The base map consists of the city’s basic geographical information and has the highest level of detail used in the urban development area as a whole. The map is also used outside the city’s activities in areas such as planning and planning. By providing the base map as open data, the city opens up for wider use and the possibility of new innovative applications.ContentBasic map includes:

BuildingsCommunicationMarket useAddressesRegistermap (property limits and rights, etc.) The information in the register map has no legal effect and may be poorly accurate. In case of exact information requirements, verification should be carried out on the basis of decision documents.AtkomstBaskartan is downloaded via http://kartor.helsingborg.se/oppnageodata/baskarta.phpFormat and object modelThe map is delivered as a zip file containing one GeoJSON file per object type. Coordinate system is SWEREF99 13 30. The files are a direct export from the Helsingborg City Planning Administration’s database and are named as follows:

Object types sometimes have attributes that come from domains. Then a value can be represented in a digit instead of saving a string over and over again. During export we have exploded the domains with the suffix “_resolved” so that they can still be seen in plain text.“PURPOSE”:10, “PURPOSE_resolved”:“Småhus — detached”

The tables in the theme “Registration map” have a specific title in two letters. Exempel:Registerkarta AQIn order to understand the contents of those tables, it may help to examine the attribute “dep” where a more readable description is given. Complete documentation on the registry map is currently missing. However, Lantmäteriet provides similar products where table names exist. Please see exempel:https://www.lantmateriet.se/globalassets/kartor-oc...MetadataEn mapping to translate table names into English can be found here. Structure:[{“Geo object class”:“Facility, point”, “Geo object class English”:“MAPCONSTRUCTIONP”},... ]

Refresh rate The zip file is updated weekly, the night between Saturday and Sunday. In the zip file there is a folder metadata. In it is readme.txt which contains a date stamp that tells you when the actual export was made.

FAQ base map

How can I look at the map without any specific program? Download the zip file and unpack it. Search “GeoJSON viewer” in your browser. For example, http://www.mapshaper.org/. Drag in and drop a GeoJSON file to view it.

Can I use the base map in my CAD system?Plugin/app is available to Autodesk. https://apps.autodesk.com/ACD/en/Detail/Index?id=5...

Can I use the base map in my GIS? QGIS has good support for GeoJSON. ArcMap requires Data Interopability add-on. FME can read and convert.

Can I convert GeoJSON to shape? Several free services are available to convert to shape. Among others, http://www.mapshaper.org/.

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 (01-data/World_AIMS_Marine-satellite-imagery in the data download) 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.


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.

World_AIMS_Marine-satellite-imagery
The base image composites used in this dataset were based on an early version of Lawrey, E., Hammerton, M. (2024). Marine satellite imagery test collections (AIMS) [Data set]. eAtlas. https://doi.org/10.26274/zq26-a956. A snapshot of the code at the time this dataset was developed is made available in the 01-data/World_AIMS_Marine-satellite-imagery folder of the download of this dataset.


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.


Change Log:
2025-05-12: Eric Lawrey
Added Torres-Strait-Region-Map-Masig-Ugar-Erub-45k-A0 and Torres-Strait-Eastern-Region-Map-Landscape-A0. These maps have a brighten satellite imagery to allow easier reading of writing on the maps. They also include markers for geo-referencing the maps for digitisation.

2025-02-04: Eric Lawrey
Fixed up the reference to the World_AIMS_Marine-satellite-imagery dataset, clarifying where the source that was used in this dataset. Added ORCID and RORs to the record.

2023-11-22: 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.

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.

The Bright Earth eAtlas Basemap dataset collection is a satellite-derived global map of the world at a 1:1M scale for most of the world and 1:200k scale for Australia. This map was inspired by Natural Earth II (NEII) and NASA's Blue Marble Next Generation (BMNG) imagery.

Its aim was to provide a basemap similar to NEII but with a higher resolution (~10x).

