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2,811 results returned

  1. Title: Geneva, Switzerland, 1850 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Geneva = (Geneve), engraved by B.R. Davies. It was published by Charles Knight & Co. in 1850. Scale [ca. 1:3,600]. Covers Geneva, Switzerland. Map in English and French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'CH1903_LV03' 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, drainage, built-up areas and selected buildings, fortification, ground cover, and more. Includes inset: Environs of Geneva, and view: View of Geneva. 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: Moscow, Russia, 1836 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: [Moscow = Moskvi], drawn by W. B. Clarke, Archt., engraved by B. R. Davies. It was published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] Charles Knight & Co. in 1836. Scale [ca. 1:33,000]. Covers Moscow, Russia. Map in English and Russian (including romanized Russian). 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 37N 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, drainage, built-up areas and selected buildings, bridges, ground cover, fortification, and more. Includes illustrations.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: Dresden, Germany, 1851 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Dresden, drawn by W.B. Clarke, archt.; engraved by W. Henshall. It was published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] Charles Knight & Co. in [1851]. Scale [ca. 1:12,000]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 5 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, parks, and more. Relief is shown by hachures. Includes views of buildings. 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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  4. Title: Amsterdam, Netherlands, 1850 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Amsterdam, drawn by W. B. Clarke; engraved by B. R. Davies. It was published by for the Superintendance of the Society of Diffusion of Useful Knowledge [by] Charles Knight & Co. in [1850]. Scale [ca. 1:5,660]. Covers a portion of Amsterdam. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Dutch National Grid: RD (Rijksdriehoekstelsel) GCS Amersfoort (Bessel 1841) 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, bridges, drainage, canals, dikes, wharves, docks, built-up areas and selected buildings, water mills, and more. Includes inset map: Plan of the Environs of Amsterdam, and illustrations of buildings. Map in English with place names in Dutch. 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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  5. Title: Madrid, Spain, 1831 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Madrid, W.B. Clarke, archt.; engraved by J. Henshall. It was published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] Charles Knight & Co. Decr. 1, 1831. Scale [ca. 1:11,800]. Map in English and Spanish. The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, UTM Zone 30N 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, ground cover, and more. Relief is shown by hachures. Includes illustrations. 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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  6. Title: Berlin, Germany, 1851 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Berlin, engraved & printed by J. Henshall; drawn by W.B. Clarke. It was published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] Charles Knight & Co. in 1851. Scale [ca. 1:19,400]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Deutsches Hauptdreiecksnetz (DHDN) 3-degree Gauss-Kruger Zone 4 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, buildings (schools, churches, hospitals, etc.), parks, and more. Relief shown by hachures. Includes index and engravings at lower margin entitled, 'A comparison of the Prinicpal Buildings in Berlin': Brandenburger Thor -- Schauspiel Hans (Theatre) -- Zeughaus -- Koniglich Schloss (Castle) -- Dom (Cathedral) -- Opera House -- Museum -- Catholic Church -- Franzosische Kirche -- Konigs Palais. 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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  7. Title: North America: parts of Wisconsin and Michigan, sheet V; Tanner, Smith; J. & C. Walker sculpt.

    Contributors:

    Summary: Relief shown by hachures. Also shows northern part of Illinois. "Published ... under the superintendance of the Society for the Diffusion of useful knowledge ..." Probably detached from Society for the Diffusion of Useful Knowledge. Maps of the Society for the Diffusion of Useful Knowledge. -- London: C. Knight, 1846-1851. -- Vol. 2, no. 134. 1 map: color; 29 x 37 cm

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  8. Title: Europe

    Contributors:

    Summary: Relief shown by hachures. Includes table of population for "European States." "Published under the Superintendence of the Society for the Diffusion of Useful Knowledge." 1 map: col., mounted on cloth; 38 x 38 cm

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  9. Title: Bordeaux, France, 1850 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Bordeaux, drawn by W.B. Clarke, arch[t]; engraved by J. Henshall. It was published by published under the superintendence of the Society for the Diffusion of Useful Knowledge [by] Charles Knight in 1850. Scale [ca. 1:12,000]. Covers Bordeaux, France. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM 30N' 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, drainage, built-up areas and selected buildings, fortification, ground cover, parks, and more. Depths shown by soundings. Includes views and 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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  10. Title: Map of Scandinavia park, Camrose, Alberta

    Contributors:

    Summary: "Prices of lots in Scandinavia Park" and plan of Camrose on verso. 31 x 26 centimeters, on sheet 36 x 31 centimeters Scale approximately 1:14,400 City Maps

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  11. Title: Twin Cities Metropolitan Area Urban Tree Canopy Assessment (2015)

    Contributors:

    Summary: A high-resolution (1-meter) tree canopy assessment was completed for the Twin Cities Metropolitan Area. Mapping of existing and potential tree canopy is critical for urban tree management at the landscape level. This classification was created from combined 2015 aerial imagery, LIDAR data, and ancillary thematic layers. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach through multi-resolution image segmentation and an iterative set of classification commands in the form of customized rulesets. eCognition Developer was used to develop the rulesets and produce raster classification products for TCMA. The results were evaluated using randomly placed and independent verified assessment points. The classification product was analyzed at regional scales to compare distributions of tree canopy spatially and at different resolutions. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of tree canopy with highly accurate results.

