Bathymetry Data For Atlantic Ocean For Download
Download Bathymetry
GEBCO 2021
The same as for the 2019 dataset.
Download GEBCO 2021 derived raster classification
Download GEBCO 2021 derived profile lines
Download GEBCO 2021 derived profile polys (updated 24.01.2022)
Attributation: Derived product from the GEBCO 2021 Grid, made with NaturalEarth
by OpenDEM
Download GEBCO 2021 derived contour lines clipped by OpenStreetMap h2o polygons (appointment: 14.07.2021)
Download GEBCO 2021 derived profile polys clipped by OpenStreetMap h2o polygons (updated 24.01.2022)
The data was dissever in 32 parts for processing reasons.
Attributation: Copyright 2021 OpenStreetMap contributors and GEBCO 2021 Grid (derived product). Available under the Open up Database License (ODbL).
WMS (Raster & Contours clipped by NaturalEarth):
https://www.opendem.info/geoserver/opendem/wms
Layers: opendem:gebco_2021_contours & opendem:gebco_2021
Processing Polygons
For processing reasons, the dataset was split before processing in 32 parts. The processing was washed with gdal:
gdal_contour -P -amin amin -amax amax -i 500 -fl -12000 -9500 -9000 -8500 -8000 -7500 -7000 -6500 -6000 -5500 -5000 -4500 -4000 -3500 -3000 -2500 -2000 -1750 -1500 -1250 -1000 -750 -500 -250 -200 -100 -50 -25 input.tif output.shp
Be enlightened that for the class -12000 - -9500 amin is shown as 0 and not -12000 subsequently the processing. Of course, this was corrected later manually.
The dataset was clipped with ogr2ogr –clipdst to the Ocean dataset from Natural Globe or OSM H2o polygons.
Be enlightened that processing lines and contours with gdal_contours do not always come to the same results:
GEBCO 2019
The GEBCO 2019 dataset is now placed in the "public domain", but please read the terms of utilize carefully.
Resultion is 15-arc now, which is about 460 thousand at the equator at sea level. Therefore the datasets are not suitable for visualisation at large scales.
According to Tobler´south dominion: Map Calibration = Raster resolution (in meters) * ii * 1000 = 1:920.000 (Zoom Level 9)
Download GEBCO 2019 derived raster nomenclature
Download GEBCO 2019 derived contour lines
Attributation: Derived product from the GEBCO 2019 Grid, made with NaturalEarth
past OpenDEM
Processing Raster Clasification
The original GEBCO dataset was reduced to integer values with gdal_translate -ot Int16 and then classified with GRASS GIS r.reclas. See the parameters at the lesser of this page. The dataset was clipped with gdalwarp -cutline to the Ocean dataset from Natural Earth.
Processing Contour Lines
The original GEBCO dataset was reduced to integer values with gdal_translate -ot Int16. Contours were derived with gdal_contour. The dataset was clipped with ogr2ogr –clipdst to the Ocean dataset from Natural World. For functioning reasons the countours were split with the QGIS SAGA tool Split line with lines in a 10 degree fishnet.
Be aware that the ogr2ogr clipping is a litte tricky (run into that mail). Successful was this command:
ogr2ogr -nlt LINESTRING -skipfailures -spat -ninety.0 -45.0 -45.0 -90.0 -clipsrc -90.0 -45.0 -45.0 -ninety.0 output.shp input.shp
You can see the visualisation of the datasets here. There is likewise a WMS available:
https://world wide web.opendem.info/geoserver/opendem/wms
Layers: opendem:gebco_2019_contours & opendem:gebco_2019
The showtime Form -ane to - 25 metres is at that place non rendered, because there were to much intersections with the applied Natural Earth countries. When a raster is clipped with gdalwarp -cutline the cell is clipped when the center point of the prison cell is within the polygon. Therefore all the same intersections with the land tiles tin occur.
GEBCO 2014
The information was derived for OpenSeaMap from the GEBCO_2014 Grid, version 20141103 world wide web.gebco.net, and has use limitations:
"Use of the printed map and/or digital imagery for scientific research, environmental conservation, pedagogy or other non-commercial purposes is authorised without the prior permission of the data set originators, providing the source material is properly credited."
Please credit the source properly.
The resolution of the GEBCO 2014 dataset is 30-arc seconds.
Fig. 1: Strait of Gibraltarwith the downloadable bathymetry data. OSM tiles as groundwork.
Bathymetry Polygons Download
Bathymetry Contours Download
SLD Polygons Download
A bicubic interpolation of the gebco data was done by the factor 3.
The data was clipped with the OSM landtiles to avoid overlapping.
The data was classified on base of the depth values:
-1 thru -24.99 = i
-25 thru -49.99 = 2
-50 thru -99.99 = 3
-100 thru -249.99 = 4
-250 thru -499.99 = five
-500 thru -749.99 = half dozen
-750 thru -999.99 = seven
-grand thru -1249.99 = 8
-1250 thru -1499.99 = 9
-1500 thru -1749.99 = 10
-1750 thru -1999.99 = eleven
-2000 thru -2499.99 = 12
-2500 thru -2999.99 = 13
-3000 thru -3499.99 = 14
-3500 thru -3999.99 = 15
-4000 thru -4499.99 = xvi
-4500 thru -4999.99 = 17
-5000 thru -5499.99 = 18
-5500 thru -5999.99 = nineteen
-6000 thru -6499.99 = 20
-6500 thru -6999.99 = 21
-7000 thru -7499.99 = 22
-7500 thru -7999.99 = 23
-8000 thru -8499.99 = 24
-8500 thru -8999.99 = 25
-9000 thru -9499.99 = 26
-9500 thru -12000 = 27
Polygons were computed and splitted for a better functioning.
Contours were derived.
DOWNLOAD HERE
Posted by: manuelthatinat.blogspot.com
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