70 datasets found
  1. 2012 FEMA Risk Map Lidar: Merrimack River Watershed (Massachusetts, New...

    • fisheries.noaa.gov
    las/laz - laser
    Updated Jul 19, 2013
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    OCM Partners (2013). 2012 FEMA Risk Map Lidar: Merrimack River Watershed (Massachusetts, New Hampshire) [Dataset]. https://www.fisheries.noaa.gov/inport/item/49848
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    las/laz - laserAvailable download formats
    Dataset updated
    Jul 19, 2013
    Dataset provided by
    OCM Partners
    Time period covered
    Nov 11, 2011 - Jan 11, 2012
    Area covered
    Description

    These data are the lidar points collected for FEMA Risk Mapping, Assessment, and Planning (Risk MAP) for the Merrimack River Watershed. This area falls in portions of Hillsborough, Belknap, Merrimack, Rockingham and Strafford counties in New Hampshire and portions of Essex, Middlesex and Worcester counties in Massachusetts. Using a Leica ALS60 LiDAR system, a total of 268 flight lines of hig...

  2. e

    Data from: Imputed Forest Composition Map for New England Screened by...

    • portal.edirepository.org
    • dataone.org
    • +1more
    jpeg, zip
    Updated Dec 8, 2023
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    Matthew Duveneck; Jonathan Thompson; B. Tyler Wilson (2023). Imputed Forest Composition Map for New England Screened by Species Range Boundaries 2001-2006 [Dataset]. http://doi.org/10.6073/pasta/826498f813973eea1bd386b2e14283a7
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    zip(3430616 byte), jpeg(5663857 byte)Available download formats
    Dataset updated
    Dec 8, 2023
    Dataset provided by
    EDI
    Authors
    Matthew Duveneck; Jonathan Thompson; B. Tyler Wilson
    License

    https://spdx.org/licenses/CC0-1.0https://spdx.org/licenses/CC0-1.0

    Time period covered
    2001 - 2006
    Area covered
    Description

    Initializing forest landscape models (FLMs) to simulate changes in tree species composition requires accurate fine-scale forest attribute information mapped contiguously over large areas. Nearest-neighbor imputation maps have high potential for use as the initial condition within FLMs, but the tendency for field plots to be imputed over large geographical distances results in species frequently mapped outside of their home ranges, which is problematic. We developed an approach for evaluating and selecting field plots for imputation based on their similarity in feature-space, their species composition, and their geographical distance between source and imputation to produce a map that is appropriate for initializing an FLM. We applied this approach to map 13m ha of forest throughout the six New England states (Rhode Island, Connecticut, Massachusetts, New Hampshire, Vermont, and Maine). The map itself is a .img raster file of FIA plot CN numbers. To access FIA data from this map, one has to link the mapcodes in this map to FIA data supplied by USDA FIA database (https://apps.fs.usda.gov/fia/datamart/datamart.html). Due to plot confidentiality and integrity concerns, pixels containing FIA plots were always assigned to some other plot than the actual one found there.

  3. d

    Bathymetric data collected by the U.S. Geological Survey and the National...

    • datasets.ai
    • search.dataone.org
    • +3more
    55
    Updated Sep 7, 2024
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    Department of the Interior (2024). Bathymetric data collected by the U.S. Geological Survey and the National Oceanic and Atmospheric Administration offshore of Massachusetts between Duxbury and Hull (DH_bathy5m, Esri binary grid, UTM Zone 19, WGS84) [Dataset]. https://datasets.ai/datasets/bathymetric-data-collected-by-the-u-s-geological-survey-and-the-national-oceanic-and-atmos
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    55Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Massachusetts, Duxbury
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

  4. 2011 FEMA Risk Mapping, Assessment, and Planning (Risk MAP) Lidar: Nashua...

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    html
    Updated Jul 18, 2013
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    OCM Partners (2013). 2011 FEMA Risk Mapping, Assessment, and Planning (Risk MAP) Lidar: Nashua River Watershed (Massachusetts, New Hampshire) [Dataset]. https://www.fisheries.noaa.gov/inport/item/49847
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    htmlAvailable download formats
    Dataset updated
    Jul 18, 2013
    Dataset provided by
    OCM Partners
    Time period covered
    May 6, 2011 - May 7, 2011
    Area covered
    Description

    These data are the lidar points collected for FEMA Risk Mapping, Assessment, and Planning (Risk MAP) for the Nashua River Watershed. This area falls in portions of Hillsborough County in New Hampshire and portions of Middlesex and Worcester counties in Massachusetts. Using a Leica ALS60 LiDAR system, a total of 35 flight lines of high density (Nominal Pulse Spacing of 2.0 m) were collected over...

