This map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap includes bathymetry, marine water body names, undersea feature names, and derived depth values in meters. Land features include administrative boundaries, cities, inland waters, roads, overlaid on land cover and shaded relief imagery.

The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and DeLorme, HERE, and Esri for topographic content. The basemap was designed and developed by Esri.

The Ocean Basemap currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details, see the Community Maps Program.

Tip: Here are some famous oceanic locations as they appear in this map. Each URL below launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

Updated quarterly, the Landgate Basemap is comprised of simplified cadastre, topographic and road centreline information, and is the perfect backdrop to provide context for projects that require commonly used underlying WA centric location information. The Landgate Basemap provides a stylized (familiar ‘StreetSmart’ style ) layout, current, geo-referenced and view only map base. This is a view only service (i.e no data download capability) and can be viewed in combination with Landgate’s other subscription datasets, SLIP public datasets and other geo-referenced data. Designed for use within GIS and online mapping applications, the tile cached Basemap service introduces faster panning and redrawing of location information commonly used across many sectors. Key information • WA centric basemap comprising commonly used Landgate location information • cached map tiles • ESRI cache map service and WMTS (web map tile service) - publishes in WGS84 only • Update cycle: quarterly • Coverage: whole of state (includes Christmas and Cocos Keeling Islands) • QGIS 2.18 minimum required for WMTS usage. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions. For more information and access to Subscription Services contact Landgate's Business Sales and Service team. Email: BusinessSolutions@landgate.wa.gov.au Services Note, the following services require 3rd party software that supports OGC Standards and Esri services.

This dataset contains both large (A0) printable maps of the Torres Strait broken into six overlapping regions, based on a clear sky, clear water composite Sentinel 2 composite imagery and the imagery used to create these maps. These maps show satellite imagery of the region, overlaid with reef and island boundaries and names. Not all features are named, just the more prominent features. This also includes a vector map of Ashmore Reef and Boot Reef in Coral Sea as these were used in the same discussions that these maps were developed for. The map of Ashmore Reef includes the atoll platform, reef boundaries and depth polygons for 5 m and 10 m.

This dataset contains all working files used in the development of these maps. This includes all a copy of all the source datasets and all derived satellite image tiles and QGIS files used to create the maps. This includes cloud free Sentinel 2 composite imagery of the Torres Strait region with alpha blended edges to allow the creation of a smooth high resolution basemap of the region.

The base imagery is similar to the older base imagery dataset: Torres Strait clear sky, clear water Landsat 5 satellite composite (NERP TE 13.1 eAtlas, AIMS, source: NASA).

Most of the imagery in the composite imagery from 2017 - 2021.

Method: The Sentinel 2 basemap was produced by processing imagery from the World_AIMS_Marine-satellite-imagery dataset (not yet published) for the Torres Strait region. The TrueColour imagery for the scenes covering the mapped area were downloaded. Both the reference 1 imagery (R1) and reference 2 imagery (R2) was copied for processing. R1 imagery contains the lowest noise, most cloud free imagery, while R2 contains the next best set of imagery. Both R1 and R2 are typically composite images from multiple dates.

The R2 images were selectively blended using manually created masks with the R1 images. This was done to get the best combination of both images and typically resulted in a reduction in some of the cloud artefacts in the R1 images. The mask creation and previewing of the blending was performed in Photoshop. The created masks were saved in 01-data/R2-R1-masks. To help with the blending of neighbouring images a feathered alpha channel was added to the imagery. The processing of the merging (using the masks) and the creation of the feathered borders on the images was performed using a Python script (src/local/03-merge-R2-R1-images.py) using the Pillow library and GDAL. The neighbouring image blending mask was created by applying a blurring of the original hard image mask. This allowed neighbouring image tiles to merge together.

The imagery and reference datasets (reef boundaries, EEZ) were loaded into QGIS for the creation of the printable maps.

To optimise the matching of the resulting map slight brightness adjustments were applied to each scene tile to match its neighbours. This was done in the setup of each image in QGIS. This adjustment was imperfect as each tile was made from a different combinations of days (to remove clouds) resulting in each scene having a different tonal gradients across the scene then its neighbours. Additionally Sentinel 2 has slight stripes (at 13 degrees off the vertical) due to the swath of each sensor having a slight sensitivity difference. This effect was uncorrected in this imagery.

Single merged composite GeoTiff: The image tiles with alpha blended edges work well in QGIS, but not in ArcGIS Pro. To allow this imagery to be used across tools that don't support the alpha blending we merged and flattened the tiles into a single large GeoTiff with no alpha channel. This was done by rendering the map created in QGIS into a single large image. This was done in multiple steps to make the process manageable.

