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1,004 results returned

  1. Title: Sewerage System, Melrose, Massachusetts, 1936 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of the city of Melrose showing sewerage system. It was published by the Metropolitan District Commission in 1936. Scale [1:4,800]. 1 in. = 400 ft. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, cities and other human settlements, territorial boundaries, shoreline features, and more. Includes also sewerage system legend and names of green spaces, watersheds, and streets. 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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  2. Title: Boston Metropolitan District, Massachusetts, parks, 1898 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Map of the Metropolitan District of Boston : showing local public reservations, the holdings of the Metropolitan Park Commission and additions which have been proposed. It was originally published in the Report of the Board of Metropolitan Park Commissioners, Jan. 1899 to 'accompany report of Olmsted Brothers, Landscape Architects, Dec. 1st, 1898.' Scale 1:62,500. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). 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, or other information associated with the principal map. This map shows local parks and reservations over one half acre, Metropolitan reservations and parkways taken or provided for, and proposed additions to the Metropolitan system. Features include parks, roads, railroads, drainage, town boundaries and more. Relief is shown by contours and spot heights. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.

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  3. Title: Diagram of the public open spaces of the Boston Metropolitan District in 1899.

    Contributors:

    Summary: From: Report of the Board of Metropolitan Park Commissioners, Jan. 1901. 32 x 32 centimeters Scale approximately 1:126,000 City Maps

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  4. Title: LiDAR-Derived Bare Earth DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents a LiDAR-derived bare earth Digital Elevation Model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. This dataset contains a single file covering the geographic extent of the entire county.

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  5. Title: LiDAR-Derived Digital Surface Model (DSM) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents a LiDAR-derived digital surface model (DSM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. A Digital Surface Model captures both the natural and built/artificial features of the environment.

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  6. Title: LiDAR-Derived Hydro-Enforced DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents a LiDAR-derived hydro-enforced Digital Elevation Model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. This dataset contains a single file covering the geographic extent of the entire county.

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  7. Title: LiDAR-Derived Breaklines for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived breaklines for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.

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  8. Title: LiDAR-Derived Buildings (3-D) for the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents buildings (3-D) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3-D Building Models representing every building in Milwaukee County, WI present in the 2020 lidar survey. Models are based a standardized feature extraction algorithm using esri software. There are roughly 3 levels of detail present in the dataset: Level of Detail (LOD) 1 (simple/prismatic buildings with flat roof detail), LOD 2 (includes roof structure details such as hip and gable roofforms), LOD 3 with several iconic buildings modeled to to mimic their real-world aesthetic (examples are: US Bank Building, Miller Park, and Milwaukee City Hall). Highlights of the model include the differentiation of building components including roof, facades, and ground plane. Data is made available as a single Multipatch feature class consisting of over 400,000 individual building models.]

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  9. Title: LiDAR-Derived Culverts (Lines) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived culverts (lines) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3D culvert lines and points were generated from lidar bare earth DEM's and 2020 WROC 12 inch stereoimagery. During extraction a degree of user interpretation was necessary in determining culverts versus other similar cultural features. The Lidar base project DEM will be hydro flattened but not hydro-enforced which is typically used on water and flood modeling. To hydro enforce the DEM, we will collect culvert locations across the county. These culvert lines will then be draped to the Lidar point cloud, and the lowest elevation will be applied to the line. We will use the resulting 3D breakline to reclassify the ground points and cut the DEM, allowing water to flow through the culverts, rather than dam against the road bank. This is useful for hydro modeling and land conservation planning across the county.]

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  10. Title: LiDAR-Derived Culverts (Points) for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived culverts (points) for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [3D culvert lines and points were generated from lidar bare earth DEM's and 2020 WROC 12 inch stereoimagery. During extraction a degree of user interpretation was necessary in determining culverts versus other similar cultural features. The Lidar base project DEM will be hydro flattened but not hydro-enforced which is typically used on water and flood modeling. To hydro enforce the DEM, we will collect culvert locations across the county. These culvert lines will then be draped to the Lidar point cloud, and the lowest elevation will be applied to the line. We will use the resulting 3D breakline to reclassify the ground points and cut the DEM, allowing water to flow through the culverts, rather than dam against the road bank. This is useful for hydro modeling and land conservation planning across the county.]

