Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Future sea level projections are provided for the Massachusetts coastline at established tide gauge stations with long-term records at Boston Harbor, MA; Nantucket, MA; Woods Hole, MA; and Newport, RI. The projections shown in this map layer are adjusted to each station’s mean sea level and converted to the North American Vertical Datum of 1988 (NAVD88).

The analysis for Massachusetts (DeConto and Kopp, 2017) consisted of a probabilistic assessment of future relative sea level rise at each tide gauge location given two future atmospheric greenhouse gas concentration pathways, medium (RCP4.5) and high (RCP8.5), and for two methods of accounting for Antarctic ice sheet contributions to sea level rise: one based on expert elicitation (Kopp, 2014) and one where Antarctic ice sheet projections are driven by new, process-based numerical ice sheet model simulations (DeConto and Pollard, 2016; Kopp, 2017). A multi-year reference time period for relative sea level was used to minimize biases caused by tidal, seasonal, and inter-annual climate variability, following the accepted practice of using a 19-year tidal datum epoch centered on the year 2000 as the ‘zero’ reference for changes in relative sea level rise. To account for the ‘zero’ reference point utilized for the models and to provide elevations on a common geodetic datum, sea level rise model projection values at each tidal station were adjusted to the station’s mean sea level as computed for the 19 year tidal datum epoch of 1999-2017 and converted to NAVD88.

Following the approach in the 2017 National Climate Assessment and the National Oceanic and Atmospheric Administration’s Global and Regional Sea Level Rise Scenarios for the United States, conditional probability distributions for sea level rise projections can be integrated into different scenarios to support planning and decision-making, given uncertainty and future risks. This approach allows for the many different probabilistic projections (i.e., two models each using two greenhouse gas concentration pathways for multiple time series and several probabilities groups) to be filtered into four scenarios. Under this approach, each of the scenarios—Intermediate, Intermediate-High, High, and Extreme—is cross-walked with two or three probabilistic model outputs

On their own, while they are not site-specific projections of mean higher high water levels, these projections provide insight to overall trends in rising sea levels along the Commonwealth coastline, to help coastal municipal officials and workshop participants identify future hazards exacerbated by rising seas.

(For definitions of scenarios and projections shown in this map please reference the section on sea level rise beginning on page 11 of this 2018 report.)

*Please Note that the MA temperature and precipitation projections in this 2018 report have been superseded by those sourced from Cornell University and featured in this map viewer and the Climate Projections Dashboard: Massachusetts Climate and Hydrologic Risk Project (Phase 1) – Stochastic Weather Generator Climate Projections Dataset

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. In the earlier days of surveying, the only way to represent this data was to generate an analog map with contour lines. This dataset is a representation of the digitized contour lines either by following the lines or by choosing the intersection of the contour and flight-line to create a value of the magnetic field. The values presented are latitude, longitude, and map magnetic-field values.

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. In the earlier days of surveying, the only way to represent this data was to generate an analog map with contour lines. This dataset is a representation of the digitized contour lines either by following the lines or by choosing the intersection of the contour and flight-line to create a value of the magnetic field. The values presented are latitude, longitude, and map magnetic-field values.

This data set contains boundary layers for the Nomans Land Island National Wildlife Refuge in Massachusetts.

National Wildlife Refuges are federal lands managed by the U.S. Fish and Wildlife Service (USFWS). The primary source for boundary information is the USFWS Realty program (status maps, legal surveys). A joint effort between the Region 5 (northeast - ME, MA, NH, VT, RI, CT, NY, PA, NJ, MD, VA, WV) GIS Lab and Realty program, has resulted in digital refuge boundaries for all refuges in the northeast at a 1:24,000 scale.

The purpose of this data is to serve as a spatial reference of refuge boundaries for other data layers in GIS and mapping applications. It is specifically not intended to be used as a land survey or representation of land for conveyance or tax purposes. The Realty Survey program in USFWS is developing cadastral information (boundary and acreage data) appropriate for legal purposes. It is expected that data created in this project will be replaced as better survey information is collected.

Status maps were registered to geographic coordinates, boundaries digitized and labeled, then stepped through 3 levels of quality review for spatial and thematic accuracy.

Refuge boundaries define areas that are approved by U.S. Congress for acquisition in the National Wildlife Refuge System, or are currently owned by USFWS. Arcs are coded with an item "boundary" that the type of boundary line and polygons are coded with an item "status" that describes their ownership status.

[Summary provided by U.S. Fish & Wildlife Service]

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

This data set contains boundary layers for the Massasoit Wildlife Refuge in Massachusetts.