The rendered map was cut into twenty 1 x 1 degree georeferenced PNG images using the Atlas feature of QGIS. This process baked in the alpha blending across neighbouring Sentinel 2 scenes. The PNG images were then merged back into a large GeoTiff image using GDAL (via QGIS), removing the alpha channel. The brightness of the image was adjusted so that the darkest pixels in the image were 1, saving the value 0 for nodata masking and the boundary was clipped, using a polygon boundary, to trim off the outer feathering. The image was then optimised for performance by using internal tiling and adding overviews. A full breakdown of these steps is provided in the README.md in the 'Browse and download all data files' link.

The merged final image is available in export\TS_AIMS_Torres Strait-Sentinel-2_Composite.tif.

Change Log: 2023-03-02: Eric Lawrey Created a merged version of the satellite imagery, with no alpha blending so that it can be used in ArcGIS Pro. It is now a single large GeoTiff image. The Google Earth Engine source code for the World_AIMS_Marine-satellite-imagery was included to improve the reproducibility and provenance of the dataset, along with a calculation of the distribution of image dates that went into the final composite image. A WMS service for the imagery was also setup and linked to from the metadata. A cross reference to the older Torres Strait clear sky clear water Landsat composite imagery was also added to the record.

22 Nov 2023: Eric Lawrey Added the data and maps for close up of Mer. - 01-data/TS_DNRM_Mer-aerial-imagery/ - preview/Torres-Strait-Mer-Map-Landscape-A0.jpeg - exports/Torres-Strait-Mer-Map-Landscape-A0.pdf Updated 02-Torres-Strait-regional-maps.qgz to include the layout for the new map.

Source datasets: Complete Great Barrier Reef (GBR) Island and Reef Feature boundaries including Torres Strait Version 1b (NESP TWQ 3.13, AIMS, TSRA, GBRMPA), https://eatlas.org.au/data/uuid/d2396b2c-68d4-4f4b-aab0-52f7bc4a81f5

Geoscience Australia (2014b), Seas and Submerged Lands Act 1973 - Australian Maritime Boundaries 2014a - Geodatabase [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, https://dx.doi.org/10.4225/25/5539DFE87D895

Basemap/AU_GA_AMB_2014a/Exclusive_Economic_Zone_AMB2014a_Limit.shp The original data was obtained from GA (Geoscience Australia, 2014a). The Geodatabase was loaded in ArcMap. The Exclusive_Economic_Zone_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.

Geoscience Australia (2014a), Treaties - Australian Maritime Boundaries (AMB) 2014a [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, http://dx.doi.org/10.4225/25/5539E01878302 Basemap/AU_GA_Treaties-AMB_2014a/Papua_New_Guinea_TSPZ_AMB2014a_Limit.shp The original data was obtained from GA (Geoscience Australia, 2014b). The Geodatabase was loaded in ArcMap. The Papua_New_Guinea_TSPZ_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.

AIMS Coral Sea Features (2022) - DRAFT This is a draft version of this dataset. The region for Ashmore and Boot reef was checked. The attributes in these datasets haven't been cleaned up. Note these files should not be considered finalised and are only suitable for maps around Ashmore Reef. Please source an updated version of this dataset for any other purpose. CS_AIMS_Coral-Sea-Features/CS_Names/Names.shp CS_AIMS_Coral-Sea-Features/CS_Platform_adj/CS_Platform.shp CS_AIMS_Coral-Sea-Features/CS_Reef_Boundaries_adj/CS_Reef_Boundaries.shp CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth5m_Coral-Sea.shp CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth10m_Coral-Sea.shp

Murray Island 20 Sept 2011 15cm SISP aerial imagery, Queensland Spatial Imagery Services Program, Department of Resources, Queensland This is the high resolution imagery used to create the map of Mer.

Marine satellite imagery (Sentinel 2 and Landsat 8) (AIMS), https://eatlas.org.au/data/uuid/5d67aa4d-a983-45d0-8cc1-187596fa9c0c - World_AIMS_Marine-satellite-imagery

Data Location: This dataset is filed in the eAtlas enduring data repository at: data\custodian\2020-2029-AIMS\TS_AIMS_Torres-Strait-Sentinel-2-regional-maps. On the eAtlas server it is stored at eAtlas GeoServer\data\2020-2029-AIMS.

