GEBCO Bathymetry Data

GEBCO (General Bathymetric Chart of the Oceans) 2026 global bathymetric data in Cloud Optimized GeoTIFF (COG) format for GIS analysis and web mapping applications.

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README.md

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Visibility: Public
Owner: Qiusheng Wu
Created: 12 Jul 2026
Last Updated: 12 Jul 2026

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GEBCO Bathymetry Data

GEBCO (General Bathymetric Chart of the Oceans) 2026 global bathymetric data in Cloud Optimized GeoTIFF (COG) format for GIS analysis and web mapping applications.

Contents

root

README.md

Details

Visibility: Public
Owner: Qiusheng Wu
Created: 12 Jul 2026
Last Updated: 12 Jul 2026

Analytics

28 days

Downloads

6,497

Data served

119.1 GB

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28-day downloads

10 Jul 2026

6 Aug 2026

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GEBCO 2026 Global Bathymetric Datasets

This directory contains processed GEBCO (General Bathymetric Chart of the Oceans) 2026 global bathymetric data in Cloud Optimized GeoTIFF (COG) format for GIS analysis and web mapping applications.

Datasets

1. GEBCO 2026 Grid (`gebco_2026_geotiff/`)

Global terrain model for ocean and land with a 15 arc-second resolution grid.

Contents:

gebco_2026.tif - Global mosaic COG (4.4GB)
gebco_2026_webmerc.tif - Web Mercator clipped version (-85° to 85°, 4.1GB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int16 (elevation/bathymetry in meters) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

2. GEBCO 2026 TID Grid (`gebco_2026_tid_geotiff/`)

Type Identifier (TID) grid indicating data source and quality for each grid cell.

Contents:

gebco_2026_tid.tif - Global mosaic COG (212MB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int8 (categorical source identifiers) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

TID Values:

0: Land
10-39: Direct measurements (soundings, multibeam, etc.)
40-49: Indirect measurements (satellite altimetry, interpolation)
50-59: Predicted depths
60-69: Interpolated depths
70-89: Other sources

3. GEBCO 2026 Sub-Ice Topography (`gebco_2026_sub_ice_topo_geotiff/`)

Bedrock elevation beneath ice sheets (Antarctica and Greenland).

Contents:

gebco_2026_sub_ice.tif - Global mosaic COG (4.5GB)
gebco_2026_sub_ice_webmerc.tif - Web Mercator clipped version (-85° to 85°, 4.2GB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int16 (elevation in meters below ice) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

File Formats

Cloud Optimized GeoTIFF (COG)

Compression: DEFLATE
Tiling: 512x512 pixels (internal)
Projection: WGS84 Geographic (EPSG:4326)
Optimization: Optimized for HTTP range requests, cloud-based streaming, and web applications
Web Mercator versions: Pre-clipped to ±85° latitude for web mapping compatibility

Usage

Using COG Files

QGIS/ArcGIS:

Simply drag and drop the .tif files into your GIS application

Python (rasterio):

GDAL:

Using COG Files with MapLibre GL and TiTiler

Option 1: Using TiTiler (Recommended for Web Mapping)

1. Install and run TiTiler:

2. Serve COG files via HTTP (optional):

3. Add to MapLibre GL:

Option 2: Using PMTiles (Pre-generated Tiles)

Generate PMTiles from COG for static hosting:

Data Source and Citation

Source

The GEBCO_2026 Grid is produced by the General Bathymetric Chart of the Oceans (GEBCO) and is derived from a diverse range of datasets including:

Satellite altimetry
Multibeam and single-beam echo soundings
Gravity data
Seismic data
Regional bathymetric compilations
Ice sheet bedrock mapping (BedMachine for Antarctica and Greenland)

Citation

When using GEBCO data, please cite:

GEBCO Compilation Group (2026) GEBCO 2026 Grid (doi:10.5285/XXX-XXX-XXX)

For the sub-ice topography:

Morlighem, M. et al. (2020) "Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet", Nature Geoscience, 13, 132-137. doi:10.1038/s41561-019-0510-8

Morlighem, M. et al. (2017) "BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation", Geophysical Research Letters, 44, 11,051-11,061. doi:10.1002/2017GL074954

License

GEBCO data products are released under the GEBCO Data License.

