A recently published paper, titled “Coastal proximity of populations in 22 Pacific Island Countries and Territories” details the methodology used to undertake the analysis and presents the findings. **Purpose** * This analysis aims to estimate populations settled in coastal areas in 22 Pacific Island Countries and Territories (PICTS) using the data currently available. In addition to the coastal population estimates, the study compares the results obtained from the use of national population datasets (census) with those derived from the use of global population grids.
This presentation has been edited to suit Senior Secondary students to help them know what the National Ozone Unit is doing under the Department of Environment in regards to carrier path ways.
The Multi-national Geospatial Co-production Program (MGCP) is a coalition of over 30 countries dedicated to producing high-resolution topographic vector data throughout high interest areas of the world. Data is extracted from high resolution imagery in 1° x 1° cells at a scale of 1:50 000. All data produced must meet a minimum horizontal circular error accuracy of 25m and meet MGCP Technical Reference Documentation (TRD) specifications, which details extraction guidelines and feature catalogues to ensure consistency.
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 is a subset of the Government Finance Statistics dataset available on PDH.stat: https://stats.pacificdata.org/vis?dataquery=A..AMTUSD.1%2B2%2B21%2B22%2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for 21 Pacific Island Countries, 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 is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…
This is a subset of the Thematic (SDG goal 4) indicators on Education dataset available on PDH.stat: https://stats.pacificdata.org/vis?locale=en&dataflow[datasourceId]=SPC2…