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2010

26 record(s)
 
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  • This dataset divides the Near East in major hydrological basins and their sub-basins according to its hydrological characteristics. It was obtained by delineating drainage basin boundaries from hydrologically corrected elevation data (WWF HydroSHEDS and Hydro1K). The dataset consists of the following information:- numerical code and name of the major basin (MAJ_BAS and MAJ_NAME); - area of the major basin in square km (MAJ_AREA); - numerical code and name of the sub-basin (SUB_BAS and SUB_NAME); - area of the sub-basin in square km (SUB_AREA); - numerical code of the sub-basin towards which the sub-basin flows (TO_SUBBAS) (the codes -888 and -999 have been assigned respectively to internal sub-basins and to sub-basins draining into the sea)

  • **Table content** - Year - Indicator - Sex - Agricultural - Value - Flag - Unit

  • This land cover dataset provides information on the land cover distribution by administrative divisions. The dataset was created using the FAO/GLCN methodology and tools. The land cover mapping was carried out with the interpretation of an integrated coverage of GLS Landsat satellite images (2000 and circa 2005-2007) acquired for the whole extent of South Sudan, and improved with updated higher resolution SPOT images (2006-2008) covering the agricultural areas. This approach was adopted to emphasize the land cover features in the agricultural production areas which were derived from the existing Africover Sudan data base dated circa 2002. The legend was prepared using the Land Cover Classification System (LCCS*). The country land cover dataset is split in administrative divisions which include the following states: Central Equatoria, Eastern Equatoria, Jonglei, Lakes Northern Bahr el Ghazal, Unity, Upper Nile, Warrap, Western Bahr el Ghazal, Western Equatoria. *LCCS is a comprehensive, standardized a priori classification system, designed to meet specific user requirements and created for mapping exercises, independent of the scale or means used to map. The classification uses a set of independent diagnostic criteria that allows the correlation with existing classifications and legends.

  • **Table content** - Year - Indicator - Sex - Agricultural - Value - Flag - Unit

  • This dataset divides the Australian continent in major hydrological basins and their sub-basins according to its hydrological characteristics. It was obtained by delineating drainage basin boundaries from hydrologically corrected elevation data (WWF HydroSHEDS and Hydro1K). The dataset consists of the following information:- numerical code and name of the major basin (MAJ_BAS and MAJ_NAME); - area of the major basin in square km (MAJ_AREA); - numerical code and name of the sub-basin (SUB_BAS and SUB_NAME); - area of the sub-basin in square km (SUB_AREA); - numerical code of the sub-basin towards which the sub-basin flows (TO_SUBBAS) (the codes -888 and -999 have been assigned respectively to internal sub-basins and to sub-basins draining into the sea)

  • **Table content** - Year - Indicator - Product - Value - Flag - Unit

  • **Table content** - Year - Indicator - Species - Value - Flag - Unit

  • Version 1.1 of a thematic grid of Land Use Systems (LUS) and its attributes for East Asia and Pacific with a spatial resolution of 5 arc minutes or 0.083333 decimal degrees. This dataset is developed in the framework of the LADA project (Land degradation Assessment in Drylands) by the Land Tenure and Management Unit of the Food and Agriculture Organization of the United Nations and is copyright of FAO/UNEP GEF. The LUS map implementation is based on a innovative methodology combining more than 10 global datasets. Due to the map generation method, the quality of the map can never be uniform. The overall quality of the map depends heavily on the individual quality of the data for the different countries.

  • **Table content** - Year - Indicator - Sex - District - Value - Flag - Unit

  • **Table content** - Year - Indicator - Sector - Value - Flag - Unit