688 results

This dataset contains GIS data (raster and shapefiles) for the local threats to coral reefs: coastal development, integrated local, marine pollution, overfishing, and watershed pollution.

The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).

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.

 Ministry of Natural Resources and Environment (MNRE), Samoa

This Dataset displays sources of Renewable Energy available in Samoa

The Tuanaimato Solar Farm comprises of 3 separate Power Producers
Solar Samoa
Green Power
Electric Power Corporation

Link to download a zip file containing OSM spatial files, a QGIS project, styles, license file and documentation on how to get started.

This dataset contains mapped point locations for protected areas within Samoa. This dataset should be viewed in combination with the World Database on Protected Areas polygon locations to get a comprehensive view of all protected areas within Samoa.

This dataset contains mapped polygon locations for protected areas within Samoa. This dataset should be viewed in combination with the World Database on Protected Areas point locations to get a comprehensive view of all protected areas within Samoa.

 Secretariat of the Pacific Regional Environment Programme

FAO Agriculture and Fair Trade in Pacific Island Countries. This desk study has been prepared by Winnie Fay Bell and comments were kindly provided by the Pacific Regional Organic Task Force in May 2009

Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Samoa.

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).

This resource contains satellite imagery for the Independent State of Samoa. The imagery was collected on March 11, 2018, August 8, 2018, October 12, 2019, and June 18, 2020.

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.

Map of the protected areas for Samoa with country-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.

Map of the protected areas for Upolu in Samoa with country-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.

Map of the protected areas for Savai'i in Samoa with country-level summary statistics on the amount of area under protection, count for each type of protected area (terrestrial or marine), and the count of their designation.

GIS datasets that are used in the exercises for the PIPAP GIS training.

The increased demand for high quality products in export markets, coupled with Pacific Island Countries (PICs) national desire to protect the environment, biodiversity and family farming structures, lead to assume that organic agriculture could offer good prospects for PICs development. Besides market opportunities, organic agriculture could increase PICs food self-reliance and thus, contribute to reducing the alarming trend of dependency on food imports, as well as improving nutrition.

Official QGIS Training Manual, Release 3.4