  5. m

    MassDEP Eelgrass Mapping Project (Feature Service)

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    Updated Dec 6, 2023
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    MassGIS - Bureau of Geographic Information (2023). MassDEP Eelgrass Mapping Project (Feature Service) [Dataset]. https://gis.data.mass.gov/maps/06aaf0fdd9f54a11b815a169fde88989
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    Dataset updated
    Dec 6, 2023
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Seagrass beds are critical wetlands components of shallow marine ecosystems along the Massachusetts coastline. Seagrass beds provide food and cover for a great variety of commercially and recreationally important fauna and their prey. The leaf canopy of the seagrass bed calms the water, filters suspended matter and together with extensive roots and rhizomes, stabilizes sediment. Seagrasses are often referred to as "Submerged Aquatic Vegetation" or SAV. This distinguishes them from algae, which are not classified as plants by biologists (rather they are often placed in the kingdom protista), and distinguishes them from the "emergent" saltwater plants found in salt marshes.

    In Massachusetts, the dominant SAV is Zostera marina or eelgrass. The other species found in the embayments of the Massachusetts coast is Ruppia maritima, commonly called “widgeon grass,” which is present in areas of less salinity along Cape Cod and Buzzards Bay. Widgeon grass, found in the upper reaches of embayments, has a thread-like morphology that makes it difficult to identify using remotely sensed data. It can only be identified and located by on-site survey.

    The Massachusetts Department of Environmental Protection (MassDEP) began a program to map the state's SAV resources in the early 1990s and since 1995 the MassDEP Eelgrass Mapping Project has produced multiple surveys of SAV along the Massachusetts coastline, as listed here:

    PhaseProject YearsProject Area11995Entire MA Coast22001Coast-wide MA Coast except Elizabeth Islands (Gosnold) and Mount Hope Bay32006/07Selected embayments, coast-wide including Elizabeth Islands42010-20132010 - South Shore of Cape Cod: Woods Hole to Chatham, selected embayments, Pleasant Bay;2012 - North Shore, Boston Harbor, South Shore to Provincetown;2013 - Buzzards Bay, Elizabeth Islands, Martha's Vineyard and Nantucket52015-20172015 - South Shore of Cape Cod, Pleasant Bay, Nantucket;2016 - North Shore, Boston Harbor, South Shore to Canal;2017 - Buzzards Bay, North Shore of Cape Cod, Elizabeth Islands and Martha's Vineyard62019-20232019 - South Shore of Cape Cod, Pleasant Bay, North Shore of Nantucket2020 - Martha’s Vineyard, Buzzards Bay and Elizabeth Islands 2021 - Cape Cod Bay (Provincetown through Duxbury) 2022 - South Shore, Boston Harbor, North Shore (Marshfield through Rockport)2023 - Cape Ann to the New Hampshire border (Essex through Newburyport)

    View full metadata

    Also see the map service.

  6. d

    1 meter Klein 3000 sidescan-sonar backscatter GeoTIFF mosaic of the...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 1 meter Klein 3000 sidescan-sonar backscatter GeoTIFF mosaic of the nearshore portion of the Cape Ann to Salisbury Beach Massachusetts survey area (KLEIN_BS1M.tif, UTM Zone 19, WGS84) [Dataset]. https://catalog.data.gov/dataset/1-meter-klein-3000-sidescan-sonar-backscatter-geotiff-mosaic-of-the-nearshore-portion-of-t
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Salisbury, Massachusetts, Cape Ann
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine reserves, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reportshttp://woodshole.er.usgs.gov/project-pages/coastal_mass/. This spatial dataset is from the Cape Ann and Salisbury Beach Massachusetts project area. They were collected in two separate surveys in 2004 and 2005 and cover approximately 325 square kilometers of the inner continental shelf. High resolution bathymetry and backscatter intensity were collected in 2004 and 2005. Seismic profile data, sediment samples and bottom photography were also collected in 2005.