More Information

GEBCO Website: https://www.gebco.net/
GEBCO Grid Documentation: https://www.gebco.net/data_and_products/gridded_bathymetry_data/
Download Portal: https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2026/

Processing Information

Original Format: GeoTIFF Processing Date: July 12, 2026 Processing Steps:

Downloaded from GEBCO as regional tiles (8 quadrants)
Converted to Cloud Optimized GeoTIFF with DEFLATE compression
Mosaicked regional tiles into global datasets
Created Web Mercator clipped versions for web mapping applications

Tools Used:

GDAL 3.x (gdal_translate, gdalwarp, gdalbuildvrt)
Python geospatial stack (rasterio, gdal)

File Sizes

Dataset	Global COG	Web Mercator COG	Regional Tiles (8 files)
GEBCO 2026	4.4 GB	4.1 GB	~4.3 GB
GEBCO TID	212 MB	N/A	~216 MB
Sub-Ice Topo	4.5 GB	4.2 GB	~4.5 GB

Notes

The TID grid is not suitable for terrain visualization (categorical data)
Web Mercator versions are clipped to ±85° latitude (standard Web Mercator bounds)
Negative values represent depths below sea level
Positive values represent elevations above sea level
Sub-ice topography shows bedrock beneath ice sheets, not ice surface elevation
For web mapping applications, use TiTiler or similar dynamic tile servers to serve COG files
Pre-generating terrain tiles (MBTiles/PMTiles) creates very large files (65+ GB) and is not recommended unless necessary

Contact

For questions about this processed dataset, please contact the data maintainer. For questions about the source GEBCO data, visit: https://www.gebco.net/about_us/contact_us/

Name: README.md
Size: 6.98 KB
Content Type: text/markdown
Last Modified: 12 Jul 2026
Source URL: https://data.source.coop/giswqs/gebco-bathymetry/README.md
Cloud URI: s3://us-east-1.opendata.source.coop/giswqs/gebco-bathymetry/README.md

Download

GEBCO 2026 Global Bathymetric Datasets

This directory contains processed GEBCO (General Bathymetric Chart of the Oceans) 2026 global bathymetric data in Cloud Optimized GeoTIFF (COG) format for GIS analysis and web mapping applications.

Datasets

1. GEBCO 2026 Grid (`gebco_2026_geotiff/`)

Global terrain model for ocean and land with a 15 arc-second resolution grid.

Contents:

gebco_2026.tif - Global mosaic COG (4.4GB)
gebco_2026_webmerc.tif - Web Mercator clipped version (-85° to 85°, 4.1GB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int16 (elevation/bathymetry in meters) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

2. GEBCO 2026 TID Grid (`gebco_2026_tid_geotiff/`)

Type Identifier (TID) grid indicating data source and quality for each grid cell.

Contents:

gebco_2026_tid.tif - Global mosaic COG (212MB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int8 (categorical source identifiers) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

TID Values:

0: Land
10-39: Direct measurements (soundings, multibeam, etc.)
40-49: Indirect measurements (satellite altimetry, interpolation)
50-59: Predicted depths
60-69: Interpolated depths
70-89: Other sources

3. GEBCO 2026 Sub-Ice Topography (`gebco_2026_sub_ice_topo_geotiff/`)

Bedrock elevation beneath ice sheets (Antarctica and Greenland).

Contents:

gebco_2026_sub_ice.tif - Global mosaic COG (4.5GB)
gebco_2026_sub_ice_webmerc.tif - Web Mercator clipped version (-85° to 85°, 4.2GB)
Regional tiles: 8 COG files covering global quadrants

Data Type: Int16 (elevation in meters below ice) Coverage: Global (-180° to 180°, -90° to 90°) Resolution: ~450m at the equator (15 arc-seconds)

File Formats

Cloud Optimized GeoTIFF (COG)

Compression: DEFLATE
Tiling: 512x512 pixels (internal)
Projection: WGS84 Geographic (EPSG:4326)
Optimization: Optimized for HTTP range requests, cloud-based streaming, and web applications
Web Mercator versions: Pre-clipped to ±85° latitude for web mapping compatibility

Usage

Using COG Files

QGIS/ArcGIS:

Simply drag and drop the .tif files into your GIS application

Python (rasterio):

GDAL:

