Bioenergy occupies a unique position at the nexus of energy, environment, climate change and rural development agendas. Consequently, bioenergy and biofuels in particular, have seen
record levels of support in the form of subsidies, mandates and investments as governments seek to maximize the perceived synergies between the various opportunities offered by bioenergy. Whilst it is true that well- planned bioenergy development can reduce greenhouse gas emissions from a range of sources, increase rural incomes, reduce waste, improve access
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.
Zip file containing NetCDF files for both zonal and meridional current velocities (meters/second) for 5 day temporal resolution for the years 2000-2019 in the WGS84 coordinate system (EPSG:4326).
This is the report for the Reefs at Risk Revisited analysis. Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).
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.
Land cover maps showing change over time as well as specific time stamps in jpeg format
Map displaying Niue's water bores and water tanks
Surrounding Reefs of Niue
Niue's Exclusive Economic Zone from the 2018 SOE
Three time stamps with 3 maps from 1994, 2001 and 2008
Map displaying water bore locations and water tanks in Niue
Areas of deforestation mapped in red, areas of reforestation mapped in green