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).
The map shows landcover and vegetation impact of the Hunga Tonga Hunga Haápai volcanic eruption on the Tonga Island group.
The maps highlights areas with significant shift in the shoreline by overlaying shoreline data from Nov 2021 and January 2022
The maps highlights areas with significant shift in the shoreline by overlaying shoreline data from Nov 2021 and January 2022
Map of the protected areas for the Pacific Islands Region with regional-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.
Raster data representing the mean levels of calcite in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of current velocities in meters/second for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of iron in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of pH for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of photosynthetically active radiation (PAR) in E/m2/year for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
From the Turtle Research and Monitoring Database System (TREDS)
The SPREP ID map is a high resolution (1MB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.