This vector tile layer presents the Nova style (World Edition) and provides a detailed basemap for the world, featuring a dark background with glowing blue symbology. The Nova map uses color scheme, with a grid pattern across the ocean and stripes or square stippled patterns for land use features visible at larger scales. The colors are reminiscent of science-fiction shows, where one is looking at a map of the world on a 'head's up' device or a map that would be projected from a transparent glass wall. Additional graphics in the oceans presents a futuristic user interface. The futuristic and less terrestrial feel theme continues with the geometric patterns, starburst city dot symbols, and cool color scheme. The fonts displayed are clean and squarish (san serif) with a futuristic, science-fiction, or high technology appearance. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Nova Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

Spatial dataset derived from many different open data repositories and cropped on the Omo-Turkana Basin boundary, used to create a base-map describing the components of Water-Energy-Food nexus in the case study.

omo-turkana.gpkg: vector dataset including the following layers, together with the related map style for QGIS Desktop used in the DAFNE Geoportal basemap:

• basin: Hydrological basin of the Omo-Turkana river (case study boundary)
• subbasin: Basins of the main tributaries
• waterbodies: Natural lakes and reservoirs boundaries
• rivers: River network
• dams: Existing dams
• protected_areas: Protected areas
• aei_pct_cells: Area equipped for irrigation, expressed as percentage of total area.
• roads: Main roads network
• cities: Main cities in the riparian countries
• countries: Administrative borders of riparian countries
• markers: DAFNE model components location, with existing and planned dams and power plants, irrigation schemes, environmental target areas.

zambezi_raster.zip: raster dataset including the following layers:

• srtm_90m: Digital Elevation Model
• Global Surface Water:
  • change: Occurrence Change Intensity map provides information on where surface water occurrence increased, decreased or remained the same between 1984-1999 and 2000-2015
  • extent: Maximum Water Extent shows all the locations ever detected as water over period 1984-2015
  • occurence: Occurrence shows where surface water occurred between 1984 and 2015 and provides information concerning overall water dynamics.
  • recurrence: Recurrence provides information concerning the inter-annual behaviour of water surfaces and captures the frequency with which water returns from year to year.
  • seasonality: Seasonality map provides information concerning the intra-annual behaviour of water surfaces for a single year (2015) and shows permanent and seasonal water and the number of months water was present.
  • transitions: Transitions map provides information on the change in surface water seasonality between the first and last years (between 1984 and 2015) and captures changes between the three classes of not water, seasonal water and permanent water.

Original data sources include:

• AQUASTAT, the FAO global information system on water resources and agricultural water management;

• Natural Earth, a public domain map dataset available at different scales;

• Protected Planet, the most up to date and complete source of data on protected areas and other effective area-based conservation measures, maintained by UNEP-WCMC and IUCN;

• OpenStreetMap, a collaborative project to create a free editable map of the world;

• NASA's Shuttle Radar Topography Mission (SRTM) Digital Elevation Database;

• Global Water Surface, a virtual time machine that maps the location and temporal distribution of water surfaces at the global scale.

Die österreichische Basemap, wie man sie noch nie zuvor gesehen hat! Ein QGIS-Projekt, welches nur aus Onlinequellen ein optisch ansprechendes Kartenbild der Basemap, mit Höhenschichtlinien und optionaler Visualisierung von Gelände- und Oberflächendetails in verschiedenen Stilen ermöglicht. Wanderrouten können über waymarkedtrails.org eingebunden werden. Die Darstellung funktioniert auch mit QFIELD auf Mobilgeräten.

Anleitung (Links zu den Anwendungen und QGIS-Projektdatei in der Info): 1.) QGIS/QFIELD Anwendung herunterladen und installieren 2.) QGIS-Projektdatei "Basemap Online.qgz" herunterladen und mit QGIS/QFIELD öffnen 3.) Gewünschten Kartenstil in der QGIS/QFIELD Layeransicht anpassen (siehe Screenshots) 4.) Bei eingeschränkter Bandbreite (z.B. Mobilgerät) die Wanderweg- sowie Orthofoto-Optionen ausschalten und in den Kartenstil-Optionen "geglättet (Landkartenmodus)" wählen. Viel Spaß damit!

Durch Kombination fast aller verfügbaren Offline-Datenquellen österreichischer Geoinformationen mit OpenStreetMap entstehen die noch detaillierteren Karten für den YouTube-Kanal. Details siehe https://www.data.gv.at/katalog/application/97679bfa-9f28-44c3-9347-8df341502e0e

This web map provides a customized vector layer for the world symbolized with a unique "Mid-Century" styled map. It takes its inspiration from the art and advertising of the 1950's with unique fonts. The symbols for cities and capitals have an atomic slant to them. This vector tile layer is built using the same data sources used for the World Topographic Map and other Esri basemaps. The comprehensive map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layer item referenced in this map.Customize this MapBecause this map contains a vector tile layer, you can customize the map to change its content and symbology. You are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. For details on how to customize this map, please refer to the Esri Vector Basemap Reference Document (v2) and vector basemap articles on the ArcGIS Online Blog.This map was designed and created by Cindy Prostak.

