovernmental Committee on Survey and Mapping (ICSM) high accuracy combined 7 parameter/distortion model transformation process and incorporating or derived from file data contained in called National 66 (13.09.01).gsb (refer to (http://www.anzlic.org.au/icsm/gdatm/) which is provided in the National Transformation Version 2 (NTv2) grid file format. · Claims to perform conversions between coordinate types relating to the Australian Geodetic Datum and Geocentric Datum of Australia including: - Geographicals: Latitude and Longitude coordinates (ie AGD66 and GDA94), - Universal Transverse Mercator (UTM) grid coordinates (ie Australian Map Grid 1966 (AMG66) and Map Grid of Australia 1994 (MGA94)) and - Custom Lambert conformal conic projection coordinates relating to the Land Victoria Vicgrid66 and Vicgrid94 projection specifications as they apply to Victoria (refer to www.giconnections.vic.gov.au)

This metadata report applies to the 2018 ADF&G Salmon and Miscellaneous Finfish Statistical Areas. Statistical areas are polygons that divide the waters of the State of Alaska and the adjacent Exclusive Economic Zone (EEZ) into small units for the purpose of reporting and analyzing fishery harvest. Each statistical area is identified by a unique 5-digit number. Salmon statistical areas can be divided by lines defined in ADF&G regulations, and further subdivided based on prominent landmarks or points of land. All regulatory lines were originally referenced to the NAD83 datum and later projected to the WGS84 datum in this feature class. This GIS version of the salmon statistical areas effective January 1, 2017, although this rendition of statistical areas became effective in 2018. If you need to compare to current statistical areas, you will need to refer to other versions of the salmon statistical areas. This project received funding under award NA15NMF4270272 from NOAA Fisheries Service, in cooperation with the Saltonstall-Kennedy Grant Program. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of NOAA Fisheries. THESTATE OF ALASKA, DEPARTMENT OF FISH AND GAME, MAKES NO EXPRESS OR IMPLIED WARRANTIES (INCLUDING WARRANTIES OF MERCHANTABILITY AND FITNESS) WITH RESPECT TO THE ACCURACY, CHARACTER, FUNCTION, OR CAPABILITIES OF THE DATA, SERVICES, OR PRODUCTS OR THEIR APPROPRIATENESS FOR ANY PARTICULAR PURPOSE. The Department of Fish and Game is not liable for any direct, incidental, indirect, special, compensatory, consequential or other damages suffered by the user or any other person or entity from the use of or failure of the data, services, or products even if the Department of Fish and Game has been advised of the possibility of such potential loss or damage. The entire risk as to the results of the use of the data, services, or products is assumed by the user. Datamay be subject to periodic change without prior notification. To ensure receipt of the most current information, please refer requests to the ADF&G Open Data website. Users may not reproduce or distribute these data without explicit consent of the Alaska Department of Fish and Game. Thesedata are provided for general visual reference and to aid users in generating various natural resource analyses and products. There are no constraints to accessing these data, other than the limitations or constraints associated with a specific dataset or set forth herein. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. Anyhardcopy or electronic products utilizing these data shall clearly indicate their source. If the user has modified the data in any way, the user must describe the modifications they have performed. The user agrees not to misrepresent these data, nor to imply that the Alaska Department of Fish and Game approved any changes they made.

In Spring 2019, with funding from several State partners, MassGIS contracted with the U.S. Geological Survey for statewide, 15 cm resolution, 16-bit, 4-band (RGB-IR) digital orthophotos. The data were delivered in early 2020 as 10,218 individual 1,500 m x 1,500 m tiles in a GeoTIFF format. To allow for easier distribution of this free imagery, MassGIS compressed the GeoTIFFS into the JPEG 2000 format, which retains the IR band. This hosted tile service was created using JPEG 2000 versions of the imagery.Project specifications are based on the American Society of Photogrammetry and Remote Sensing (ASPRS) standards. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM zones 18N and 19N meters and a vertical projection/datum of NAVD 88 (GEOID 12B) meters.This digital orthoimagery was created to provide easily accessible geospatial data which are readily available to enhance the capability of federal, state, and local emergency responders, as well as to plan for homeland security efforts. These data also support The National Map.These images can serve a variety of purposes, from general planning to field reference for spatial analysis, to a tool for data development and revision of vector maps. The imagery can also serve as a reference layer or basemap for myriad applications inside geographic information system (GIS) software and web-based maps.For more information see the imagery's MassGIS metadata page.