  7. d

    Bottom photographs collected in the Cape Ann - Salisbury Beach Massachusetts...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Bottom photographs collected in the Cape Ann - Salisbury Beach Massachusetts Survey Area (SEABOSS_Photos) [Dataset]. https://catalog.data.gov/dataset/bottom-photographs-collected-in-the-cape-ann-salisbury-beach-massachusetts-survey-area-sea
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Salisbury, Massachusetts, Cape Ann
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine reserves, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (https://woodshole.er.usgs.gov/project-pages/coastal_mass/). This spatial dataset is from the Cape Ann and Salisbury Beach Massachusetts project area. The data collected in two separate surveys in 2004 and 2005 and cover approximately 325 square kilometers of the inner continental shelf. High resolution bathymetry and backscatter intensity were collected in 2004 and 2005. Seismic profile data, sediment samples and bottom photography were also collected in 2005.

  8. A

    North Atlantic Environmental Sensitivity Index (ESI) Massachusetts (2001),...

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    Updated Aug 13, 2022
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    United States (2022). North Atlantic Environmental Sensitivity Index (ESI) Massachusetts (2001), Delaware Bay (1996), New Hampshire (2004), Hudson River (2006), and Rhode Island, Connecticut, NY/NJ Metro Area (2001) maps and geographic information systems data (NCEI Accession 0020555) [Dataset]. https://data.amerigeoss.org/dataset/north-atlantic-environmental-sensitivity-index-esi-massachusetts-2001-delaware-bay-1996-new-ham1
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    Dataset updated
    Aug 13, 2022
    Dataset provided by
    United States
    Area covered
    Delaware Bay, Hudson River, Delaware, Connecticut, New York, Rhode Island, New Jersey, New Hampshire, Massachusetts
    Description

    These ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. ESI MAPS SHOULD NOT BE USED FOR NAVIGATIONAL PURPOSES. Source data used in the development of these regional atlases range from 1900 to 2005 with much of the data dated from the 1980s, 1990s, to 2005. Source data dates are extensively documented in the included metadata and include the following DE_NJ_PA, data range 1969-1995, compiled 1995, HudsonRiver data range 1942-2005, compiled 2005, Massachusetts data range 1978-1998, compiled 1998, New Hampshire data range 1948-2003, compiled 2003, and RI_CT_NY_NJ data range 1900-2001, compiled 1999.

    This atlas update adds data formats to those originally released to accommodate new technologies of digital mapping. The underlying data have not been updated since the atlas publication dates shown. Each ESI atlas listed is provided in a variety of GIS formats, including a personal Geodatabase for use with the ESRI ArcGIS product line. An .mxd file, created in ArcMap 9.3 is also included. This mapping document provides links to all of the data tables and symbolization of the layers using the standardized ESI colors and hatch patterns. Layer files are also supplied. These, together with the associated geodatabase, can be used in other mapping projects to define the symbology and links established in the original ESI .mxd file.

    PDF files of the map pages are also included. These PDFS now have the seasonality pages attached to the appropriate map document. This should make it easier to print and distribute individual maps and insure that the supporting information is always included. The GIS data are also provided in ARC Export .e00 format, as shape files with an ArcView 3.x project and in MOSS format. Database files are included in text and .e00 format. Each area directory contains a readme file which shows the area of coverage and gives a bit more description of the various file formats included.

  9. d

    10 meter bathymetric contours of the Duxbury-Hull MA Survey Area...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). 10 meter bathymetric contours of the Duxbury-Hull MA Survey Area (DH_BATHCNTR_10m shapefile, Geographic, WGS84) [Dataset]. https://catalog.data.gov/dataset/10-meter-bathymetric-contours-of-the-duxbury-hull-ma-survey-area-dh-bathcntr-10m-shapefile
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts, Duxbury, Hull
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

  10. n

    C-CAP US (United States) Coastal Land Cover Project: Massachusetts 1996

    • cmr.earthdata.nasa.gov
    Updated Sep 10, 2019
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    (2019). C-CAP US (United States) Coastal Land Cover Project: Massachusetts 1996 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214591744-SCIOPS
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    Dataset updated
    Sep 10, 2019
    Time period covered
    Jun 15, 1994 - Jul 29, 1996
    Area covered
    United States, Massachusetts
    Description

