Atmosphere and Climate Physical Climate Cook Islands consists of data on local knowledge on climate variability, energy in Cook Islands and Review of mainstreaming of climate change into national plans and policies in Cook Islands
Data on Ozone Depleting Substances (ODS) including Greenhouse Gases
Data on adaptation measures including access to rainwater tanks, food and live animals exported and imported and improved agriculture varieties. Also has information on monthly sea level rise in Rarotonga and other imported data which can help assess adaptation to Climate Change
FAO Statistics Import and Export Values 1961-2011 Cook Islands
These instructional videos walk users through the portal and its different features.
Medicinal Use of Plants Cook Islands 2016 or older
Regional data on marine pollution.
Cook Islands Protected Areas (PA) data from the World Database (WDPA). This dataset includes both tables and spatial data.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for Cook Islands in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.
The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution.
The population was compiled from available census reports and validated using other available datasets. For each country, population counts from the finest resolution was trended to 2010 using a country-specific annual growth rate assumptions. Underlying vector geometry comes from regional sources, primarily SPC.
Primary Data Source(s): PopGIS, Federated States of Micronesia Division of Statistics
Secondary Data Source(s): None
Geographical Resolutions Available (with count):
1. State (4)
2. Municipality (421)
3. Electoral District (373)
FSM Populations by state collected from census data 1979 and 1990
Catch of main target species of tuna in the FSM EEZ.
Various training and reference materials from the ACPMEA and Inform Joint Regional Meeting held at SPREP 17-21 September 2018.
Redlist of Micronesia
FSM Protected Areas (PA) data from the World Database on Protected Areas (WDPA), downloaded August 2019. This dataset includes both tables and spatial data.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey.
The dataset is included the Digital Atlas of Micronesia, module Pohnpei, by Island Research & Education Initiative (iREi), in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) University of Guam and partial funding from United States Geological Survey (USGS), under WRRI 104-B Program, project # 2016GU302B.
This dataset the extent of coral reefs around Pohnpei. The data layer shown here is a subset of Pohnpei base layer. The original data, so-called Digital Line Graphs (DLSs), were created by U.S. Geological Survey (USGS) for the 1:25,000-scale topographic maps (2001). The shoreline was modified by by University of Guam (UOG) (2017) based on 2016 Worldview-3 satellite imagery from Digital Globe. The dataset was slightly shifted and also updated (mainly around Kolonia and its vicinity).