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  12. Title: Minnesota Land Cover Classification and Impervious Surface Area by Landsat and Lidar (2013 Update)

    Contributors:

    Summary: This is a 15-meter raster dataset of a land cover and impervious surface classification for 2013, level two classification. The classification was created using a combination of multitemporal Landsat 8 data and LiDAR data with Object-based image analysis. By using objects instead of pixels we were able to utilize multispectral data along with spatial and contextual information of objects such as shape, size, texture and LiDAR-derived metrics to distinguish different land cover types. While OBIA has become the standard procedure for classification of high resolution imagery we found that it works equally well with Landsat imagery. For the objects classified as urban or developed, a regression model relating the Landsat greenness variable to percent impervious was developed to estimate and map the percent impervious surface area at the pixel level.

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  13. Title: Duluth 1-Meter Land Cover Classification (Urban Focused)] (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  14. Title: Twin Cities Metropolitan Area 1-Meter Land Cover Classification (Urban Focused) (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  15. Title: Rochester 1-Meter Land Cover Classification (Urban Focused)] (2016)

    Contributors:

    Summary: A high-resolution (1-meter) land cover classification raster dataset was completed for three different geographic areas in Minnesota: Duluth, Rochester, and the seven-county Twin Cities Metropolitan area. This classification was created using high-resolution multispectral National Agriculture Imagery Program (NAIP) leaf-on imagery (2015), spring leaf-off imagery (2011- 2014), Multispectral derived indices, LiDAR data, LiDAR derived products, and other thematic ancillary data including the updated National Wetlands Inventory, LiDAR building footprints, airport, OpenStreetMap roads and railroads centerlines. These data sets were integrated using an Object-Based Image Analysis (OBIA) approach to classify 12 land cover classes: Deciduous Tree Canopy, Coniferous Tree Canopy, Buildings, Bare Soil, other Paved surface, Extraction, Row Crop, Grass/Shrub, Lakes, Rivers, Emergent Wetland, Forest and Shrub Wetland. We mapped the 12 classes by using an OBIA approach through the creation of customized rule sets for each area. We used the Cognition Network Language (CNL) within the software eCognition Developer to develop the customized rule sets. The eCognition Server was used to execute a batch and parallel processing which greatly reduced the amount of time to produce the classification. The classification results were evaluated for each area using independent stratified randomly generated points. Accuracy assessment estimators included overall accuracies, producers accuracy, users accuracy, and kappa coefficient. The combination of spectral data and LiDAR through an OBIA method helped to improve the overall accuracy results providing more aesthetically pleasing maps of land cover classes with highly accurate results.

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  16. Title: Puget Sound, Washington, 1854 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Reconnaissance of Duwamish Bay & Seattle Harbor, Washington Ter., by the hydrographic party under the command of Lieut. James Alden, U.S.N. Assistant; redd. drng by J. R. Key; engd. by Apps. J.J. Knight & F. W. Benner. It was published by the U.S. Coast Survey in 1854. Scale 1:40,000. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Washington State Plane North Coordinate System HARN NAD83 (in Feet) (Fipszone 4601). 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 coastal features such as channels, points, coves, islands, bottom soil types, flats, and more. Depths shown by soundings. Includes note. 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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  17. Title: London, England, 1894 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: London : drawn and engraved expressly for the post office directory. It was published by Kelly & Co. Ltd., Post Office Directory Office in 1894. Scale [1:15,840]. The image inside the map neatline is georeferenced to the surface of the earth and fit to the British National Grid coordinate system (British National Grid, Airy Spheroid OSGB (1936) Datum). 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, drainage, built-up areas, selected buildings, parks, cemeteries, docks, and more. 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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  18. Title: Railway map of Tokyo and vicinity

    Contributors:

    Summary: Shows train, subway, and electric car routes and stations.

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  19. Title: A chart of Ceuta and Tetuan bays : in which are pointed out, the most advantageous places of rendezvous for the purposes of victualling & watering a fleet

    Contributors:

    Summary: Relief shown by hachures and soundings. Insets: A plan of the Zaffarine Islands / surveyed by Capt. W. Wolseley, of the Royal Navy (Scale [ca. 1:15,840]) -- View of Gibraltar as seen over Ceuta from the anchorage in Ceuta Great Bay -- Appearances of the Zaffarine Islands.

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  20. Title: San Francisco Bay Area, California, Nautical Chart, 1877 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Entrance to San Francisco Bay, California, from a trigonometrical survey under the direction of A.D. Bache, Superintendent of the Survey of the Coast of the United States ; triangulation by R.D. Cutts, asst. & A.F. Rodgers, sub-asst. ; topography by R.D. Cutts, asst., A.M. Harrison & A.F. Rodgers, sub-assts. ; hydrography by the party under the command of Lieut. Comdg. James Alden, U.S.N. assist. It was published by The Survey in 1877. Scale 1:50,000. Covers the San Francisco Bay Area. The image inside the map neatline is georeferenced to the surface of the earth and fit to the California Zone III State Plane Coordinate System NAD83 (in Feet) (Fipszone 0403). 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 coastal features such as lighthouses, buoys, beacons, rocks, channels, points, coves, islands, bottom soil types, wharves, and more. Includes also selected land features such as roads, railroads, drainage, land cover, selected buildings, towns, and more. Relief shown by hachures and spot heights; depths by sounding, shading, and contours. Includes inset map: Sub-sketch of entrance to San Francisco Bay (Scale 1:400,000), and inset views: View of the entrance to San Francisco Bay, Alcatraz N.E. by E. 1/2 (by compass 10 miles) -- View of the entrance to San Francisco Bay from Yerba Buena Id. -- View of the entrance to San Pablo Bay from near Angel Id. Also includes text and tables. 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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