Many resource consents contain a condition limiting the taking of water when a river or waterway is on restrictionA residual flow applies to specific consents that take water from a tributary of a main river. A residual flow recognises that a tributary stream often has different flow characteristics from the main river stem. It is set at the point of take on a case-by-case basis, to provide for the aquatic ecosystems and natural character of the source water body.Intended UseThe residual flow sites layer is intended to show the location of the monitoring sites associated with maintaining residual flows.Attribute InformationMonitoring Site informationSiteID – Unique identification number for this site in Environment Canterbury database systemsWaterway – name of the water feature that this site relates to for residual flow purposesLocation – name for the location that the monitoring is undertakenRestrictionType – type of restriction (in this case Residual Flow restriction) that this site is used for monitoring.ReferenceSystem – Environment Canterbury data management system that the monitoring site information is being managed within.ReferenceNo – Internal ID for this site within the listed reference data management systemSiteAccount – Internal account for monitoring site.GroupAccount – Monitoring group.QARCode – Quality assurance code that describes the spatial accuracy of the site information. 1 = Differential GPS (advanced) or Geodetic Land Survey (1 - 2m); 2 = Standard handheld GPS (2 - 15m); 3 = Site visit (10 - 50m); 4 = Old Grid reference ±100m, no location sketch, or location not checked (50 - 300m); 5 = Proposed Location, should be within 50m (< 50m)Altitude – Approximate altitude of the monitoring site (above mean sea level) relative to the datum listed in the AltitudeDatum field. Values where the data is missing or displays 0 represent sites where that information is not available.AltitudeDatum – The vertical datum that the listed altitude value was recorded using. See https://www.linz.govt.nz/data/geodetic-system/datums-projections-and-heights/vertical-datums for more information about the vertical datums commonly used in New Zealand.IsActive – Current status on whether a site is being used for residual flow monitoring. Records with this value set to No are not currently part of residual flow monitoring for consents.CatchmentNo – unique identification number for the hydrological catchment that the monitoring site lies within. See https://opendata.canterburymaps.govt.nz/datasets/catchment-boundaries/explore for more details.CatchmentDesc – name used for hydrological catchment that the monitoring site lies within. Typically this is the name of water body that that the catchment area represents.GIS AttributesSpatial IDs: OBJECTIDSpatial Fields: SHAPE, NZTMX & NZTMY – Approximate location of monitoring site in New Zealand Transverse Mercator coordinatesLowFlowSource – Environment Canterbury data management system that the low flow site information is being managed within.

Geographic Extent: SANDY_Restoration_VA_MD_DC_QL2 Area of Interest covers approximately 2,002 square miles. Lot #5 contains the full project area Dataset Description: The SANDY_Restoration_VA_MD_DC_QL2 project called for the Planning, Acquisition, processing and derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of UTM Zone 18 North, NAD83, meters and vertical datum of NAVD1988 (GEOID12A), meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 2283 individual 1500m x 1500m tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 1500m x 1500m schema, and Breaklines in ESRI Shapefile format. The data was then converted to a horizontal projection/datum of NAD83 Maryland State Plane Coordinate System, Feet. LiDAR was delivered in Classified LAS 1.2 Files formatted to 1927 individual 4000' x 6000' tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 4000' x 6000' schema, and Breaklines in ESRI Shapefile format. Ground Conditions: LiDAR was collected in Winter 2014, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Quantum Spatial established a total of 59 QA control points and 95 Land Cover control points that were used to calibrate the LiDAR to known ground locations established throughout the SANDY_Restoration_VA_MD_DC_QL2 project area.This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://lidar.geodata.md.gov/imap/rest/services/Charles/MD_charles_dem_m/ImageServer