This basemap is derived from the following datasets: Blue Marble Next Generation 2004-04 (NASA), VMap0 coastline, Coast100k 2004 Australian coastline (GeoScience Australia), SRTM30 Plus v8.0 (UCSD) hillshading, Natural Earth Vector 10m bathymetry and coastline v2.0 (NE), gbr100 hillshading (JCU).

This dataset (World_Bright-Earth-e-Atlas-basemap) contains all the files required to setup the Bright Earth eAtlas basemap in a GeoServer. All the data files are stored in GeoTiffs or shapefiles and so can also be loaded into ArcMap, however no styling has been included for this purpose.

This basemap is small enough (~900 MB) that can be readily used locally or deployed to a GeoServer.

Base map aesthetics (added 28 Jan 2025)

The Bright Earth e-Atlas Basemap is a high-resolution representation of the Earth's surface, designed to depict global geography with clarity, natural aesthetics with bright and soft color tones that enhance data overlays without overwhelming the viewer. The land areas are based on NASA's Blue Marble imagery, with modifications to lighten the tone and apply noise reduction filtering to soften the overall coloring. The original Blue Marble imagery was based on composite satellite imagery resulting in a visually appealing and clean map that highlights natural features while maintaining clarity and readability. Hillshading has been applied across the landmasses to enhance detail and texture, bringing out the relief of mountainous regions, plateaus, and other landforms.

The oceans feature three distinct depth bands to illustrate shallow continental areas, deeper open ocean zones, and the very deep trenches and basins. The colors transition from light blue in shallow areas to darker shades in deeper regions, giving a clear sense of bathymetric variation. Hillshading has also been applied to the oceans to highlight finer structures on the seafloor, such as ridges, trenches, and other geological features, adding depth and dimensionality to the depiction of underwater topography.

At higher zoom levels prominent cities are shown and the large scale roads are shown for Australia.

Rendered Raster Version (added 28 Jan 2025)

A low resolution version of the dataset is available as a raster file (PNG, JPG and GeoTiff) at ~2 km and 4 km resolutions. These rasters are useful for applications where GeoServer is not available to render the data dynamically. While the rasters are large they represent a small fraction of the full detail of the dataset. The rastered version was produced using the layout manager in QGIS to render maps of the whole world, pulling the imagery from the eAtlas GeoServer. This imagery from converted to the various formats using GDAL. More detail is provided in 'Rendered-bright-earth-processing.txt' in the download and browse section.

Change Log 2025-01-28: Added two rendered raster versions of the dataset at 21600x10800 and 10400x5400 pixels in size in PNG, JPG and GeoTiff format. Added

The Mid-Century Map (World Edition) web map provides a customized world basemap symbolized with a unique "Mid-Century" style. 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. The map data includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries.This basemap, included in the ArcGIS Living Atlas of the World, uses the Mid-Century vector tile layer.The vector tile layer in this web map 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.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 referenced in this map.

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 dataset part of the Geology and Planetary Mapping Winter School 2022 featuring Beagle Rupes as a study area.
Beagle Rupes is lobate scarp at Mercurys surface with a length of more than 600km cross-cutting an oval shaped crater.
We compiled a beginners – intermediate level training package for the area. The package includes several basemaps such as Map Projected Basemap Reduced Data Record (BDR) (Hash 2013a), High-incidence East-illumination Basemap (HIE), Map-projected High-incidence West-illumination (HIW) (Hash 2015a), Map Projected Low-Incidence Angle Basemap Reduced Data Record (LOI) (Hash 2013b), Map Projected Multispectral Reduced Data Record (MDR) Hash 2015b) and digital terrain model (DTM) (Becker et al., 2016). The data is cut to the area of interest and a training project is set up for QGIS.

The training package is designed as a group exercise with four adjacent tiles covering the Beagle Rupes area.

