5,851 results returned
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Title: Sudan Landcover, 2007
Contributors:- Raster data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Landcover is a raster theme representing land cover classifications throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Elevation, 2007
Contributors:- Raster data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Elevation is a Digital Elevation Model representing elevations throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Landuse, 2007
Contributors:- Raster data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Landuse is a raster theme representing landuse classifications throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Vegetation, 2007
Contributors:- Raster data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Vegetation is a raster theme representing percentages of tree cover throughout Sudan at a resolution of 30 arc seconds. This layer is a component of the Global Map a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Coast Lines, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Coast Lines is a line theme representing coastlines and shorelines in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Airports, 2007
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Airports is a point theme representing airports and airfields in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: Sudan Railroads, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Railroads is a line theme representing railroads in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: Sudan Tunnels and Bridges, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Tunnels and Bridges is a line theme representing tunnels and bridges in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Built-up Areas (polygons), 2007
Contributors:- Polygon data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Built-up Areas (polygon) is a polygon theme representing built-up areas in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: Sudan Political Boundaries, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Political Boundaries is a line theme representing political boundaries in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Water Course, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Water Course is a line theme representing rivers and streams in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Roads, 2007
Contributors:- Line data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Roads is a line theme representing roadways in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organizations worldwide.
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Title: Sudan Built-up Areas (points), 2007
Contributors:- Point data
- 2007
- Not owned by MIT (Owned by Columbia)
Summary: Sudan Built-up Areas is a point theme representing built-up areas in Sudan. This layer is a component of the Global Map, a 1:1,000,000 scale framework dataset of the world. It consists of vector and raster layers of transport, administrative boundaries, drainage, elevation, vegetation, land use and land cover data. The data were prepared from information provided by national mapping and other organisations worldwide.
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Title: Sudan Thematic Woody Aggregation Landcover
Contributors:- Polygon data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan thematic woody aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a woody component. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1994-1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.
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Title: Sudan Rivers
Contributors:- Line data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan rivers from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The rivers have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1994-1999.
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Title: Sudan Towns
Contributors:- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan towns from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The towns and major towns shapefiles were developed from data from the National Imagery and Mapping Agency (NIMA).
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Title: Sudan Major Towns
Contributors:- Point data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan major towns from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The towns and major towns shapefiles were developed from data from the National Imagery and Mapping Agency (NIMA).
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Title: Sudan Thematic Grassland Aggregation Landcover
Contributors:- Polygon data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan thematic grassland aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all natural vegetation with a herbaceous component. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1994-1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.
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Title: Sudan Thematic Agriculture Aggregation Landcover
Contributors:- Polygon data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan thematic agriculture aggregation landcover from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:200,000. This dataset is a reaggregated version of the original national Africover landcover multipurpose database. It contains all cultivated land. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1994-1999. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.
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Title: Sudan Roads
Contributors:- Line data
- 2003
- Not owned by MIT (Owned by Harvard)
- Food and Agriculture Organization of the United Nations
- Di Gregorio, Antonio
- Sudan. National Survey Corporation.
- Mohie El Deen, Fatah El Aleem
Summary: Sudan roads from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO). Scale of the dataset: 1:100,000. The roads have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1994-1999.