    This data set contains the 1995-era or early-date classifications of US coastal zone 65 and can be used to analyze change. This imagery was collected as part of the Multi-Resolution Land Characteristics program in a multi-agency effort to provide baseline multi-scale environmental characteristics and to monitor environmental change. This data set utilized 10 full or partial Landsat scenes which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. Note: These data were reprojected from their native projection into North American Datum 1983 (NAD83) / Massachusetts State Plane coordinate system, Mainland Zone (Fipszone 2001) meters by the Massachusetts Office of Coastal Zone Management on Oct. 12, 2006.

    SUPPLEMENTAL INFORMATION: This Classification and change analysis is based on Landsat TM scenes: p11r30 (08/14/1995), p11r31 (09/12/1994), p12r30 (07/04/1995), p12r31 (08/21/1995), p12r32 (06/15/1994), p13r30 (07/29/1996), p13r31 (08/09/1994), p13r32 (08/09/1994), p14r29 (05/31/1995)

  11. d

    Data from: Generalized lithology and lithogeochemical character of...

    • datadiscoverystudio.org
    zip
    Updated May 21, 2018
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    (2018). Generalized lithology and lithogeochemical character of near-surface bedrock in the New England region. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/b76769756d1742b48d50b0036b184348/html
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    zipAvailable download formats
    Dataset updated
    May 21, 2018
    Area covered
    New England
    Description

    description: This geographic information system (GIS) data layer shows the dominant lithology and geochemical, termed lithogeochemical, character of near-surface bedrock in the New England region covering the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The bedrock units in the map are generalized into groups based on their lithological composition and, for granites, geochemistry. Geologic provinces are defined as time-stratigraphic groups that share common features of age of formation, geologic setting, tectonic history, and lithology. This data set incorporates data from digital maps of two NAWQA study areas, the New England Coastal Basin (NECB) and the Connecticut, Housatonic, and Thames River Basins (CONN) areas and extends data to cover the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The result is a regional dataset for the lithogeochemical characterization of New England (the layer named NE_LITH). Polygons in the final coverage are attributed according to state, drainage area, geologic province, general rock type, lithogeochemical characteristics, and specific bedrock map unit.; abstract: This geographic information system (GIS) data layer shows the dominant lithology and geochemical, termed lithogeochemical, character of near-surface bedrock in the New England region covering the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The bedrock units in the map are generalized into groups based on their lithological composition and, for granites, geochemistry. Geologic provinces are defined as time-stratigraphic groups that share common features of age of formation, geologic setting, tectonic history, and lithology. This data set incorporates data from digital maps of two NAWQA study areas, the New England Coastal Basin (NECB) and the Connecticut, Housatonic, and Thames River Basins (CONN) areas and extends data to cover the states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. The result is a regional dataset for the lithogeochemical characterization of New England (the layer named NE_LITH). Polygons in the final coverage are attributed according to state, drainage area, geologic province, general rock type, lithogeochemical characteristics, and specific bedrock map unit.

  12. a

    New England / Mid-Atlantic EFH Data

    • noaa.hub.arcgis.com
    Updated Dec 9, 2020
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    NOAA GeoPlatform (2020). New England / Mid-Atlantic EFH Data [Dataset]. https://noaa.hub.arcgis.com/maps/604b6d6aec6e4853a90eb9055f577526
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    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    NOAA GeoPlatform
    Area covered
    Description

    New England and the Mid-Atlantic includes the states of Maine, New Hampshire, Massachusetts, Rhode Island, Connecticut, New York, New Jersey, Pennsylvania, Maryland, Delaware, and Virginia. Essential fish habitat (EFH) has been designated and described by the New England Fishery Management Council and Mid-Atlantic Fishery Management Council for over 150 species collectively in NOAA Fisheries’ Greater Atlantic region. This web map provides a subset of EFH and other related data sets specifically for New England and the Mid-Atlantic only although there may be some species' habitat that extend beyond the states defined in this text. NOAA Fisheries and the fishery management councils have identified and described EFH as habitat necessary to fish, for spawning, breeding, feeding, or growth to maturity. For more information, please see this link:EFH in New England/Mid-Atlantic

  13. a

    Draft Maine, New Hampshire, and Massachusetts Port Access Route Study...

