This is a seamless bare earth digital elevation model (DEM) created from lidar terrain elevation data for the Commonwealth of Massachusetts. It represents the elevation of the surface with vegetation and structures removed. The spatial resolution of the map is 1 meter. The elevation of each 1-meter square cell was linearly interpolated from classified lidar-derived point data.This version of the DEM stores the elevation values as integers. The native VALUE field represents the elevation above/below sea level in meters. MassGIS added a FEET field to the VAT (value attribute table) to store the elevation in feet as calculated by multiplying VALUE x 3.28084.Dates of lidar data used in this DEM range from 2010-2015. The overlapping lidar projects were adjusted to the same projection and datum and then mosaicked, with the most recent data replacing any older data. Several very small gaps between the project areas were patched with older lidar data where necessary or with models from recent aerial photo acquisitions. See https://www.mass.gov/doc/lidar-project-areas-original/download for an index map.This DEM is referenced to the WGS_1984_Web_Mercator_Auxiliary_Sphere spatial reference.See the MassGIS datalayer page to download the data as a file geodatabase raster dataset.View this service in the Massachusetts Elevation Finder.

This map service from MassGIS displays the Lidar (2013-2021) DEM Mosaic Index with download URLs. The Best Quality Lidar layer is symbolized by year and quality level.This layer is used in the Lidar 2013-2021 DEM Mosaic Index app.

This shaded relief image was generated from the lidar-based bare-earth digital elevation model (DEM). A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon.The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.Using ERDAS IMAGINE, a 3X3 neighborhood around each pixel in the DEM was analyzed, and a comparison was made between the sun's position and the angle that each pixel faces. The pixel was then assigned a value between -1 and +1 to represent the amount of light reflected. Negative numbers and zero values represent shadowed areas, and positive numbers represent sunny areas. In ArcGIS Desktop 10.7.1, the image was converted to a JPEG 2000 format with values from 0 (black) to 255 (white).See the MassGIS datalayer page to download the data as a JPEG 2000 image file.View this service in the Massachusetts Elevation Finder.MassGIS has also published a Lidar Shaded Relief tile service (cache) hosted in ArcGIS Online.

This tile service, hosted by MassGIS, features Lidar-derived elevation and shaded relief for the Commonwealth of Massachusetts.

The service uses statewide versions of the digital elevation model and shaded relief from the Lidar DEM and Shaded Relief imagery.MassGIS created the tile service in ArcGIS Pro, using the "Multiply" Darkening blending mode to "burn in" the shaded relief to the elevation layer. The elevation layer is symbolized with a custom color ramp. The shaded relief is displayed with 45% transparency.View the data along with an elevation image service in the Massachusetts Elevation Finder.

This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This is Digital Elevation Model data for the study area, in a 30-meter grid. The source elevation tile data was provided on the MassGIS website www.state.ma.us/mgis/massgis.htm in ESRI-format shapefile format and imported into IDRISI software using the ShapeIdr command. The resulting vector elevation files were converted to raster format using successive Lineras macro commands. This has the effect of mosaicing the tiles as well. The raster image was filtered once using a low-pass (mean) filter, then masked to the Ipswich study area parameters (extent). This datalayer was produced as part of a research project concerning the Ipswich River Watershed.

The Long Distance Trails line data layer represents trails in Massachusetts that are longer than 25 miles. The data were created for the purpose of regional planning and mapping by the Massachusetts Department of Environmental Management (DEM), now the Department of Conservation and Recreation (DCR) and was modified for the DEM by the University of Massachusetts in 1997. DCR updated most of the trails with more accurate source data in 2015.More details...Feature service also available.

The Long Distance Trails line data layer represents trails in Massachusetts that are longer than 25 miles. The data were created for the purpose of regional planning and mapping by the Massachusetts Department of Environmental Management (DEM), now the Department of Conservation and Recreation (DCR) and was modified for the DEM by the University of Massachusetts in 1997. DCR updated most of the trails with more accurate source data in 2015.More details...Map service also available.

This shaded relief image was generated from the lidar-based bare-earth digital elevation model (DEM). A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon.The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.Using ERDAS IMAGINE, a 3X3 neighborhood around each pixel in the DEM was analyzed, and a comparison was made between the sun's position and the angle that each pixel faces. The pixel was then assigned a value between -1 and +1 to represent the amount of light reflected. Negative numbers and zero values represent shadowed areas, and positive numbers represent sunny areas. In ArcGIS Desktop 10.7.1, the image was converted to a JPEG 2000 format with values from 0 (black) to 255 (white).See the MassGIS datalayer page to download the data as a JPEG 2000 image file.View this service in the Massachusetts Elevation Finder.MassGIS has also published a Lidar Shaded Relief image service from ArcGIS Server.