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

World Countries Generalized represents generalized boundaries for the countries of the world as of August 2022. The generalized political boundaries improve draw performance and effectiveness at a global or continental level. This layer is best viewed out beyond a scale of 1:5,000,000.This layer's geography was developed by Esri and sourced from Garmin International, Inc., the U.S. Central Intelligence Agency (The World Factbook), and the National Geographic Society for use as a world basemap. It is updated annually as country names or significant borders change.

The Queensland basemap web services are designed for use as a background reference layers in applications where the user’s data will take preference.

This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/Learn more about the Half-Earth Project here and explore highlighted areas of biodiversity here.Happy Mapping! John

This vector tile layer presents the World Topographic Map (with Contours and Hillshade) style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style, including both vector contour lines and vector hillshade. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization and high-resolution display.This is a multisource vector map style. The root.json style file calls three vector tile services to display all the data in the map. The "esri" source contains all the basemap tiles for this layer. The other two sources are "contours" and "hillshade". Click the View style button on right to see the json. The multisource section of this code is shown below."sources": { "esri": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Basemap_v2/VectorTileServer" }, "contours": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Contours_v2/VectorTileServer" }, "hillshade": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Hillshade_v2/VectorTileServer" } },This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Topographic (Vector) web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

Coastline for Antarctica created from various mapping and remote sensing sources, consisting of the following coast types: ice coastline, rock coastline, grounding line, ice shelf and front, ice rumple, and rock against ice shelf. Covering all land and ice shelves south of 60°S. Suitable for topographic mapping and analysis. High resolution versions of ADD data are suitable for scales larger than 1:1,000,000. The largest suitable scale is changeable and dependent on the region.

Major changes in v7.5 include updates to ice shelf fronts in the following regions: Seal Nunataks and Scar Inlet region, the Ronne-Filchner Ice Shelf, between the Brunt Ice Shelf and Riiser-Larsen Peninsula, the Shackleton and Conger ice shelves, and Crosson, Thwaites and Pine Island. Small areas of grounding line and ice coastlines were also updated in some of these regions as needed.

Data compiled, managed and distributed by the Mapping and Geographic Information Centre and the UK Polar Data Centre, British Antarctic Survey on behalf of the Scientific Committee on Antarctic Research.

Further information and useful links

Map projection: WGS84 Antarctic Polar Stereographic, EPSG 3031. Note: by default, opening this layer in the Map Viewer will display the data in Web Mercator. To display this layer in its native projection use an Antarctic basemap.

The currency of this dataset is May 2022 and will be reviewed every 6 months. This feature layer will always reflect the most recent version.

For more information on, and access to other Antarctic Digital Database (ADD) datasets, refer to the SCAR ADD data catalogue.

A related medium resolution dataset is also published via Living Atlas, as well medium and high resolution polygon datasets.

For background information on the ADD project, please see the British Antarctic Survey ADD project page.

Lineage

Dataset compiled from a variety of Antarctic map and satellite image sources. The dataset was created using ArcGIS and QGIS GIS software programmes and has been checked for basic topography and geometry checks, but does not contain strict topology. Quality varies across the dataset and certain areas where high resolution source data were available are suitable for large scale maps whereas other areas are only suitable for smaller scales. Each line has attributes detailing the source which can give the user further indications of its suitability for specific uses. Attributes also give information including 'surface' (e.g. grounding line, ice coastline, ice shelf front) and revision date. Compiled from sources ranging in time from 1990s-2022 - individual lines contain exact source dates.

