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).
At the end of a training, you can ask participants to fill in this Action Plan. The goal is to link learning to performance.
This policy applies requests for data held by a Ministry. The purpose of this policy is to:
• encourage the free exchange of data within a Ministry, with other government agencies within the country and with the public, as appropriate
• ensure that sensitive information (including commercially sensitive data) held by the Ministry is not compromised.
Memorandum of Understanding between two parties, for the exchange of data, related information and other services.
Memorandum of Understanding between SPREP and a Country, to facilitate the access to, and security of, all data entered into the national database.
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.
The SPREP ID map is low resolution (200KB) that shows SPREP member countries with their Exclusive Economic Zone (EEZ) boundaries developed by the GIS team at SPREP.