Tables 14 cross-tabulates different socio-demographic and economic variables by damage (household + other dwelling). The table suggests that the worse-off were more affected by GITA.
*data extracted from the PDNA report*
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 the Kingdom of Tonga. 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 Tonga.
This dataset contains mapped polygon locations for protected areas within the Kingdom of Tonga. 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 Tonga.
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Tonga.
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 Niua Islands in Tonga. The imagery was collected on September 10, 2018 and April 22, 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.
This resource contains satellite imagery for the Haapia Group in Tonga. The imagery was collected on April 12, April 19, May 4, and May 27, 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.
This resource contains satellite imagery for the Tongatapu Group in Tonga. The imagery was collected on May 23, 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.
This resource contains satellite imagery for the Vavau Group in Tonga. The imagery was collected from August 11, 2019, August 21, 2019, September 10, 2019, January 20, 2020, and February 19, 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.
Environmental conditions and anthropogenic impacts are key influences on ecological processes and associated ecosystem services. Effective management of Tonga’s marine ecosystems therefore depends on accurate and up-to-date knowledge of environmental and anthropogenic variables. Although many types of environmental and anthropogenic data are now available in global layers, they are often inaccessible to end users, particularly in developing countries with limited accessibility and analytical training.
The Institute for Marine Remote Sensing (IMaRS) at the University of South Florida (USF) was funded by the Oceanography Program of the National Aeronautics and Space Administration (NASA) to provide an exhaustive worldwide inventory of coral reefs using high-resolution satellite imagery. By using a consistent dataset of high-resolution (30 meter) multispectral Landsat 7 images acquired between 1999 and 2002, USF characterized, mapped and estimated the extent of shallow coral reef ecosystems in the main coral reef provinces (Caribbean-Atlantic, Pacific, Indo-Pacific, Red Sea).
In a unique move Tokelau requested all regional and international organizations that it is affiliated to either through full membership, associate or by accessing through regional international projects, to visit and consult Tokelau as a "body corporate" or all at once. The intention is to assist a small tiny country in managing all the possible assistance available from these organizations so that the actual assistance itself could be much more effective in their delivery and avoid duplication.
Link to download a zip file containing OSM spatial files, a QGIS project, styles, license file and documentation on how to get started.
Link to download a zip file containing OSM spatial files, a QGIS project, styles, license file and documentation on how to get started.
Link to download a zip file containing OSM spatial files, a QGIS project, styles, license file and documentation on how to get started.
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 rasters and a metadata file for global mean monthly sea surface temperature (°C) from 2010-2019. Rasters are in WGS84 coordinate system (EPSG 4326). Sea surface temperature is the temperature of the top millimeter of the ocean's surface. Sea surface temperatures influence weather, including hurricanes, as well as plant and animal life in the ocean. Like Earth's land surface, sea surface temperatures are warmer near the equator and colder near the poles. Currents like giant rivers move warm and cold water around the world's oceans.