This data contains an Index identifying Ontario Base Map map tiles. Eastern and Southern Ontario is covered at a scale of 1:10,000. Northern Ontario is covered at a scale of 1:20,000. We are no longer updating this data. It is best suited for historical research and analysis. This product requires the use of GIS software. *[GIS]: geographic information system

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

This vector tile layer presents the World Topographic Map style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with World Hillshade for added context. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Topographic web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers, including Topographic (with Contours and Hillshade) multisource tile layer.Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

This vector tile layer is designed to support exporting small volumes of basemap tiles for offline use. The content of this layer is equivalent to World Topographic Map. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with shaded relief for added context. See World Topographic Map for more details.Use this MapThis vector tile service supporting this layer will enable you to export a small number of tiles in a single request. This layer is not intended to be used to display live map tiles for use in a web map or web mapping application. To display map tiles, please use World Topographic Map.Service Information for DevelopersTo export tiles for World Topographic Map (for Export), you must use the instance of the World_Basemap_Export_v2 service hosted on basemaps.arcgis.com referenced by this layer (see URL in Contents below), which has the Export Tiles operation enabled. This layer is optimized to minimize the size of the download for offline use. Due to this optimization, there are small differences between this layer and the display optimized World_Basemap_v2 service. This layer is intended to support export of basemap tiles for offline use in ArcGIS applications and other applications built with an ArcGIS Runtime SDK.

The Digital Geologic-GIS Map of the Yellowstone National Park and Vicinity, Wyoming, Montana and Idaho is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (yell_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 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. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (yell_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (yell_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (yell_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (yell_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (yell_geology_metadata_faq.pdf). Please read the yell_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. 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). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey and Montana Bureau of Mines and Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (yell_geology_metadata.txt or yell_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 63.5 meters or 208.3 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 Google Earth, ArcGIS, QGIS 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: https://www.nps.gov/articles/gri-geodatabase-model.htm).

A single line street base map representing the city's streets and other linear geographic features, along with feature names and address ranges for each addressable street segment. This dataset includes the Nodes file. The Nodes file contains a point feature and unique NodeID for each node that exists in the LION file. The Node_StreetName.txt file lists the street names associated with those nodes. Most nodes, representing intersections, will have at least 2 street names associated in the Node_StreetName.txt file.

All previously released versions of this data are available at BYTES of the BIG APPLE - Archive.

This multi-resolution, multi-spectral basemap comprises HiRISE, CTX, MOC-NA, and CRISM imagery over the northwest of Aeolis Mons in Gale crater, Mars, to complement the HiRISE and CTX data over Sakarya Vallis (Persaud 2021, https://doi.org/10.5281/zenodo.5808371; Persaud et al. 2021, https://doi.org/10.5281/zenodo.5808357). All of the products have been georeferenced to the CTX ORI mosaic (Persaud et al. 2021) and/or each other using QGIS and GDAL; their IDs, resolutions, and sources prior to this alignment are listed below.

The greyimage ORIs produced in this work were generated using the Ames Stereo Pipeline. The other HiRISE ORI were selected based on the data used by the USGS to make the MSL orthophoto mosaic (Calef III and Parker 2016, https://astrogeology.usgs.gov/search/map/Mars/MarsScienceLaboratory/Mosaics/MSL_Gale_Orthophoto_Mosaic_10m_v3).

The four CRISM images were processed using the CRISM Analysis Tool (CAT) in ENVI (Morgan et al. 2009) following the workflow described in Campbell and Muller (2017), adapted from Seelos (2009). Four RGB products were assembled from one CRISM image over Sakarya Vallis using the spectral library from Viviano-Beck et al. (2014); the band assignments are listed below.

Format: GeoTiff
Projection: Equidistant cylindrical
Datum: Spheroid (r = 3396.190 km)

HiRISE (0.25 m/px)

• ESP_012340_1750_RED, this work
• PSP_009149_1750_RED, this work
• ESP_018854_1755_RED, this work
• ESP_019698_1750_RED, U. Arizona
• ESP_012551_1750_RED, U. Arizona
• ESP_024300_1755_RED, U. Arizona
• PSP_001488_1750_RED, U. Arizona
• PSP_009650_1755_RED, U. Arizona

HiRISE RGB (0.50 m/px):

• ESP_061750_1750_RGB, U. Arizona (mosaicked in this work, "Mont Mercou")
• ESP_069031_1750_MRGB, U. Arizona (mosaicked in this work, "Mont Mercou")
• PSP_009149_1750_MRGB, U. Arizona (mosaicked in this work, "Mont Mercou")
• ESP_029034_1750_MRGB, U. Arizona

MOC-NA (NASA/JPL/MSSS):

• S2200845 (2.2 m/px)
• R1100953 (6.75 m/px)

CRISM, FRT000095ee (18 m/px):

• Hydrated mineralogy
  • Red: SINDEX2
  • Green: BD2100_2
  • Blue: BD1900_2
• Hydrated sulphates (1)
  • Red: SINDEX2
  • Green: BD1900R2
  • Blue: HCPINDEX3
• Mafics
  • Red: LCPINDEX3
  • Green: HCPINDEX3
  • Blue: OLINDEX3
• Hydrated sulphates (2): SINDEX2