The Canada Basemap – Transportation (CBMT) is a vector tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from multiple datasets. - Topographic data of Canada - CanVec Series. - “Automatically Extracted Buildings” GeoBase (a raw digital product in vector format automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources). - Open Street Map (OSM) data available under the Open Database License (https://www.openstreetmap.org/copyright). - Official names from the Canadian Geographical Names Database (CGNDB). Geographic Coverage: CBMT has complete coverage of the world, with full datasets in Canada and only partial data in other parts of the world including boundaries, Country Names, and major cities. Data Update Frequency: Updates are applied monthly to reflect the latest updates in the source datasets. Projection: Data is provided in the EPSG:3857 (WGS84 Pseudo-Mercator) projected coordinate system. Layer Access: - CBMT is accessible via the ArcGIS Online item link with the applied style or it can also be accessed directly with the default style using the following Vector Tile Server: https://tiles.arcgis.com/tiles/HsjBaDykC1mjhXz9/arcgis/rest/services/CBMT_CBCT_3857_V_OSM/VectorTileServer - In QGIS or other applications that require the style JSON, the following link can be used: https://arcgis.com/sharing/rest/content/items/800d755712e8415aab301b9d55bc2800/resources/styles/root.json Use Cases: This layer is suitable for use in any map as a basemap layer and can be modified to meet the needs of the project by editing the JSON style in the Vector Tile Style editor. Additional Versions: - A geometry-only version (CBMT3857GEOM) and a text-only version (CBMT3857TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport 3857 V (CBCT3857).

We compiled a training package focused on Lermontov crater (Mercury).

The dataset includes two MESSENGER Mercury Dual Imaging System (MDIS) basemaps: the Map Projected Basemap Reduced Data Record (BDR) mosaic, and the Basemap Enhanced Color mosaic. Both the mosaics were cut to the area of Lermontov crater. Moreover, four Narrow Angle Camera (NAC) images of Lermontov crater floor are included.

The NSW Base Map Web Service depicts a map of New South Wales (NSW) using layers from the Digital Topographic Database, the Geocoded Urban and Rural Addressing System database and the Digital Cadastral Database. This base map includes: Roads, Points of Interest, Localities, Landform, Drainage, Cultural data, Parks and forests, Property boundaries and Street address numbers.

Vector tile card based on the Mabpbox Vector Tiles (mvt) format (EPSG:3857). Background card in variants color (standard), grey and available as QGIS style. Integration designed for Mapbox/Maplibre clients or QGIS (QGIS style).

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.

Spatial dataset derived from many different open data repositories and cropped on the Zambezi River Basin boundary, used to create a base-map describing the components of Water-Energy-Food nexus in the case study. zambezi.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 Zambezi river (case study boundary) subbasin: Basins of the main tributaries of the Zambezi River waterbodies: Natural lakes and reservoirs boundaries rivers: River network stations: Streamflow, Water level and Rainfall Gauging stations dams: Existing dams wetlands: Wetlands 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: DEM_1km: 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 includes: 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; ZAMWIS, a management information system for the Zambezi River Basin; 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.

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

This guide helps iwi, hapū and whānau set up a simple offline GIS on your computer. The dataset and mapping layers cover all mainland areas of Aotearoa. You can install free tools, download the Matawhenua starter package, open the supplied QGIS project, add LINZ basemaps, and create local copies for your own rohe.This toolset lets you maintain complete data sovereignty. All data is stored on your computer and no one else can access it. The software and data are free and ready to use. There are no licence fees or ongoing costs.You keep control of your kōrero and decide what to share, when, and with whom. No cloud storage or accounts are required. The datasets are current as at August 2025 and do not update automatically.

Vector tile Karte basierend auf dem Mabpbox Vector Tiles (mvt) Format (EPSG:3857). Hintergrund Karte in den Varianten Farbe (Standard), Grau und als QGIS Stil vorhanden. Integration ausgelegt für Mapbox/Maplibre Clients bzw. QGIS (QGIS Stil).