    • noaa.hub.arcgis.com
    Updated Apr 24, 2024
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    NOAA GeoPlatform (2024). Draft Maine, New Hampshire, and Massachusetts Port Access Route Study Fairways [Dataset]. https://noaa.hub.arcgis.com/maps/noaa::draft-maine-new-hampshire-and-massachusetts-port-access-route-study-fairways
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    Dataset updated
    Apr 24, 2024
    Dataset authored and provided by
    NOAA GeoPlatform
    Area covered
    Description

    This study evaluates the efficacy of current vessel routing measures to determine the need and applicability for modifications or the establishment of new routing measures. In addition to determining the need for adjusting or establishing new traffic separation schemes (TSS) and shipping safety fairways (fairways), other measures including two-way routes, recommended routes, deep-water routes, precautionary areas, and areas to be avoided, were also considered. Several ports within the study area are considered economically significant and/or are critical to the nation’s military and national defense operations and serve as international entry and departure transit areas that are integral to the safe, efficient, and unimpeded flow of commerce to/from major international shipping lanes. While recognizing the paramount right of navigation within designated areas, this study seeks to reconcile the need for safe access routes with other reasonable waterway uses such as anchorages, construction, renewable energy facilities, marine sanctuary operations, commercial and recreational activities, and other uses. For more details, see the USCG’s official report.Data source: received directly from USCG

  14. n

    Fishing - Northeast Region

    • opdgig.dos.ny.gov
    • new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com
    Updated Nov 8, 2022
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    New York State Department of State (2022). Fishing - Northeast Region [Dataset]. https://opdgig.dos.ny.gov/datasets/NYSDOS::fishing-northeast-region/about
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    Dataset updated
    Nov 8, 2022
    Dataset authored and provided by
    New York State Department of State
    Area covered
    Description

    Survey participants plotted activity points using an interactive mapping tool.The 2012 Northeast Recreational Boater Survey was conducted by SeaPlan, the Northeast Regional Ocean Council (NROC), states’ coastal agencies, marine trade associations composed of many private industry representatives, and the First Coast Guard District. The methodology for the 2012 Northeast Recreational Boater Survey follows a protocol similar to the 2010 Massachusetts Survey with modifications based on the lessons learned and recommendations suggested in the Massachusetts Survey Final Report.The methodology consists of surveying a random sample of selected boat owners throughout the Northeast through a series of monthly online surveys. The surveying period lasted throughout the 2012 boating season (May 1 through October 31, 2012), which was identified by the advisory committee (consisting of NROC and representatives from the recreational boating industry).The project team decided to use a random sample survey approach because it successfully gathered statistically robust economic and spatial data on recreational boating activity by Massachusetts registered boaters during the 2010 boating season. This was also the only approach that would allow for the calculation of statistically robust economic impact estimates for both the states and the region, which was identified as a priority (along withspatial data) by both NROC and the boating industry.

    This dataset can be used by coastal planners in ocean planning activities to develop a better understanding of how and where humans use the ocean in the Northeast to inform regional ocean planning and minimize ocean use conflicts. This effort also fulfilled a recommendation from the 2010 Massachusetts Survey to expand the survey’s geographic range to the Northeast Region, allowing for the capture of interstate traffic between states in the Northeast. Furthermore, this dataset can also be used by the boating industry to show the importance of recreational boating to the region and to inform business planning.

