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171 results returned

  1. Title: Milan, Italy, 1820 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Pianta della citta di Milano : anno 1820, Anto. Tua Pt. Archo. Geogo. dis. ; Gasp. Cagnoni inc in Milo. It was published by presso Ferdo. Artaria in 1820. Scale [ca. 1:800]. Covers Milan, Italy. Map in Italian.The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM Zone 32N' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map.This map shows features such as roads, drainage, built-up areas and selected buildings, fortification, ground cover, parks, and more. Includes index and inset view: Il Duomo di Milano. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

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  2. Title: Milan, Italy, 1860 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Pianta di Milano, designata dal Tenente Ingegnere Geografo Giovanni Brenna. It was published by Antonio Vallardi in 1860. Scale [ca. 1:5,000]. Covers Milan, Italy. Map in Italian. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM Zone 32N' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map.This map shows features such as roads, railroads and stations, drainage, built-up areas and selected buildings, fortification, ground cover, parks, and more. Includes index.This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

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  3. Title: Panorama d'Europa

    Contributors:

    Summary: Relief shown by shading. Includes inset profile of mountains.

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  4. Title: Viaggio ai tre laghi

    Contributors:

    Summary: Relief shown by shading.

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  5. Title: Plano de la Ciudad de Lima, Capital de la Republica. Levantado en 1859 por el ingeniero y arquitecto del Estado Antonio Maria Dupard. Paz Soldan. Geografia del Peru Grabado por Delamare, Calle St. Andre des Arts, 45, Paris. Paris. Impr. Janson, calle Ant: Dubois, 6. (Paris, Libreria de Augusto Durand, 1865) (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced image of a map of Lima originally published in 1865. The historic map layers in the Google Earth Rumsey Map Collection have been selected by David Rumsey from his large collection of historical maps, as well as some from other collections with which he collaborates. All the maps contain rich information about the past and represent a sampling of time periods, scales, and cartographic art, resulting in visual history stories that only old maps can tell. Each map has been georeferenced by Rumsey, thus creating unique digital map images that allow the old maps to appear in their correct places on the modern globe. Some of the maps fit perfectly in their modern spaces, while othersgenerally earlier period mapsreveal interesting geographical misconceptions of their time. Cultural features on the maps can be compared to the modern satellite views using the slider bars to adjust transparency. The result is an exploration of time as well as space, a marriage of historic cartographic masterpieces with innovative contemporary software tools.

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  6. Title: Milan, Italy, 1875 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Pianta della citta di Milano : illustrato colle vedutine dei principali monumenti e fabbricati. It was published by Antonio Vallardi in 1875. Scale not given. Covers Milan, Italy. Map in Italian.The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 32N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, railroads and stations, drainage, built-up areas and selected buildings (shown pictorially), fortification, ground cover, parks, cemeteries, and more. Relief shown pictorially. Includes index.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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  7. Title: Democratic Republic of the Congo Roads

    Contributors:

    Summary: The Democratic Republic of the Congo 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: 1:200,000. The roads have been taken from the DCW dataset.

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  8. Title: Democratic Republic of the Congo Major Towns

    Contributors:

    Summary: The Democratic Republic of the Congo 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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  9. Title: Democratic Republic of the Congo National Boundaries

    Contributors:

    Summary: The Democratic Republic of the Congo national boundaries 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. National boundaries have been taken from the DCW dataset.

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  10. Title: Democratic Republic of the Congo Towns

    Contributors:

    Summary: The Democratic Republic of the Congo 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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  11. Title: Democratic Republic of the Congo Landcover

    Contributors:

    Summary: The Democratic Republic of the Congo 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. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  12. Title: Democratic Republic of the Congo Spatially Aggregated Multipurpose Landcover Database

    Contributors:

    Summary: The Democratic Republic of the Congo spatially aggregated multipurpose landcover database 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 spatially reaggregated version of the original national Africover landcover multipurpose database. The land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  13. Title: Democratic Republic of the Congo Thematic Grassland Aggregation Landcover

    Contributors:

    Summary: The Democratic Republic of the Congo 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 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  14. Title: Democratic Republic of the Congo Thematic Agriculture Aggregation Landcover

    Contributors:

    Summary: The Democratic Republic of the Congo 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 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  15. Title: Democratic Republic of the Congo Rivers

    Contributors:

    Summary: The Democratic Republic of the Congo 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: 1:200,000. The rivers have been taken from the DCW dataset.

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  16. Title: Democratic Republic of the Congo Thematic Woody Aggregation Landcover

    Contributors:

    Summary: The Democratic Republic of the Congo 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 2000-2001. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system.

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  17. Title: Democratic Republic of the Congo Administrative Boundaries

    Contributors:

    Summary: The Democratic Republic of the Congo administrative boundaries 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. Administrative boundaries have been taken from the DCW dataset.

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  18. Title: Sudan Administrative Boundaries

    Contributors:

    Summary: Sudan administrative boundaries from The Multipurpose Africover Database for the Environmental Resources produced by the Food and Agriculture Organization of the United Nations (FAO).

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  19. Title: Sudan Thematic Woody Aggregation Landcover

    Contributors:

    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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  20. Title: Sudan Rivers

    Contributors:

    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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