Using COG Files with MapLibre GL and TiTiler

Option 1: Using TiTiler (Recommended for Web Mapping)

1. Install and run TiTiler:

2. Serve COG files via HTTP (optional):

3. Add to MapLibre GL:

Option 2: Using PMTiles (Pre-generated Tiles)

Generate PMTiles from COG for static hosting:

Data Source and Citation

Source

The GEBCO_2026 Grid is produced by the General Bathymetric Chart of the Oceans (GEBCO) and is derived from a diverse range of datasets including:

Satellite altimetry
Multibeam and single-beam echo soundings
Gravity data
Seismic data
Regional bathymetric compilations
Ice sheet bedrock mapping (BedMachine for Antarctica and Greenland)

Citation

When using GEBCO data, please cite:

GEBCO Compilation Group (2026) GEBCO 2026 Grid (doi:10.5285/XXX-XXX-XXX)

For the sub-ice topography:

Morlighem, M. et al. (2020) "Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet", Nature Geoscience, 13, 132-137. doi:10.1038/s41561-019-0510-8

Morlighem, M. et al. (2017) "BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multibeam echo sounding combined with mass conservation", Geophysical Research Letters, 44, 11,051-11,061. doi:10.1002/2017GL074954

License

GEBCO data products are released under the GEBCO Data License.

More Information

GEBCO Website: https://www.gebco.net/
GEBCO Grid Documentation: https://www.gebco.net/data_and_products/gridded_bathymetry_data/
Download Portal: https://www.gebco.net/data_and_products/gridded_bathymetry_data/gebco_2026/

Processing Information

Original Format: GeoTIFF Processing Date: July 12, 2026 Processing Steps:

Downloaded from GEBCO as regional tiles (8 quadrants)
Converted to Cloud Optimized GeoTIFF with DEFLATE compression
Mosaicked regional tiles into global datasets
Created Web Mercator clipped versions for web mapping applications

Tools Used:

GDAL 3.x (gdal_translate, gdalwarp, gdalbuildvrt)
Python geospatial stack (rasterio, gdal)

File Sizes

Dataset	Global COG	Web Mercator COG	Regional Tiles (8 files)
GEBCO 2026	4.4 GB	4.1 GB	~4.3 GB
GEBCO TID	212 MB	N/A	~216 MB
Sub-Ice Topo	4.5 GB	4.2 GB	~4.5 GB

Notes

The TID grid is not suitable for terrain visualization (categorical data)
Web Mercator versions are clipped to ±85° latitude (standard Web Mercator bounds)
Negative values represent depths below sea level
Positive values represent elevations above sea level
Sub-ice topography shows bedrock beneath ice sheets, not ice surface elevation
For web mapping applications, use TiTiler or similar dynamic tile servers to serve COG files
Pre-generating terrain tiles (MBTiles/PMTiles) creates very large files (65+ GB) and is not recommended unless necessary

Contact

For questions about this processed dataset, please contact the data maintainer. For questions about the source GEBCO data, visit: https://www.gebco.net/about_us/contact_us/

1import rasterio
2
3with rasterio.open('gebco_2026_geotiff/gebco_2026.tif') as src:
4    elevation = src.read(1)
5    bounds = src.bounds

1import rasterio
2
3with rasterio.open('gebco_2026_geotiff/gebco_2026.tif') as src:
4    elevation = src.read(1)
5    bounds = src.bounds

1gdalinfo gebco_2026_geotiff/gebco_2026.tif

1gdalinfo gebco_2026_geotiff/gebco_2026.tif

1# Using Docker
2docker run -p 8000:8000 ghcr.io/developmentseed/titiler:latest
3
4# Or install with pip
5pip install titiler
6uvicorn titiler.application.main:app --host 0.0.0.0 --port 8000

1# Using Docker
2docker run -p 8000:8000 ghcr.io/developmentseed/titiler:latest
3
4# Or install with pip
5pip install titiler
6uvicorn titiler.application.main:app --host 0.0.0.0 --port 8000

1# Simple HTTP server for local COG files
2python -m http.server 8080

1# Simple HTTP server for local COG files
2python -m http.server 8080

1# Install rio-rgbify
2pip install rio-rgbify
3
4# Generate terrain tiles (warning: creates large files)
5rio rgbify -b -12000 -i 0.1 --min-z 0 --max-z 8 \
6  --format pmtiles \
7  gebco_2026_geotiff/gebco_2026_webmerc.tif \
8  gebco_2026_terrain.pmtiles