National Wildlife Refuges are federal lands managed by the U.S. Fish and Wildlife Service (USFWS). The primary source for boundary information is the USFWS Realty program (status maps, legal surveys). A joint effort between the Region 5 (northeast - ME, MA, NH, VT, RI, CT, NY, PA, NJ, MD, VA, WV) GIS Lab and Realty program, has resulted in digital refuge boundaries for all refuges in the northeast at a 1:24,000 scale.

The purpose of this data is to serve as a spatial reference of refuge boundaries for other data layers in GIS and mapping applications. It is specifically not intended to be used as a land survey or representation of land for conveyance or tax purposes. The Realty Survey program in USFWS is developing cadastral information (boundary and acreage data) appropriate for legal purposes. It is expected that data created in this project will be replaced as better survey information is collected.

Find local risk levels for Eastern Equine Encephalitis (EEE) and West Nile Virus (WNV) based on seasonal testing from June to October.

NOTE: This map service contains a copy of the Section 7 Consultation Area database, slightly reorganized to support the Greater Atlantic Region Section 7 Mapper application. It was not developed with the intent of being viewed on its own. We strongly recommend viewing the linked application to see this map service in its intended context. The original geodatabase:https://noaa.maps.arcgis.com/home/item.html?id=b0421f7c43014cbd98067e3c7d04f939The application:https://noaa.maps.arcgis.com/home/item.html?id=1bc332edc5204e03b250ac11f9914a27This dataset is intended as guidance for Federal action agencies in consideration of Section 7 (S7) of the Endangered Species Act (ESA). The areas depicted represent locations where the Greater Atlantic Regional Fisheries Office (GARFO) has identified species presence and areas of critical habitat for use by Federal action agencies during S7 consultation. S7 Consultation Areas delineate locations where listed species are potentially affected within a river/estuary/marine zone. The Consultation Areas specify which life stages and behaviors may be affected. Please note that due to data limitations, if a Federal action agency project (and associated action area) is outside of a major waterway (e.g., in a very small tributary, or shallow area near a marsh), S7 Consultation Areas may lack the spatial resolution to capture the action area. Therefore, activities outside a Consultation Area but within a certain proximity may still affect the species identified within the Consultation Area. GARFO encourages Federal action agencies to request technical assistance to verify presence/absence of listed species when making consultation determinations. If a user knows of more recent information that is not reflected in the S7 Consultation Area data, please notify us so that we can make appropriate updates (zachary.jylkka@noaa.gov). The NOAA Greater Atlantic Region includes: the states of ME, NH, VT, MA, CT, RI, NY, NJ, PA, DE, MD, DC, VA, WV, OH, MI, IN, IL, WI and MN; Atlantic waters of the US Exclusive Economic Zone from the NC/VA border to US/Canada Maritime Boundary; and US waters of the Great Lakes. Atlantic Large Whales: This data depicts a best estimate of the range of Atlantic large whales in waters of the Greater Atlantic Region as guidance for action agencies. Please note that the distribution of these species may not be exclusively limited to the areas included. Sea Turtles: Sea turtle species in the Greater Atlantic Region include loggerhead, Kemp's ridley, leatherback, and green sea turtles. Hawksbill sea turtles are rare in the Greater Atlantic Region and are not included. Sea turtles move north into these waters in the spring, arriving in more southern waters of the mid-Atlantic in mid-April/May and the Gulf of Maine in June. In the fall, this trend is reversed with most sea turtles leaving Greater Atlantic Region waters by the end of November. Outside of these times, sea turtle presence in these waters is considered unlikely. Atlantic Salmon: The Gulf of Maine distinct population segment (DPS) of Atlantic salmon are an anadromous species found within rivers of Maine, as well as coastal waters encompassed by the Gulf of Maine, Gulf of St. Lawrence, Grand Bank, and the Labrador Sea. NOAA Fisheries has ESA Section 7 jurisdiction over Atlantic salmon in marine and estuarine waters, while the Fish & Wildlife Service has jurisdiction in freshwater. Please note that the distribution of these species may not be exclusively limited to the areas included. Atlantic Sturgeon: There are four distinct population segments (DPS) of Atlantic sturgeon listed as endangered (New York Bight, Chesapeake Bay, Carolina, and South Atlantic) and one DPS listed as threatened (Gulf of Maine) under the ESA. The range for all five DPSs includes marine waters, coastal bays and estuaries, and coastal river systems from the Labrador Inlet in Labrador, Canada to Cape Canaveral, Florida. Shortnose Sturgeon: Shortnose sturgeon are endangered throughout their range, and occur in Atlantic Ocean waters and associated bays, estuaries, and coastal river systems from Minas Basin, Nova Scotia, Canada, to the St. Johns River, Florida. They spend the majority of their lives within coastal river systems, and only adults occur in marine waters, with some adults making coastal migrations between river systems.