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 10 km x 10 km coordinate system based on the UTM projection using the North American Datum 83 (NAD83) grid. It includes: * Military Grid Reference- identifies a specific military grid reference system grid cell * Fire Base Map identifier- five digit identifier used by MNR's Aviation and Forest Fire Management Program to identify a fire basemap * Atlas identifier - identifies a specific grid cell * UTM Map Sheet Number - ID number of a UTM mapsheet This product requires the use of GIS software. UTM Grid - Map Projections [NAD83]: North American Datum 83 [UTM]: Universal Transverse Mercator

[Metadata] Description: TMK Parcels for the State of Hawaii - 2024; specific dates vary by county.Sources: County of Hawaii: 5/2/24; County of Maui: 5/2/24; City and County of Honolulu: 5/2/24; County of Kauai: 5/15/24. Hawaii Statewide GIS Program projected to a common projection/datum (UTM Zone 4, NAD 83 HARN) and merged all counties parcel data into one layer. Where necessary, the State standardized field names or added fields to the county layers such as creating text fields for corresponding numeric tmk fields, etc., and / or calculated values for fields such as links to qpublic9.qpublic.net websites showing additional information for each parcel.The parcel boundaries are intended to provide a visual reference only and do not represent legal or survey level accuracy. Attributes are for assessment purposes only and are subject to change at any time. For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/tmk_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website:https://planning.hawaii.gov/gis.

Hydrographic sheets (H-sheets) and nautical charts produced by the National Ocean Service (NOS) during the 1800s provide historic sounding (water depth) measurements of coastal areas. The data can be vectorized into a geographic information system (GIS), adjusted to a modern vertical datum, and converted into a digital elevation model to provide an interpretation of the historic seafloor elevation. These data were produced to provide an estimate of historical bathymetry for the Mississippi-Alabama coastal region to aid geologic and coastal hazards studies. This data release includes georeferenced H-sheets, depth soundings, and a bathymetric grid derived from the 1847 and 1895 soundings. The original NOS H-sheets and nautical charts were scanned by the National Oceanic and Atmospheric Administration (NOAA) and are available through the National Geophysical Data Center (NGDC) website (NOAA, 2021) as non-georeferenced digital raster files. U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) staff performed the following procedures: H-sheets were georeferenced, georeferenced raster images were projected to a modern datum, and historical bathymetric sounding measurements were digitized to create a vector point shapefile. Sounding data were converted from feet (ft) and fathoms (fm) to meters (m), projected to modern mean low water (MLW), and converted to the North American Vertical Datum of 1988 (NAVD88) GEOID12A using NOAA's datum transformation software, VDatum. Please read the full metadata for details on data collection, digitized data, dataset variables, and data quality.

In May 2013, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS) Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (blue, green, red and near infrared) with a ground resolution of 20 centimeters (cm). These data are available to the public as 16-bit geotiff files. They are projected in the State Plane (SP) map projection using the central Arizona zone (202) and the North American Datum of 1983 (NAD83). The assessed accuracy for these data is based on 91 Ground Control Points (GCPs), and is reported at 95% confidence as 0.64 meters (m) and a Root Mean Square Error (RMSE) of 0.36m. The airborne data acquisition was conducted under contract by Fugro Earthdata Inc. using two fixed wing aircraft from May 25th to 30th, 2013 at altitudes between 2440 meters to 3350 meters above mean sea level. The data delivered by Fugro Earthdata Inc. were checked for smear, shadow extent and water clarity as described for previous image acquisitions in Davis (2012). We then produced a corridor-wide mosaic using the best possible tiles with the least amount of smear, the smallest shadow extent, and clearest, most glint-free water possible. During the mosaic process adjacent tiles sometimes had to be spectrally adjusted to account for differences in date, time, sun angle, weather, and environment. We used the same method as described in Davis (2012) for the spectral adjustment. A horizontal accuracy assessment was completed by Fugro Earthdata Inc. using 188 GCPs provided by GCMRC. The GCPs were marked during the image acquisition with 1m2 diagonally alternated black and white plastic panels centered on control points throughout the river corridor in the GCMRC survey control network (Hazel and others, 2008). The Root Mean Square Error (RMSE) accuracy reported by Fugro Earthdata Inc. is 0.17m Easting and 0.15m Northing, or better, depending on the acquisition zone. The 16-bit image data are stored as four band images in embedded geotiff format, which can be read and used by most geographic information system (GIS) and image-processing software. The TIFF world files (tfw) are provided, however they are not needed for many software to read an embedded geotiff image. The image files are projected in the State Plane (SP) 2011, map projection using the central Arizona zone (202) and the North American Datum of 1983 (NAD83). A complete detailed description of the methods can be found in the associated USGS Data Series 1027 for these data, https://pubs.er.usgs.gov/publication/ds1027.

