Dataset pertaining to a record of annual tree cover loss in the Solomon Islands from 2001 - 2017. The independent Global Forest Watch reported a total loss of tree cover (>30% crown cover) in the Solomon Islands of 144,000 ha between 2001-2017. The country lost 144kha of tree cover, equivalent to a 5.2% decrease since 2000, and 16.7Mt of CO₂ emissions.
PEBACC - Pacific Ecosystems-based Adaptation to Climate Change - is a five year project funded by the German government and implemented by the Secretariat of the Pacific Regional Environment Programme (SPREP) to explore and promote ecosystem-based options for adapting to climate change. The overall intended outcome of the project is: Ecosystem-based Adaptation (EbA) is integrated into development, climate change adaptation and natural resource management policy and planning processes in three Pacific island countries providing replicable models for other countries in the region.
The MACBIO project classify the entire marine environment within the MACBIO participating countries to inform, in particular, their national marine spatial and marine protected area planning efforts. The draft outputs are marine bioregions that include reef-associated and deepwater biodiversity assemblages with complete spatial coverage at a scale useful for national planning. Results for the Solomon Islands have been presented to the marine experts and government of the Solomon Islands for review.
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.
MEA icons for : SDG and Aichi targets
This dataset has all icons for Multilateral Environment Agreements such as SDGs and Aichi
This project has developed sub-regional bioregionalisations for the western-south Pacific Ocean, through expert workshops and novel statistical analysis of physical and biological data. This combines approaches CSIRO developed in Australia, used in the Bay of Bengal (in collaboration with BOBLME) with similar approaches that have been used throughout the Indian and Pacific Oceans to derive a single combined bioregionalisation.
The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management. The WDPA is a joint project between UN Environment and the International Union for Conservation of Nature (IUCN).
Maps and associated data from the Turtle Research and Monitoring Database System (TREDS). A summary of the database can be found below.
The Turtle Research and Monitoring Database System (TREDS) provides invaluable information for Pacific island countries and territories to manage their turtle resources. TREDS can be used to collate data from strandings, tagging, nesting, emergence and beach surveys as well as other biological data on turtles.
This resource contains satellite imagery for Pohnpei. The imagery was collected on June 12, 2018, February 27, 2019, and September 10, 2019.
More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used.
This resource contains satellite imagery for Yap. The imagery was collected on April 12, 2019.
More specially, this resource contains a raster file of RGB imagery at 10-meter resolution, using Level-2A products when available. Level-2A products include atmospheric correction and represent bottom of atmosphere reflectance values in the images. When Level-2A products were not available, Level-1C (top of atmosphere) products were used.