Raster stacks containing LT-GEE outputs for the entire FEMC service region from 1985-2023, and their corresponding metadata, in a zipped folder. These 30m resolution maps represent historical disturbances that were detected in Landsat time-series imagery by Landtrendr on Google Earth Engine (LT-GEE) under three different algorithm configurations or 'tunings'. The 'combo6' and 'rt75' tunings included were developed via this project, and a 'defaults' tuning (which we slightly adjusted from actual LT-GEE defaults) is provided for reference. All were based on LT-GEE segmentation of the Normalized Burn Ratio (NBR) spectral index as derived from Landsat c2. These tunings were selected to provide the 'best' overall range of results, based on an iterative cross-validation ('ground-truthing') procedure using extensive land use/harvesting records, time-series imagery (TimeSync) and field reconnaissance. Stacks are rasters (.tif files) with six bands, each band representing an output variable, including year of disturbance, magnitude, duration, rate of change and others (see metadata for detailed variable definitions). As such, they should be visualized and analyzed one variable or band at a time; combining two or more bands for GIS-based visualization is not recommended. Each of the three sets of LT-GEE outputs was further parsed into four geographic subregions within the FEMC service area: 1) NY, 2) ME, 3) MA, CT and RI, 4) VT and NH. This resulted in a total of 12 tif files.

This data set contains boundary layers for the Oxbow National Wildlife Refuge Boundary in Massachusetts.

National Wildlife Refuges are federal lands managed by the U.S. Fish and Wildlife Service (USFWS). The primary source for boundary information is the USFWS Realty program (status maps, legal surveys). An effort by the USFWS Region 5 (northeast states - ME,NH,VT, MA, RI, CT, NY, PA, NJ, MD, DE, WV, VA) Realty Division, Cartography and Spatial Data Services Branch has resulted in digital refuge boundaries for all refuges in the northeast at a scale of 1:24,

The purpose of this data is to serve as a spatial reference of refuge boundaries for other data layers in GIS and mapping applications. It is specifically not intended to be used as a land survey or representation of land for conveyance or tax purposes.

Status maps were registered to geographic coordinates, boundaries were digitized and labeled. Digital files were updated using survey and collateral data, then stepped through 3 levels of quality-control review for spatial and thematic accuracy.

[Summary provided by U.S. Fish & Wildlife Service]

This data set contains boundary layers for the Salt Meadow Division of the Stewart B. McKinney National Wildlife Refuge in Connecticut.

National Wildlife Refuges are federal lands managed by the U.S. Fish and Wildlife Service (USFWS). The primary source for boundary information is the USFWS Realty program (status maps, legal surveys). An effort by the USFWS Region 5 (northeast states - ME,NH,VT, MA, RI, CT, NY, PA, NJ, MD, DE, WV, VA) Realty Division, Cartography and Spatial Data Services Branch has resulted in digital refuge boundaries for all refuges in the northeast at a scale of 1:24,000.

The intended application of the data is to serve as a spatial reference of refuge boundaries for other data layers in GIS and mapping applications. It is specifically not intended to be used as a land survey or representation of land for conveyance or tax purposes.

Status maps were registered to geographic coordinates, boundaries were digitized and labeled. Digital files were updated using survey and collateral data, then stepped through 3 levels of quality-control review for spatial and thematic accuracy.

[Summary provided by U.S. Fish & Wildlife Service]

This data set contains boundary layers for the John Heinz at Tinicum National Wildlife Refuge in Pennsylvania.

National Wildlife Refuges are federal lands managed by the U.S. Fish and Wildlife Service (USFWS). The primary source for boundary information is the USFWS Realty program (status maps, legal surveys). A joint effort between the Region 5 (northeast - ME, MA, NH, VT, RI, CT, NY, PA, NJ, MD, VA, WV) GIS Lab and Realty program, has resulted in digital refuge boundaries for all refuges in the northeast at a 1:24,000 scale.

The purpose of this data is to serve as a spatial reference of refuge boundaries for other data layers in GIS and mapping applications. It is specifically not intended to be used as a land survey or representation of land for conveyance or tax purposes. The Realty Survey program in USFWS is developing cadastral information (boundary and acreage data) appropriate for legal purposes. It is expected that data created in this project will be replaced as better survey information is collected.

Status maps were registered to geographic coordinates, boundaries digitized and labeled, then stepped through 3 levels of quality review for spatial and thematic accuracy.

Refuge boundaries define areas that are approved by U.S. Congress for acquisition in the National Wildlife Refuge System, or are currently owned by USFWS. Arcs are coded with an item "boundary" that the type of boundary line and polygons are coded with an item "status" that describes their ownership status.

[Summary provided by U.S. Fish & Wildlife Service]