20220804
11284100
1.0
TRUE
TRUE
NameLimitOceansSeas
This dataset is a vector map of the limits of oceans and seas that we constructed based on the document S-23 Limits of Oceans and Seas published by the International Hydrographic Organization (IHO). We used the third edition of this text (1953), the one still officially in force. The main innovations of our map are its accuracy, precision (ca. 10 seconds of meridian arc), and consistency with other global datasets, such as the GSHHS database and satellite imagery from LANDSAT and MODIS.
Details of map construction and remaining uncertainties are available here.
Limits of oceans and seas as described in : Limits of Oceans and Seas, 3rd edition, IHO, 1953.
Constructed with geodesic lines and loxodromes and merged with GSHHS 2.1.0 shoreline (Wessel & Smith 1996).
All details in : Damien Fourcy and Olivier Lorvelec (2012). A New Digital Map of Limits of Oceans and Seas Consistent with High-Resolution Global Shorelines. Journal of Coastal Research, In-Press.
doi: http://dx.doi.org/10.2112/JCOASTRES-D-12-00079.1
Comments about this map are welcome (please send to damien.fourcy@rennes.inra.fr).
IHO
oceans
seas
High-Resolution Map of Limits of Oceans and Seas (HRMLOS)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