Projection: UTM, zone 10, datum NAD83.

GIS file format: ESRI Shapefile for vector, ESRI arcinfo binary GRID format for raster.

Data Sources: National Center for Airborne Laser Mapping (NCALM, http://ncalm.berkeley.edu): Lidar DEM of the South Fork Eel watershed at Angelo reserve was created by NCALM.

This data is new and still is being post processed. The dem is extremely high quality (1m resolution). California Spatial Information Library (CASIL, http://gis.ca.gov): public and federal datasets, including USGS drg, doqq, and blue-line datasets.

Naming Conventions: This is not strictly followed. Files start with their spatial scale and end with their projection. Maps will often end with their DPI resolution. Eel: entire eel watershed Sfk: South Fork Eel Nfk: North Fork Eel Angelo: Angelo Reserve

This metadata report applies to the 2017 ADF&G Salmon and Miscellaneous Finfish Statistical Areas for the Arctic-Yukon-Kuskokwim region. Statistical areas are polygons that divide the waters of the State of Alaska and the adjacent Exclusive Economic Zone (EEZ) into small units for the purpose of reporting and analyzing fishery harvest. Each statistical area is identified by a unique 5-digit number. Salmon statistical areas can be divided by lines defined in ADF&G regulations, and further subdivided based on prominent landmarks or points of land. All regulatory lines were originally referenced to the NAD83 datum and later projected to the WGS84 datum in this feature class. This GIS version of the salmon statistical areas effective January 1, 2017, although these statistical areas became effective between 1960 and 2017. If you need to compare to current statistical areas, you will need to refer to other versions of the salmon statistical areas. This project received funding under award NA15NMF4270272 from NOAA Fisheries Service, in cooperation with the Saltonstall-Kennedy Grant Program.

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied and contains boundary and attribute information for parcels of public, private and Aboriginal lands in Australia. Data are sourced primarily from government gazette notices, cadastral maps and plans. A nominal scale of around 1:5 million and a minimum 50 square kilometre threshold limit for land parcels was used in the generalisation of this product from the National Public and Aboriginal Lands data. Data is suitable for GIS applications. This map shows public and private land tenure, including Indigenous land for the whole of Australia at a scale of 1:4.7 million.

The land tenure boundaries depicted on this map generally define broadly classified areas greater than 50 square kilometres. Indigenous land areas between 0.1 and 100 square kilometres are shown more comprehensively by symbols. The information on this map is complemented by statistical tables giving the total area of the land tenure categories for each State and Territory.

This map is also available as free vector GIS data, ArcInfo Export, ArcView Shapefile and MapInfo mid/mif. Please direct any corrections or feedback on this map to mapfeedback@ga.gov.au.

