Boston MA city boundary including water features.

City of Boston boundary that excludes water.

City of Boston sidewalk inventory data. Completed by the Boston Public Works Department (PWD) in 2014.

City Council Districts were approved by the City Council, signed by the Mayor and took effect January 1, 2014. Districts were updated September 2016 based on the updates made to wards and precincts by the City of Boston Election department.

High resolution land cover dataset for City of Boston, MA. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2013 LiDAR data, 2014 Orthoimagery, and 2016 NAIP imagery. Ancillary data sources included GIS data provided by City of Boston, MA or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 and all observable errors were corrected.

High resolution land cover dataset for City of Boston, MA. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The primary sources used to derive this land cover layer were 2013 LiDAR data, 2014 Orthoimagery, and 2016 NAIP imagery. Ancillary data sources included GIS data provided by City of Boston, MA or created by the UVM Spatial Analysis Laboratory. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:2500 and all observable errors were corrected.

Credits: University of Vermont Spatial Analysis Laboratory in collaboration with the City of Boston, Trust for Public Lands, and City of Cambridge.

City of Boston fire hydrants. Maintained and updated by Boston Water and Sewer Commission (BWSC). Last updated January 2019.

This layer represents all the public and many of the private roadways in Massachusetts, including designations for Interstate, U.S. and State routes. Formerly known as the Massachusetts Highway Department (MHD) Roads, then the Executive Office of Transportation - Office of Transportation Planning (EOT-OTP) Roads, the MassDOT roads layer includes linework from the 1:5,000 road and rail centerlines data that were interpreted as part of the 1990s Black and White Digital Orthophoto project. The Massachusetts Department of Transportation - Office of Transportation Planning, which maintains this layer, continues to add linework from municipal and other sources and update existing linework using the most recent color ortho imagery as a base. The attribute table includes many "road inventory" items maintained in MassDOT's linear referencing system. The data layer published in November 2018 is based on the MassDOT 2017 year-end Road Inventory layer and results of a 2014-2015 MassDOT-Central Transportation Planning Staff project to conflate street names and other attributes from MassGIS' "base streets" to the MassDOT Road Inventory linework. The base streets are continually maintained by MassGIS as part of the NextGen 911 and Master Address Database projects. MassGIS staff reviewed the conflated layer and added many base street arcs digitized after the completion of the conflation work. MassGIS added several fields to support legacy symbology and labeling. Other edits included modifying some linework in areas of recent construction and roadway reconfiguration to align to 2017-2018 Google ortho imagery, and making minor fixes to attributes and linework.In ArcSDE this layer is named EOTROADS_ARC.From this data layer MassGIS extracted the Major Roads and Major Highway Routes layers.

Geospatial data about Boston, Massachusetts Bridges. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Boston, Massachusetts Open Space. Export to CAD, GIS, PDF, CSV and access via API.

New Boston City Council districts for 2023-2031 municipal elections. Passed by the City Council on May 24th, 2023.The City Council Districts data layer reflects Chapter 9 of the Ordinances of 2022.

The City of Boston adopted a Groundwater Conservation Overlay District (GCOD), zoning Article 32, in sections of the City to protect wood pile foundations of buildings from being damaged by lowered groundwater levels. For more information, visit Zoning Code Article 32 | Boston Groundwater Trust | Boston Water and Sewer Commission

Geospatial data about Boston Homeless Shelters. Export to CAD, GIS, PDF, CSV and access via API.

Authoritative police districts dataset for the City of Boston.

Geospatial data about Boston, Massachusetts Hospitals. Export to CAD, GIS, PDF, CSV and access via API.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TYPE type: Stringwidth: 50precision: 0 Type of pool (above ground or in-ground)

TOP_GL type: Doublewidth: 8precision: 38 Elevation of highest point above ground level (NAVD88)

TOP_SL type: Doublewidth: 8precision: 38 Elevation of highest point above sea level (NAVD88)

BASE_ELEV type: Doublewidth: 8precision: 38 Base elevation of structure (NAVD88)

ELEV_GL type: Doublewidth: 8precision: 38 Elevation of pool above ground level (NAVD88)

ELEV_SL type: Doublewidth: 8precision: 38 Elevation of pool above sea level (NAVD88)

City Council Districts, November 2022. Docket 1275 Committee Report. Created by DoIT GIS

This web scene shows various data layers of the Digital Twin of Boston. This web scene was used for the Boston video shown at the UC2023 plenary.

Roadway resurfacing, roadway reconstruction, and sidewalk reconstruction.

This dataset represents building roof outlines for all buildings in Boston. This dataset was created initially from a flyover in 2011 and is updated periodically based on the aerial imagery and LIDAR data. The layer is maintained by the City of Boston Planning Department's GIS Lab.