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.
The WDPA User Manual provides information and guidance about the data held within the WDPA, including its history, how it is collected, managed and distributed, and how it should be interpreted and used for analyses and research. The Manual has been prepared for WDPA data providers and users. It is structured in 4 sections and includes 6 appendices.
The Protected Areas Working Group (PAWG) of the Pacific Islands Round Table for Nature Conservation recommended a forum to better connect a diverse range of people and their work relating to protected and conserved areas. To increase efficacy with respect to gaining momentum with communications and conservation work, the Pacific Islands Protected Area Portal (PIPAP) was launched.
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.
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).
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.
This dataset contains rasters and a metadata file for global mean monthly ocean chlorophyll concentration (mg/m3) from 2010-2019. Rasters are in WGS84 coordinate system (EPSG 4326) . Chlorophyll-a is the light-harvesting pigment found in all photosynthetic plants. Its concentration in the ocean is used as an index of phytoplankton biomass and, as such, is a key input to primary productivity models.