Product Specifications: Coverage: Australia Currency: Mid 1993 Coordinates: Geographical Datum: AGD66 Projection: Simple Conic on two standard parallels 18S and 36S Medium: Printed map (flat and folded). ANZLIC unique identifier: ANZCW0703005424. Metadata Statement.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the York 30 x 60 minute quadrangle in Pennsylvania and Maryland. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2014 and 2017 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Many resource consents contain a condition limiting the taking of water when a river or waterway is on restrictionA minimum flow means the flow at which abstractions from a water body must cease other than for an individual’s reasonable domestic needs, the reasonable needs of individuals and animals for drinking water, and for firefighting.Intended UseThe minimum flow sites layer is intended to show the location of the monitoring sites associated with maintaining minimum flows for consent condition purposes.Attribute InformationMonitoring Site informationSiteID – Unique identification number for this site in Environment Canterbury database systemsWaterway – name of the water feature that this site relates to for residual flow purposesLocation – name for the location that the monitoring is undertakenRestrictionType – type of restriction (in this case Minimum Flow restriction) that this site is used for monitoring.ReferenceSystem – Environment Canterbury data management system that the monitoring site information is being managed within.ReferenceNo – Internal ID for this site within the listed reference data management systemSiteAccount – Internal account for monitoring site.GroupAccount – Monitoring group.QARCode – Quality assurance code that describes the spatial accuracy of the site information. 1 = Differential GPS (advanced) or Geodetic Land Survey (1 - 2m); 2 = Standard handheld GPS (2 - 15m); 3 = Site visit (10 - 50m); 4 = Old Grid reference ±100m, no location sketch, or location not checked (50 - 300m); 5 = Proposed Location, should be within 50m (< 50m)Altitude – Approximate altitude of the monitoring site (above mean sea level) relative to the datum listed in the AltitudeDatum field. Values where the data is missing or displays 0 represent sites where that information is not available.AltitudeDatum – The vertical datum that the listed altitude value was recorded using. See https://www.linz.govt.nz/data/geodetic-system/datums-projections-and-heights/vertical-datums for more information about the vertical datums commonly used in New Zealand.IsActive – Current status on whether a site is being used for residual flow monitoring. Records with this value set to No are not currently part of residual flow monitoring for consents.CatchmentNo – unique identification number for the hydrological catchment that the monitoring site lies within. See https://opendata.canterburymaps.govt.nz/datasets/catchment-boundaries/explore for more details.CatchmentDesc – name used for hydrological catchment that the monitoring site lies within. Typically this is the name of water body that that the catchment area represents.GIS AttributesSpatial IDs: OBJECTIDSpatial Fields: SHAPE, NZTMX & NZTMY – Approximate location of monitoring site in New Zealand Transverse Mercator coordinatesLowFlowSource – Environment Canterbury data management system that the low flow site information is being managed within.

This dataset represents electromagnetic conductors compiled from assessment files. The data was created as a file geodatabase feature class and made available for public distribution. Locations may be 200 to 300 meters off due to unknowns such as datums and projections of information submitted to the assessment files and due to poor location maps.

**Please Note – All published Saskatchewan Geological Survey datasets,

including those available through the Saskatchewan Mining and Petroleum GeoAtlas, are sourced from the Enterprise GIS Data Warehouse. They are therefore identical and share the same refresh schedule.

These are Digital Elevation Model (DEM) data for Sarasota county,as part of the required deliverables for the FL Peninsular FDEM 2018 D19 DRRA Lidar project.Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM.Dataset Description: FL Peninsular FDEM 2018 D19 DRRA Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S Survey Feet. Sarasota County GIS has subsequently re-projected the data to NAD83 State Plane HARN, U.S. Survey Feet.Raster Cell Size: 2.5 footRequired Vertical Accuracy: The required NVA is: 19.6 cm (0.64 ft)at a 95% confidence level

Point feature to show curb location sin the City of Littleton. This metadata describes the stereocompiled sidewalk ramps feature of DRCOG Denver Region Urbanized Project Area. The feature was compiled from the Denver Regional Aerial Photography Project (DRAPP) 2014 Aerial Imagery Acquisition and Production. This 1"=100' scale imagery is comprised of 4-band RGBIR color orthoimagery with a GSD (Ground Sample Distance) of 0.5'. Imagery was collected with the Leica ADS40 and ADS80 digital sensors and processed with Leica XPro software. Imagery is projected in State Plane Coordinate System, Colorado central zone using the Lambert Conformal Conic map projection parameters. Horizontal and vertical datums are NAD83(11) and NAVD88(GEOID12A) respectively.