FormaTerre
Coastal topo-bathymetric DEM of Tahiti
The coastal topo-bathymetric DEM of Tahiti with a resolution of 0.0002° (~ 20 m) was produced by the Shom for Météo-France (Inter-regional Direction in French Polynesia).
This DEM covers the Tahiti lagoons down to the 100 m isobath, in order to meet the need for modeling marine submersions in French Polynesia. It complements the bathymetric DEM of Tahiti and Moorea, with a resolution of 0.001° (~ 100 m).
This product is available at different vertical references, either the lowest astronomical tide (LAT) or the mean sea level (MSL).
Simple
- Date (Revision)
- 2023-12-12
- Edition
-
Edition 2.0
- Citation identifier
- http://www.shom.fr/BATHYMETRIE/MNT_COTIER_TAHITI_METEO-FRANCE_20m_WGS84
- Presentation form
- Digital map
- Credit
-
©Shom
- Status
- On going
- Maintenance and update frequency
- Not planned
- Theme
-
-
Bathymetry
-
Digital Elevation Model
-
Open data
-
Product
-
- Place
-
-
Polynésie Française
-
Pacifique
-
- Discipline
-
-
Geophysic
-
- Use limitation
-
Data may be freely used providing that the source is mentioned as follows : "Shom, 2023. MNT topo-bathymétrique côtier de Tahiti (Projet Météo-France). http://dx.doi.org/10.17183/MNT_COTIER_TAHITI_METEO-FRANCE_20m_WGS84 "
- Use limitation
-
Do not use for navigation
- Use limitation
-
Data may be freely used providing that the source is mentioned as follows : "Shom, 2023. MNT topo-bathymétrique côtier de Tahiti (Projet Météo-France). http://dx.doi.org/10.17183/MNT_COTIER_TAHITI_METEO-FRANCE_20m_WGS84 "
- Use limitation
-
Do not use for navigation
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
-
The product is distributed under an Opendata license (version 2.0, April 2017), defined by the Etalab mission.
- Access constraints
- Other restrictions
- Other constraints
- No public access restrictions.
- Classification
- Unclassified
- Spatial representation type
- Grid
- Distance
- 0.0002 dd
- Language
- Français
- Character set
- UTF8
- Topic category
-
- Elevation
))
Vertical extent
- Minimum value
- -138
- Maximum value
- 2234
Vertical CS
Vertical datum
Vertical extent
- Minimum value
- -138
- Maximum value
- 2234
Vertical CS
Vertical datum
- Unique resource identifier
- WGS 84 (EPSG:4326)
- Number of dimensions
- 2
- Dimension name
- Row
- Dimension size
- 2201
- Resolution
- 0.0002 dd
- Dimension name
- Column
- Dimension size
- 2651
- Resolution
- 0.0002 dd
- Cell geometry
- Area
- Transformation parameter availability
- No
- Distribution format
-
-
ArcGis Grid
(
inapplicable
)
-
BAG
(
inapplicable
)
-
GLZ
(
inapplicable
)
-
GRD
(
inapplicable
)
-
ArcGis Grid
(
inapplicable
)
- OnLine resource
-
Shom geoportal
(
WWW:LINK-1.0-http--link
)
Shom geoportal
- OnLine resource
- MNT_COTIER_TAHITI_20m_PBMA_3857_WMSR ( OGC Web Map Service )
- OnLine resource
- Download service LAT ( WWW:DOWNLOAD-1.0-http--download )
- OnLine resource
- Download service MSL ( WWW:DOWNLOAD-1.0-http--download )
- OnLine resource
-
Shom distribution space
(
WWW:LINK-1.0-http--link
)
Shom distribution space to download DEMs
- Hierarchy level
- Dataset
Conformance result
- Date (Publication)
- 2013-12-10
- Explanation
-
Information on compliance with INSPIRE specifications for the Altitude theme.
- Pass
- Yes
Conformance result
- Date (Publication)
- 2010-11-23
- Explanation
-
Information on compliance with the Geographic Data Sets and Services Interoperability Regulation.
- Pass
- Yes
- Statement
-
In addition to the Shom data, the surveys of external organisms have been used, with the following contributors :
IRD
Geopolynesie
University of California San Diego, Scripps Institution of Oceanography (UCSD/SIO) (1997): Multibeam collection for SOJN08MV: Multibeam data collected aboard Melville from 14-May-97 to 26-May-97, Melbourne, Australia to Papeete, French Polynesia. NOAA National Centers for Environmental Information
- Description
-
The main production tasks of this product line are based on 4 major axes each aiming at reducing the DTM uncertainties:
1) the collection, evaluation, pre-processing, and selection of data from multiple sources whose acquisition is from different sensors and time periods;
2) homogenization of the vertical and horizontal reference of the data sets;
3) the use of interpolation algorithms adapted to the heterogeneous distribution and variable density of the data, and
4) the evaluation and qualification of the final product and the elaboration of its documentation
Overviews
Spatial extent
Provided by
