README

GEBCO 2025 Global Seafloor Bathymetry

Global terrain model for ocean and land at 15 arc-second intervals (~450m at equator). Sub-ice topography variant — includes bathymetry beneath the Greenland and Antarctic ice sheets. Values are in metres relative to mean sea level; negative = ocean depth, positive = land elevation.

Source: GEBCO 2025 Gridded Bathymetry Data
License: GEBCO Data Licence — free to use with attribution
Citation: GEBCO Compilation Group (2025) GEBCO 2025 Grid (doi:10.5285/8896b933-5744-4bdf-862b-43a76c3f91a8)

Files

File	Description
`gebco-2025-cog.tif`	Cloud-optimized GeoTIFF, 15 arc-sec, EPSG:4326, ~3.3 GB
`gebco-2025/hex/h0=*/data_0.parquet`	H3 resolution 8 hex parquet, mean elevation per cell

DuckDB Example

TiTiler / MapLibre Example

The COG can be visualized via TiTiler:

README

GEBCO 2025 Global Seafloor Bathymetry

Files

File	Description
`gebco-2025-cog.tif`	Cloud-optimized GeoTIFF, 15 arc-sec, EPSG:4326, ~3.3 GB
`gebco-2025/hex/h0=*/data_0.parquet`	H3 resolution 8 hex parquet, mean elevation per cell

DuckDB Example

TiTiler / MapLibre Example

The COG can be visualized via TiTiler:

1https://titiler.xyz/cog/tiles/{z}/{x}/{y}.png
2  ?url=https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025-cog.tif
3  &colormap_name=blues_r
4  &rescale=-6000,0

1https://titiler.xyz/cog/tiles/{z}/{x}/{y}.png
2  ?url=https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025-cog.tif
3  &colormap_name=blues_r
4  &rescale=-6000,0

1INSTALL httpfs; LOAD httpfs;
2
3-- Sample bathymetry near the Mariana Trench (h0 cell covering NW Pacific)
4SELECT
5  h8,
6  elevation as depth_m,
7  h3_cell_to_lat(h8) as lat,
8  h3_cell_to_lng(h8) as lng
9FROM read_parquet('https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025/hex/h0=*/data_0.parquet')
10WHERE elevation < -8000
11ORDER BY elevation
12LIMIT 10;
13
14-- Depth distribution in the high seas (< -200m)
15SELECT
16  FLOOR(elevation / 1000) * 1000 as depth_bin,
17  COUNT(*) as n_cells
18FROM read_parquet('https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025/hex/h0=*/data_0.parquet')
19WHERE elevation < -200
20GROUP BY depth_bin
21ORDER BY depth_bin;

1INSTALL httpfs; LOAD httpfs;
2
3-- Sample bathymetry near the Mariana Trench (h0 cell covering NW Pacific)
4SELECT
5  h8,
6  elevation as depth_m,
7  h3_cell_to_lat(h8) as lat,
8  h3_cell_to_lng(h8) as lng
9FROM read_parquet('https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025/hex/h0=*/data_0.parquet')
10WHERE elevation < -8000
11ORDER BY elevation
12LIMIT 10;
13
14-- Depth distribution in the high seas (< -200m)
15SELECT
16  FLOOR(elevation / 1000) * 1000 as depth_bin,
17  COUNT(*) as n_cells
18FROM read_parquet('https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025/hex/h0=*/data_0.parquet')
19WHERE elevation < -200
20GROUP BY depth_bin
21ORDER BY depth_bin;

1map.addSource('gebco', {
2  type: 'raster',
3  tiles: [
4    'https://titiler.xyz/cog/tiles/{z}/{x}/{y}.png' +
5    '?url=https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025-cog.tif' +
6    '&colormap_name=blues_r&rescale=-6000,0'
7  ],
8  tileSize: 256
9});
10map.addLayer({
11  id: 'gebco-bathymetry',
12  type: 'raster',
13  source: 'gebco'
14});

1map.addSource('gebco', {
2  type: 'raster',
3  tiles: [
4    'https://titiler.xyz/cog/tiles/{z}/{x}/{y}.png' +
5    '?url=https://s3-west.nrp-nautilus.io/public-high-seas/gebco-2025-cog.tif' +
6    '&colormap_name=blues_r&rescale=-6000,0'
7  ],
8  tileSize: 256
9});
10map.addLayer({
11  id: 'gebco-bathymetry',
12  type: 'raster',
13  source: 'gebco'
14});

GEBCO 2025 Global Seafloor Bathymetry

Files

DuckDB Example

TiTiler / MapLibre Example

Global Fishing Watch Annual Fishing Effort v3 (2012–2024)

GEBCO 2025 Global Seafloor Bathymetry

Files

DuckDB Example

TiTiler / MapLibre Example