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  • Forest Cover Map 2000 This Map shows the forestcover in the year 2000 It has been produced by the Forest Cover Monitoring Unit which is established within SBB. This map was made with use of Landsat Imagery.

  • Categories  

    The main sources of information for the species distribution are the habitat description and geographic range contained in the published FAO Catalogues of Species (more details at http://www.fao.org/fishery/fishfinder ). Terms used in the descriptive context of the FAO Catalogues were converted in standard depth, geographic and ecological regions and inserted into a Geographic Information System.

  • Categories  

    The main sources of information for the species distribution are the habitat description and geographic range contained in the published FAO Catalogues of Species (more details at http://www.fao.org/fishery/fishfinder ). Terms used in the descriptive context of the FAO Catalogues were converted in standard depth, geographic and ecological regions and inserted into a Geographic Information System.

  • Categories  

    The main sources of information for the species distribution are the habitat description and geographic range contained in the published FAO Catalogues of Species (more details at http://www.fao.org/fishery/fishfinder ). Terms used in the descriptive context of the FAO Catalogues were converted in standard depth, geographic and ecological regions and inserted into a Geographic Information System.

  • This layer has been provided by MI-GLIS

  • Part of the Integrated Vulnerability Assessment in the Arab Region, this 1km pixel resolution raster dataset provides a representation of future change in vulnerability for Biodiversity and Ecosystems: Area Covered by Wetlands sub-sector, in the Middle East and North Africa Region. The Raster grid was generated for high representative concentration pathway (RCP8.5) emission scenario developed by the Intergovernmental Panel on Climate Change (IPCC), for future time period Mid-Century (2046-2065). Pixel values are classified according to level of vulnerability, from low 1 to high 10. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. The integrated vulnerability assessment methodology is based on an understanding of vulnerability as a function of a system’s climate change exposure, sensitivity and adaptive capacity to cope with climate change effects, consistent with the approach put forward by the IPCC in its Fourth Assessment Report (AR4). It adopts the time periods generally used by the IPCC and other regional climate modelling experiments, and runs climate simulations based on future time periods that are compared with a historical reference period.

  • Categories    

    Country raster grid with 0.01 decimal degrees resolution produced under the scope of the sub-Saharan African Corridor project pilot case, using raster-based Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) methodology for the identification and definition of mobile storage locations (movable warehouses). The modeling variables characterize supply, demand and accessibility, main logistical factors for warehousing facilities location. These variables are Cereal Crops (supply), human population density (demand) and main transportation network infrastructure (accessibility). The main transportation network infrastructure is the input for the development of raster-based travel time/cost analysis. GIS multicriteria decision analysis GIS-MCDA consists of a method to convert and combine spatial data/geographical information and decision-makers criteria in order to attain evidence for a decision-making process. Considered cereal crops: maize, wheat, sorghum and rice. The location score results from an arithmetic weighted sum calculation (cell statistics) of normalized grids, generating a location score varying from 0 to 100. The assumed weight for each of the criteria is as follows. ("Cereal Crops Production" * 0.4) + ("Human Population Density" * 0.2) + ("Cities Accessibility" * 0.1) + ("Regional Cities Accessibility" * 0.1) + ("Ports Accessibility" * 0.1)

  • Part of the Integrated Vulnerability Assessment in the Arab Region, this 1km pixel resolution raster dataset provides a representation of Sensitivity to climate change impact for the Manmade dimension indicator – Areas Under Cultural Heritage Protection - in the Middle East and North Africa Region. Vulnerability is a concept used to express the complex interaction of climate change effects and the susceptibility of a system to its impacts. The integrated vulnerability assessment methodology is based on an understanding of vulnerability as a function of a system’s climate change exposure, sensitivity and adaptive capacity to cope with climate change effects, consistent with the approach put forward by the Intergovernmental Panel on Climate Change (IPCC) in its Fourth Assessment Report (AR4). Within this conceptual framework, Sensitivity provides information about the status quo of the physical and natural environment that makes the affected systems particularly susceptible to climate change. Sensitivity indicators were clustered into three dimensions: population, natural, and manmade. Within the vulnerability assessment methodology, it is assumed the indicators retain the same values for reference period and future periods. A class value of 1 was assigned to represent a favorable condition (low sensitivity) while a class value of 10 designates an unfavorable condition.

  • Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". The data is provided in near real time from January 2009 to present.

  • The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. The data is provided in near real time from January 2009 to present.