    Supplemental Information; SURVEY SAMPLING METHODOLOGY - The sample for this survey came from seven databases, including the U.S. Coast Guard Documented Vessel Database and databases of state registered boaters from New York, Connecticut, Rhode Island, Massachusetts, New Hampshire, and Maine. Recreational boaters who owned vessels that met the following criteria were eligible for the survey: * Registration: Currently registered with a state in the Northeast and/or registered as a documented vessel with the U.S. Coast Guard, with a hailing port in the Northeast * Primary Use: Recreational use designation * Length: At least 10 feet in length * Saltwater (if specified; only Maine and New Hampshire required this information) * Location: Located in a “coastal county”. The survey team defined “coastal counties” as those that border saltwater, or those that were highlighted by state coastal planners as likely containing large amount of saltwater boating activity. Based on the 2010 Massachusetts Survey and budgetary considerations, the project team determined an overall sample size that would provide sufficient spatial and economic data for both each state, as well as the whole Northeast. Because of the, at times, large discrepancies between the number of eligible boats in some states, the team decided that certain states with fewer eligible boats should also have a supplemental sample of boats in addition to the pure random sample. To ensure the sample represented the total population of registered boats in the Northeast, the sampling method included considerations of state, geography and size class. Of the 373,766 boats eligible for the survey, the base of randomly sampled boats included 50,000 boats from across all six states. In addition to this base, the survey team sampled 17,772 boats as a supplemental sample, including: 1,772 boats of 26 feet in length or more from across all six states to increase the number of large boats in the sample, and 16,000 additional boats to ensure each state had enough responses for the statistical analysis. These included 10,000 boats from Maine, 2,500 boats from Rhode Island, 2,000 boats from New Hampshire and 1,500 boats from Connecticut. This resulted in a total of 67,772 boaters invited to participate in the study. Boater Recruitment and Response: In the survey invitation package, the survey team also sent invited boaters a questionnaire to verify eligibility to participate in the survey. Eligibility requirements consist of: boat is used in saltwater; boat is used for recreational purposes; and boaters have access to the internet with a working email address. 12,218 boaters responded to the invitation; however only 7,800 of these respondents were found to meet all of the above criteria. From this sample, 4,297 individual boaters completed at least one monthly survey. Surveying Process: The study consisted of six monthly surveys and one end of season survey. The online monthly surveys gathered spatial and economic data on recreational boating activity that occurred during the previous month. The online survey had two parts: 1) a survey with questions about general boating activity during the previous month, and the boater’s last trip of the month (specifically focusing on spending), and 2) a mapping application developed by Ecotrust where boaters plotted their boating route and identified any areas where they participated in activities, such as fishing, diving, wildlife viewing, swimming and relaxing at anchor. The end of season survey gathered a variety of information that could not be gathered in the monthly surveys. The end of season survey contained questions about yearly boating-related expenditures (e.g., dockage, storage, taxes, yearly maintenance), feedback on the survey itself, and general boating-related questions (e.g. whether boaters have taken a boating safety course). Density Analysis: The density analysis described in the following paragraphs was vetted by a technical advisory team consisting of representatives from the Massachusetts Office of Coastal Zone Management (MA CZM), NROC, Maine Coastal Program and Applied Science Associates (ASA) and was based on mapping and analysis protocols from the 2010 Massachusetts Survey. To develop the density layer, vessel routes were drawn in WGS 1984 in the Ecotrust mapping application and were imported into Excel, then ArcMap using a data frame in that coordinate system. Routes from the random sample were selected from that data layer, and the data layer was re-projected into two separate shapefiles, one in UTM 18 and one in UTM 19. A line density analysis using a 250 m square grid cell with a 675 m neighborhood was applied to each shapefile. The 675 m neighborhood was applied to account for inherent user error in the mapping tool. The line density analysis resulted in a raster grid for each UTM zone. Each raster was clipped by the boundaries of its UTM zone, re-projected into the North American Albers Equal Area Conic Projection, and the separate rasters were mosaicked together. At the boundary of the two raster grids there was a line of cells with no data value. This was a result of mosaicking rasters that originated in different coordinate systems. To approximate values in the blank cells, each blank cell was populated by a value from a focal statistics calculation. The focal statistics expression took the mean of all cells in a 4x4 neighborhood around each blank cell. The values were then converted to Z-scores using the raster calculator by taking the log of the density values, subtracting the mean value, and dividing the resulting value by the standard deviation of the value. This layer was clipped again using the NOAA medium resolution shoreline dataset. DATA PROCESSING Processing environment: ArcGIS 10.05, Windows 7 Ultimate SP5, Intel Xeon CPU Process Steps Description 1 Raw routes from mapping application imported into ArcMap 2 Routes from random sample selected using select by attributes query 3 Routes projected into two separate shapefiles (UTM Zones 18 & 19) 4 LINE DENSITY tool in spatial analyst applied to each shapefile using a 250 m square grid with a 675 m neighborhood 5 Resulting rasters clipped to their respective UTM Zones using the EXTRACT BY MASK tool 6 Rasters reprojected to North America Albers Equal Area Conic Projection, using PROJECT tool 7 MOSAIC tool used to merge rasters 8 Focal mean expression (4x4 neighborhood) used to approximate and fill cells with no data at the boundary between mosaicked rasters 9 Raster calculator used to calculated Z-scores ([(Ln(Value))-Mean]/Std. Deviation) 10 Raster clipped by NOAA Medium Resolution Shoreline data using EXTRACT BY POLYGON tool QUALITY PROCESS Attribute Accuracy: The lines used to generate the density grid were derived from a mapping tool used by boaters to reconstruct their boating routes. To ensure that boaters included their round-trip route the mapping applications would send the user an error message asking them to re-plot the route or the program would automatically return the route to the starting point. This application also restricted the scale at which users could draw their routes, reducing the amount of error that could occur from plotting routes at too small a scale. Clipping this layer with a regional ocean shapefile derived from the NOAA medium resolution shoreline dataset excluded route density resulting from routes drawn over land, in freshwater, or outside of northeastern waters. Logical Consistency: None Completeness: Only reported routes from the random sample were included. Routes from the supplemental sample were excluded from this analysis. Route density occurring over land, freshwater areas, or outside northeastern waters was excluded by the final geoprocessing step. Positional Accuracy: The positional accuracy of the routes is dependent on the individual reporting routes through the

