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.
Since 1972, the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites have continuously acquired images of the Earth’s land surface, providing uninterrupted data to help land managers and policymakers make informed decisions about natural resources and the environment.
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.
Various training and reference materials from the ACPMEA and Inform Joint Regional Meeting held at SPREP 17-21 September 2018.
The following excel template captures Kiribati's trade data from the years 1999 to 2010.
The following PDF document captures the following annual average meteorological data from 2005-2016:
- Rainfall (millimeter)
- Wind Speed (km/hr)
- Temperature (degree Celcius)
- Relative Humidity (%)
Palau transport data. Data collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Transport Energy for Islands Study Project. Data collected in 2012, purpose of the project is to collect transport data of all sectors & determine how renewable sources & ultimately technology can be used to offset fuel imports.
This record captures the 2014 Power Plant Load Summary for the Marshall Islands. Data captures the following:
- Daily load from Monday to Sunday for 24 hours
- Daily & Average hourly load by engine: Engine 1 - Engine 6
- Load Charts
Data is provided here as it was provided by the data source.
This record captures the 2013 Power Plant Load Summary for the Marshall Islands. Data captures the following:
- Daily load from Monday to Sunday for 24 hours
- Daily & Average hourly load by engine: Engine 1 - Engine 6
- Load Charts
Data is provided here as it was provided by the data source.
This record captures the 2012 Power Plant Load Summary for the Marshall Islands. Data captures the following:
- Daily load from Monday to Sunday for 24 hours
- Daily & Average hourly load by engines: Engine 1 - Engine 6
- Load Charts
Data is provided here as it was provided by the data source.
This record captures the 2011 Plant Load Summary for the Marshall Islands. Data captures the following:
- Daily load from Monday to Sunday for 24 hours
- Daily & Average hourly load by engine: Engine 1 - Engine 6
Data is provided here as it was provided by the data source.
This record holds Majuro's average solar resource (kWh/m2/day). Data is extracted from Marshall Islands Renewables Readiness Assessment (RRA), and the original data source is from NASA website. Note: This is a graphical extract from the RMI RRA Report by IRENA.
This record captures Kiribati transport data. Data was collected by Mr Herbet Wade, consultant for the SPREP PIGGAREP Project. Data collected in 2012, purpose of the project is to collect transport data of all sectors & determine how renewable sources & ultimately technology can be used to offset fuel imports. This record holds several attachments:
- vehicle imports,
- outboard motor oil imports,
- engine oil imports,
- boats imports for the period 2008 - 212 and
- fuel sales from gas stations.
These instructional videos walk users through the portal and its different features.
Kiribati power statistics for 2010 - 2013. Data produced by the Kiribati Public Utility Board, sourced through the Kiribati Enery Planning Unit.
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.
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.
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.
GEBCO's aim is to provide the most authoritative publicly-available bathymetry of the world's oceans. It operates under the joint auspices of the International Hydrographic Organization(IHO) and the Intergovernmental Oceanographic Commission (IOC) (of UNESCO).
GEBCO produces and makes available a range of bathymetric data sets and products. This includes a global bathymetric grid; gazetteer of undersea feature names, a Web Map Service and printable maps of ocean bathymetry.
Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains.