Open spaces of conservation and recreation interest in Boston, Massachusetts, USA, regardless of ownership.

City of Boston boundary that excludes water.

Boston MA city boundary including water features.

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

Water body features within the City of Boston.

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 parking meters. Updated and maintained by Boston Transportation Department (BTD) Parking Clerk.

This layer represents City of Boston Zoning Subdistrict boundaries indicating geographic areas subject to specific zoning guidelines. Developed and maintained by the Planning Department GIS in accordance with the Boston Zoning Code.

This dataset contains an inventory of existing bicycle facilities within the City of Boston. It is intended for information purposes only. It is not intended to aid in trip routing. Actual conditions may vary from what is indicated in the dataset due to construction or other reasons. Updated by BTD in January 2023.

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.

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

City Council redistricting working session 09_20_22. Doit GIS and Councilor Breadon office, 09-20-2022. Docket #1098

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

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