  15. d

    SwathPlus and RESON Bathymetric Tracklines collected in the Cape Ann -...

    • catalog.data.gov
    • data.usgs.gov
    • +5more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). SwathPlus and RESON Bathymetric Tracklines collected in the Cape Ann - Salisbury Beach Massachusetts Survey Area (BATHTRACKLINES, Geographic, WGS84) [Dataset]. https://catalog.data.gov/dataset/swathplus-and-reson-bathymetric-tracklines-collected-in-the-cape-ann-salisbury-beach-massa
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Salisbury, Cape Ann, Massachusetts
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Science Center. Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine reserves, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). This spatial dataset is from the Cape Ann and Salisbury Beach Massachusetts project area. They were collected in two separate surveys in 2004 and 2005 and cover approximately 325 square kilometers of the inner continental shelf. High resolution bathymetry and backscatter intensity were collected in 2004 and 2005.

  16. u

    Data from: Quabbin to Cardigan Supporting Landscapes

    • granit.unh.edu
    • nhgeodata.unh.edu
    • +1more
    Updated Jan 1, 2009
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    New Hampshire GRANIT GIS Clearinghouse (2009). Quabbin to Cardigan Supporting Landscapes [Dataset]. https://granit.unh.edu/maps/NHGRANIT::quabbin-to-cardigan-supporting-landscapes
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    Dataset updated
    Jan 1, 2009
    Dataset authored and provided by
    New Hampshire GRANIT GIS Clearinghouse
    Area covered
    Description

    The Quabbin to Cardigan Initiative (Q2C) is a collaborative, landscape-scale effort to conserve the Monadnock Highlands of western New Hampshire and north-central Massachusetts. Within the context of Q2CConservation Plan, Supporting Landscapes are relatively unfragmented forested blocks of land greater than 1000 acres in size which surroundand and in some cases connectQ2C Conservation Focus Areas (CFAs). Supporting Landscapes help buffer areas of generally higher ecological value in Q2C CFAs from human impacts. Supporting Landscape data can be used to prioritize land conservation efforts within the Q2C Project area. For more information see the Quabbin to Cardigan Conservation Plan Technical Report (2008) prepared by Dan Sundquist of the Society for the Protection of New Hampshire Forests.

  17. d

    Data from: Map showing inventory and regional susceptibility for Holocene...