MassGIS derived these contours from the USGS 2021 Central Eastern MA Lidar Project data.The Hydro-enforced digital elevation model (DEM) and water's edge breaklines were processed in ArcGIS Pro 3.0.3 using the Contours with Barriers3D Analyst Tool using a contour interval of 0.3048 (meters).The resultant isolines' meter elevations were then multiplied by 3.28084 in a new field to display the elevations with a vertical resolution of 1.0 foot

The shaded relief image in this tile service was generated from a half-meter lidar-based bare-earth DEM. A shaded relief image provides an illustration of variations in elevation using artificial shadows. Based on a specified position of the sun, areas that would be in sunlight are highlighted and areas that would be in shadow are shaded. In this instance, the position of the sun was assumed to be 45 degrees above the northwest horizon. The shaded relief image shows areas that are not in direct sunlight as shadowed. It does not show shadows that would be cast by topographic features onto the surrounding surface.See MassGIS' Lidar Terrain Data page for more information.

The Massachusetts Office of Coastal Zone Management (CZM) extracted a subset of the National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management's sea level rise inundation dataset for use in the CZM Sea Level Rise and Coastal Flooding Viewer. These data are derived from a static “bathtub” model that does not account for storm surge, waves, erosion, and other dynamic factors.NOAA created the dataset for use in their own online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of their mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. NOAA's Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr/.NOAA's data depict the potential inundation of coastal areas resulting from a projected 1 to 10 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.See NOAA's detailed methodology for producing these data.MassGIS downloaded all data from https://coast.noaa.gov/slrdata/ and combined the separate inundation polygon feature classes into one feature class that contains no overlap for Massachusetts. CZM downloaded the combined feature class from MassGIS, then extracted a subset of sea level rise scenarios (1-6 feet) for use in the CZM Sea Level Rise and Coastal Flooding Viewer.

Title: Boston Archdioceses 5 ft Sea Level InundationThese data are for planning, educational, and awareness purposes only and should not be used for site-specific analysis, navigation, or permitting.App and Map Development: “Boston Archdioceses 5 ft Sea Level Inundation”. Scale not given. Version 1.0. CT, USA: GoodLands Inc. 2019.Catholic Data: “USCCB Institution Extraction from Parcel Properties”. Scale not given. Version 1.0. CT, USA: GoodLands Inc. 2017.Sea Level Rise Data:Title:NOAA Office for Coastal Management Sea Level Rise Data: 1-6 ft Sea Level Rise Inundation ExtentShort Name:NOAA_OCM_SLR_1to6ft_metadataStatus:CompletedPublication Date:2016Abstract:These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an onlinemapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping vieweris to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is ascreening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to helpgauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at:https://www.coast.noaa.gov/slrThese data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above currentMean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attemptsto account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive thefinal inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM)of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National GeodeticSurvey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods andrepresents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988).The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simplya method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.Purpose:The purpose of these data is to show potential sea level rise inundation ranging from 1 to 6 feet above current Mean Higher High Water (MHHW)for the area. Although the water surface mapped represents a particular increase in sea level in feet above MHHW, the actual cell values inthe raster dataset represent depth in meters.Notes:10963Supplemental Information:A detailed methodology for producing these data can be found via the following url:https://coast.noaa.gov/data/digitalcoast/pdf/slr-inundation-methods.pdfSpatial_Reference_Information:Horizontal_Coordinate_System_Definition:Geographic:Latitude_Resolution: 0.0000001Longitude_Resolution: 0.0000001Geographic_Coordinate_Units: Decimal degreesGeodetic_Model:Horizontal_Datum_Name: North American Datum of 1983Ellipsoid_Name: Geodetic Reference System 80Semi-major_Axis: 6378137.000000Denominator_of_Flattening_Ratio: 298.257222101Vertical_Coordinate_System_Definition:Altitude_System_Definition:Altitude_Datum_Name: North American Vertical Datum of 1988Altitude_Resolution: 0.001Altitude_Distance_Units: metersAltitude_Encoding_Method: Explicit elevation coordinate included with horizontal coordinatesKeil Schmid, Brian Hadley, and Kirk Waters (2014) Mapping and Portraying Inundation Uncertainty of Bathtub-Type Models. Journal of Coastal Research: Volume 30, Issue 3: pp. 548 – 561.Documentationhttps://coast.noaa.gov/digitalcoast/tools/slr.htmlBoston Archdioceses High Resolution Boundary, derived from:MassGIS Data: County Boundaries: https://docs.digital.mass.gov/dataset/massgis-data-county-boundariesContributorMassGIS (Bureau of Geographic Information)Modified Date2018-12-05Release Date2018-12-05Identifier2f6f9906-5088-47d7-917a-fee2e4ab1db1Spatial / Geographical Coverage LocationMassachusettsLicenseCreative Commons AttributionAuthorMassGISContact NameMassGISContact Emailmassgismail@mass.govPublic Access LevelPublicData QualityFalseContent TypeDataLanguageEnglish (United States)