GEBCO’s gridded bathymetric data sets are global terrain models for ocean and land. The grids are available to download or access through Web Map Services.
Imagery reproduced from the GEBCO_2019 Grid, www.gebco.net
https://www.gebco.net/data_and_products/gridded_bathymetry_data/
This dataset shows the global distribution of coral reefs in tropical and subtropical regions. It is the most comprehensive global dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the WorldFish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy).
The combined Pacific EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
This first state of the environment report for the Pacific region uses regional environment indicators to assess the status, trends, and data quality and availability for the endorsed Pacific environmental priorities. This report also includes an update of the State of Conservation in Oceania report produced in 2013, which was endorsed and published in 2017.
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
This is a dataset provided by NES in 2014
The Landuse layer of Rarotonga was produced in 2009/2010 under the Sustainable Land Management (SLM) Project. This project was co-implemented by NES and MOIP.
The layer was produced by digitizing from satellite imagery and carrying out random checks on the field.
Districts in Samoa, limited metadata
Ridge to Reef Data on Observer Pollution Events over the past 10 years in Nauru, limited metadata compiled in 2018
Ridge to Reef Data, Grassland Vegetation Class, Limited Metadata, Compiled in 2018
Ridge to Reef data, mining class, limited metadata, compiled in 2018
Ridge to Reef Data, Open Land in Nauru, limited metadata, compiled in 2018
Ridge to Reef Data on Sand Bay in Nauru, limited metadata, compiled in 2018
Ridge to Reef Data, Secondary Forest in Nauru, limited metadata, compiled in 2018
Ridge to Reef data on the locations of Traditional and Cultural Heritage Sites on Nauru, limited metadata, compiled in 2018
Ridge to Reef Data on Vegetation Type A located on Nauru, limited metadata, compiled for 1994 and earlier
Ridge to Reef Data, Coconut Vegetation Class, Limited Metadata, Compiled in 2018