    • dataone.org
    Updated Dec 1, 2016
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    Brabb, E.E.; Colgan, J.P.; Best, T.C. (2016). Map showing inventory and regional susceptibility for Holocene debris flows and related fast moving landslides in the conterminous United States: Raster data [Dataset]. https://dataone.org/datasets/5155b1e4-7324-4094-8e83-62746b62a5b0
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Brabb, E.E.; Colgan, J.P.; Best, T.C.
    Time period covered
    Jan 1, 1928 - Jan 1, 1999
    Area covered
    United States, Contiguous United States,
    Variables measured
    Debris-flow susceptibility grid cell value
    Description

    Debris flows, debris avalanches, mud flows and lahars are fast-moving landslides that occur in a wide variety of environments throughout the world. They are particularly dangerous to life and property because they move quickly, destroy objects in their paths, and can strike with little warning. The purpose of this map is to show where debris flows have occurred in the conterminous United States and where these slope movements might be expected in the future.

  18. c

    Text files of the navigation logged with HYPACK Software during surveys...

    • s.cnmilf.com
    • data.usgs.gov
    • +3more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Text files of the navigation logged with HYPACK Software during surveys 06012 and 07001 conducted by the U.S. Geological Survey offshore of Massachusetts between Duxbury and Hull (DH_HYPACK_NAV) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/text-files-of-the-navigation-logged-with-hypack-software-during-surveys-06012-and-07001-co
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts, Duxbury
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (https://woodshole.er.usgs.gov/project-pages/coastal_mass/). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

  19. a

    Northeast US Boundary Index

    • hub.arcgis.com
    Updated Jun 27, 2017
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    CT Environmental Conditions Online (CT ECO) (2017). Northeast US Boundary Index [Dataset]. https://hub.arcgis.com/items/99fe1f18b9c94329aeaa955e9cff9cb6
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    Dataset updated
    Jun 27, 2017
    Dataset authored and provided by
    CT Environmental Conditions Online (CT ECO)
    Area covered
    Description

    Data included in this map service is part of the CT Environmental Conditions Online (CTECO) website. CT ECO is the collaborative work of the Connecticut Department of Energy and Environmental Protection (DEEP) and the University of Connecticut Center for Land Use Education and Research (CLEAR) to share environmental and natural resource information with the general public. Northeast United States Boundary Index includes generalized boundaries for Connecticut, Massachusetts, Maine, New Hampshire, New Jersey, New York, Rhode Island, and Vermont. The information includes state, county and town boundaries. Boundary lines have been minimally generalized to reduce vertices. Features such as small and medium offshore islands were eliminated. It may contain some boundary line and county name errors for states other than Connecticut.Detailed information about these and other Connecticut data sets is available on the CT ECO website in the form of Northeast State Line Metadata, and Northeast State Polygon Metadata.

  20. v

    Locations and analysis of sediment samples collected in the Duxbury to Hull...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.usgs.gov
    • +5more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Locations and analysis of sediment samples collected in the Duxbury to Hull Massachusetts survey area (DH_SedimentSamples shapefile, Geographic, WGS84) [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/locations-and-analysis-of-sediment-samples-collected-in-the-duxbury-to-hull-massachusetts-
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts, Duxbury, Hull
    Description

    These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). This spatial dataset is from the study area located between Duxbury and Hull Massachusetts, and consists of high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples, video tracklines and bottom photographs). The data were collected during four separate surveys conducted between 2003 and 2007 (NOAA survey H10993 in 2003, USGS-WHSC survey 06012 in 2006, and USGS-WHSC surveys 07001 and 07003 in 2007) and cover more than 200 square kilometers of the inner continental shelf.

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OCM Partners (2013). 2012 FEMA Risk Map Lidar: Merrimack River Watershed (Massachusetts, New Hampshire) [Dataset]. https://www.fisheries.noaa.gov/inport/item/49848
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2012 FEMA Risk Map Lidar: Merrimack River Watershed (Massachusetts, New Hampshire)

nh2012_fema_merrimackwatershed_m2516_metadata

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las/laz - laserAvailable download formats
Dataset updated
Jul 19, 2013
Dataset provided by
OCM Partners
Time period covered
Nov 11, 2011 - Jan 11, 2012
Area covered
Description

These data are the lidar points collected for FEMA Risk Mapping, Assessment, and Planning (Risk MAP) for the Merrimack River Watershed. This area falls in portions of Hillsborough, Belknap, Merrimack, Rockingham and Strafford counties in New Hampshire and portions of Essex, Middlesex and Worcester counties in Massachusetts. Using a Leica ALS60 LiDAR system, a total of 268 flight lines of hig...

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