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  11. Title: LiDAR-Derived Depressions for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived depressions for the Milwaukee Metropolitan Sewerage District (MMSD) in 2021. [Closed depressions are important features in the landscape and knowing their locations aid in the understanding of topics ranging from water recharge to water quality and flooding. A series of automated routines were used to map closed depressions over 0.1 acres in size throughout Milwaukee County. The 2021 culvert inventory and 2021 hydro-enforced DEM were used to develop the closed depressions. ArcGIS Pro with Spatial Analyst Extension software was utilized to extract depressions from the hydro-enforced DEM. The initial step was to create a raster with filled depressions from the hydro-enforced DEM. The filled raster was then combined with the original DEM using a maximum operator creating a mosaic raster. The mosaic raster accounts for all depressions, but eliminates digital trenches located at culvert locations from the hydro-enforced DEM. The original DEM was then subtracted from the mosaic raster to extract depressions. Depression depths greater than 1 inch were then extracted. The greater than 1 inch depth raster was used to convert depression areas to polygons. Polygons greater than 0.1 acres were selected for the final closed depression dataset. The layer is intended to represent the greatest extent of individual surface depressions regardless of the degree of drainage at each setting. The depressions file can be shaded to show depth. A low elevation point layer was created for each depression and includes a depth value at the low point. A boundary polygon shapefile of closed depressions was generated including an acreage value. Closed depression mapping is influenced by project boundaries. Depressions that intersect the edge of the project boundary will either be partially filled to the height of the low point of the depression at the boundary, or not filled at all in cases where depression bottoms are flat and extend beyond the boundary. Lidar collection buffer areas improve the mapping accuracy of depressions within the subject county.]

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  12. Title: LiDAR-Derived Tiled Bare Earth DEM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived tiled bare earth digital elevation model (DEM) for the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2021. A DEM represents the bare earth surface, removing all natural and built features.

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  13. Title: LiDAR-Derived Tiled DSM for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2021

    Contributors:

    Summary: This data represents LiDAR-derived tiled digital surface model (DSM) for the Milwaukee Metropolitan Sewerage District (MMSD) (covering all of Milwaukee County) Wisconsin in 2021. A Digital Surface Model captures both the natural and built/artificial features of the environment.

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  14. Title: LiDAR-Derived Classified LAS for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), WI 2020

    Contributors:

    Summary: This data represents LiDAR-derived classified LAS points for Milwaukee County and the Milwaukee Metropolitan Sewerage District (MMSD), Wisconsin in 2020. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. LiDAR points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files

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  15. Title: Milwaukee Metropolitan Sewerage District Boundaries Milwaukee, Wisconsin 2017

    Contributors:

    Summary: These polygon feature classes represent Combined Sewer Areas, Milwaukee Metropolitan Sewerage District Service Areas, and Milwaukee Metropolitan Sewerage District Planning Area Boundaries in 2017.COMBINED_SEWER_AREA: [Area representing combined sewer area. Created from 2050 Sewershed file.]MMSD_SERVICE_AREA: [A Service Area is a spatial representation of the service areas within the 28 different municipalities served by MMSD.PLANNING_AREA_BOUNDARY: [A Planning Area Boundary is a spatial representation of the furthest geographic extent that can be serviced by MMSD.]

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  16. Title: Lifeline Routes, San Francisco Bay Area, 2014

    Contributors:

    Summary: This line shapefile contains lifeline routes for the San Francisco Bay Area of California. Lifeline Routes are predefined emergency routes necessary for disaster planning and economic recovery. This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. California, Metropolitan Transportation Commission. (2014). Lifeline Routes, San Francisco Bay Area, 2014. Available at: http://purl.stanford.edu/xg230mt3770.

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  17. Title: Ferry Terminals, San Francisco Bay Area, 2014

    Contributors:

    Summary: This point shapefile contains the locations of ferry terminals in the San Francisco Bay Area of California. This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. California, Metropolitan Transportation Commission. (2014). Ferry Terminals, San Francisco Bay Area, 2014. MTC. Available at: http://purl.stanford.edu/kw701tt5919.

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  18. Title: Ports, San Francisco Bay Area, 2014

    Contributors:

    Summary: This point shapefile contains the locations of ports (or harbors) within the San Francisco Bay Area of California. This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. California, Metropolitan Transportation Commission. (2014). Ports, San Francisco Bay Area, 2014. MTC. Available at: http://purl.stanford.edu/yj927vy2111.

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  19. Title: Passenger Railways, San Francisco Bay Area, 2014

    Contributors:

    Summary: This line shapefile represents passenger railway lines in the San Francisco Bay Area of California. This layer includes 2014 data from Amtrack, San Francisco Municipal Transportation Agency (MUNI), Bay Area Rapid Transit (BART), Caltrain, Altamont Communter Rail ,and the Santa Clara Valley Transportation Authority (VTA). This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. Passenger Railways, San Francisco Bay Area, 2014

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  20. Title: Ferry Routes, San Francisco Bay Area, 2014

    Contributors:

    Summary: This line shapefile contains the ferry routes for the San Francisco Bay Area of California. This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection. This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data. California, Metropolitan Transportation Commission. (2014). Ferry Routes, San Francisco Bay Area, 2014. MTC. Available at: http://purl.stanford.edu/zm312vt5563.

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