1# Install rio-rgbify
2pip install rio-rgbify
3
4# Generate terrain tiles (warning: creates large files)
5rio rgbify -b -12000 -i 0.1 --min-z 0 --max-z 8 \
6  --format pmtiles \
7  gebco_2026_geotiff/gebco_2026_webmerc.tif \
8  gebco_2026_terrain.pmtiles

1const map = new maplibregl.Map({
2    container: 'map',
3    style: 'your-style.json',
4    center: [0, 0],
5    zoom: 2
6});
7
8map.on('load', () => {
9    // Using TiTiler for dynamic terrain tiles
10    const cogUrl = 'http://localhost:8080/gebco_2026_geotiff/gebco_2026_webmerc.tif';
11
12    map.addSource('gebco-terrain', {
13        type: 'raster-dem',
14        tiles: [`http://localhost:8000/cog/tiles/{z}/{x}/{y}?url=${cogUrl}&rescale=-11000,9000`],
15        tileSize: 256,
16        encoding: 'terrarium'
17    });
18
19    // Enable 3D terrain
20    map.setTerrain({
21        source: 'gebco-terrain',
22        exaggeration: 1.5
23    });
24
25    // Add hillshading
26    map.addLayer({
27        id: 'hillshading',
28        source: 'gebco-terrain',
29        type: 'hillshade'
30    });
31});

1const map = new maplibregl.Map({
2    container: 'map',
3    style: 'your-style.json',
4    center: [0, 0],
5    zoom: 2
6});
7
8map.on('load', () => {
9    // Using TiTiler for dynamic terrain tiles
10    const cogUrl = 'http://localhost:8080/gebco_2026_geotiff/gebco_2026_webmerc.tif';
11
12    map.addSource('gebco-terrain', {
13        type: 'raster-dem',
14        tiles: [`http://localhost:8000/cog/tiles/{z}/{x}/{y}?url=${cogUrl}&rescale=-11000,9000`],
15        tileSize: 256,
16        encoding: 'terrarium'
17    });
18
19    // Enable 3D terrain
20    map.setTerrain({
21        source: 'gebco-terrain',
22        exaggeration: 1.5
23    });
24
25    // Add hillshading
26    map.addLayer({
27        id: 'hillshading',
28        source: 'gebco-terrain',
29        type: 'hillshade'
30    });
31});

GEBCO Bathymetry Data

GEBCO Bathymetry Data

GEBCO 2026 Global Bathymetric Datasets

Datasets

1. GEBCO 2026 Grid (gebco_2026_geotiff/)

2. GEBCO 2026 TID Grid (gebco_2026_tid_geotiff/)

3. GEBCO 2026 Sub-Ice Topography (gebco_2026_sub_ice_topo_geotiff/)

File Formats

Cloud Optimized GeoTIFF (COG)

Usage

Using COG Files

Using COG Files with MapLibre GL and TiTiler

Data Source and Citation

Source

Citation

License

More Information

Processing Information

File Sizes

Notes

Contact

GEBCO 2026 Global Bathymetric Datasets

Datasets

1. GEBCO 2026 Grid (gebco_2026_geotiff/)

2. GEBCO 2026 TID Grid (gebco_2026_tid_geotiff/)

3. GEBCO 2026 Sub-Ice Topography (gebco_2026_sub_ice_topo_geotiff/)

File Formats

Cloud Optimized GeoTIFF (COG)

Usage

Using COG Files

Using COG Files with MapLibre GL and TiTiler

Data Source and Citation

Source

Citation

License

More Information

Processing Information

File Sizes

Notes

Contact

1. GEBCO 2026 Grid (`gebco_2026_geotiff/`)

2. GEBCO 2026 TID Grid (`gebco_2026_tid_geotiff/`)

3. GEBCO 2026 Sub-Ice Topography (`gebco_2026_sub_ice_topo_geotiff/`)

1. GEBCO 2026 Grid (`gebco_2026_geotiff/`)

2. GEBCO 2026 TID Grid (`gebco_2026_tid_geotiff/`)

3. GEBCO 2026 Sub-Ice Topography (`gebco_2026_sub_ice_topo_geotiff/`)