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.
This survey acted as the main pilot for the WFS programme. A re-interview survey on a subsample of 371 women was conducted and a detailed analysis of response consistency performed. A validation of contraceptive use data against health centre records was carried out; the results are contained in the country report.
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 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 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 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.
This contains 10 field reports of 10 ocean planning teams in 201, that conducted Solomon Islands first round of consultations to the nine Provinces and Honiara, towards the development of a National Marine Spatial Plan by 2020. The national initiative is lead by MFMR and MECDM as mandated by the Ocean12 (a body comprising of 12 key ocean-Ministries) as per the Solomon Islands National Ocean Policy. Funding and technical support were provided by IUCN, GIZ and WCS through the PEUMP Project. These 10 reports will be annexed to the main Ocean Planning first round consultations report.
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on October 19-23, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
Figures and Supporting information included in the article Coastal proximity of populations in 22 Pacific Island Countries and Territories. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.02232… https://sdd.spc.int/mapping-coastal
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.
This dataset contains mapping information (shapefile) of reefs in Tuvalu including its distribution. A foundation baseline map for future, more detailed, work.
Data submitted to the UN Ozone Secretariat highlighting the trend of ODS consumption (calculated as Production (if any) + imports - exports) in Tuvalu. Ozone Depleting Substances calculated here are HCFCs and Methal Bromide.
Perceived threats can be summarised as arising from deleterious human actions and negative attitudes to the environment, leading to inappropriate behaviour, such as littering, over-fishing and hunting, using fishing nets and modern fishing method, the use of guns and the introduction of pests; the use of inappropriate technologies, such as solid and liquid waste water disposal systems; uncontrolled use of resources and control of livestock; increasing consumption patterns, arising from increases in human populations, demands and changing lifestyles; institutional weaknesses; ignorance and l
Presenting the estimated areas of different land use/land cover types present in Tuvalu. This data was presented in both the 4th and 5th national reports to the CBD.
This data presents the value and volume of estimated fisheries catches and aquaculture harvest in the year 2014. It was presented in the 5th National Report to the Convention on Biological Diversity.
Data extracted from the 'Fisheries in the PICs' report, 2016. From the table, it can be seen that, in 2014, foreign-based offshore fishing in the Tuvalu zone produced 96,898 mt of fish, with an in-zone value of US$132 million (A$161 million).
Studies of the benefits to Pacific Island countries and territories from fisheries (“Benefish” studies) have been carried out in the past. Gillett and Lightfoot (2001) focused on the year 1999, Gillett (2009) focused on 2007, and the present study focuses on 2014.
The fishery production levels for Tuvalu from those three studies are presented in this data.