Description: This data set contains NWI digital data records of wetlands location and classification as defined by the U.S. Fish & Wildlife Service. For additional information, see the Metadata Lite record
Description: The NH Shoreline Inventory Project is an effort to create, for the first time, an important baseline dataset to inform coastal shoreline management decisions. Interest in NH integrated shoreline management has increased over the past few years among multiple stakeholder groups as the region is experiencing continuing population growth and development, water quality stresses, sea-level rise, and intensifying coastal storms. Following the December 2014 NH Shoreline Management Conference, several data needs were identified to help advance integrated shoreline management and policy that promotes important assets like human health and safety, natural resources, economic development, cultural and historic resources, and recreation opportunities, among others. One important data need is a comprehensive, spatial inventory of engineered structures along the New Hampshire shoreline that could be combined and compared with existing high quality data about natural habitats like salt marshes, sandy beaches, and natural rocky shores. This integrated dataset would be used to gain a better quantitative understanding of the state of the NH coastal shoreline, including the proportion of the shoreline that is subject to manmade hardened structures. New Hampshire Shoreline Inventory Project provides baseline information about existing engineered shoreline structures, including total spatial extent and coarse level information about type of structure. It also integrates information about key coastal habitats, including salt marshes, sandy beaches, and rocky shores. The engineered structures were digitized at a scale of 1:1500 using the 2013 Coastal High Resolution True Color aerial photograph collected by the Piscataqua Region Estuaries Project on August 24, 2013 (1-foot resolution) and the 2010-2011 Regional Very High Resolution Aerial Photography (6-inch resolution) available on NH GRANIT. The inventory includes enough detail to serve as the baseline/screening dataset for a more site specific inventory, a shoreline vulnerability assessment, and to identify candidate sites for "soft/living shoreline" approaches. It serves as an information source for decision-makers as they consider development of a Comprehensive NH Shoreline Management Plan and involves key experts in the Coastal Zone in order to ensure that the product is useful and usable.
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast position was delineated for beaches along the Atlantic coast of New Hampshire. The shoreline position was determined from historic charts, aerial photographs and lidar and trends in these positions represent any erosion or deposition of sand, gravel or cobble. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), National Oceanic and Atmospheric Administation (NOAA), United States Geological Survey (USGS), National Aeronautics and Space Administration (NASA)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: The seacoast lidar (Light Detection and Ranging) elevation change is a difference in elevation for beaches along the Atlantic coast of New Hampshire. The elevation change represents any erosion or deposition of sand, gravel or cobble in the time between the two lidar surveys it was based on. The project was done under the BOEM (Bureau of Ocean and Energy Management) cooperative agreement M14ACOOO10 in an effort to quantify the areas of the New Hampshire coast that are most prone to erosion and therefore most likely to need beach nourishment projects.
Copyright Text: New Hampshire Geological Survey (NHGS), United States Army Corps of Engineers (USACE), United States Geological Survey (USGS)
Description: Simulated groundwater rise with 1 foot of sea-level rise. Simulations were created using USGS MODFLOW-2005 with the Groundwater Vistas graphical user interface. This map consists of rectangular polygons created from a raster grid of groundwater rise with sea-level rise relative to mean sea level (MSL) measured at the Fort Point tide gage in 2016.
The groundwater modeling study upon which this resource is based is described in:
Knott, J. F., Daniel, J.S., Jacobs, J., Kirshen, P., 2018. Modeling Groundwater Rise Caused by Sea-Level Rise in Coastal New Hampshire. Journal of Coastal Research. http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-17-00153.1
Copyright Text: Jayne F. Knott, Ph.D. candidate; Jennifer M. Jacobs, Ph.D.; University of New Hampshire, Department of Civil & Environmental Engineering. This resource was developed as part of the 2018 CZM Project of Special Merit “Using Science, Building Social Capital, and Unpacking Tax Incentives for a Resilient Coastal New Hampshire”, managed by the NHDES Coastal Program. NOAA-NOS-OCM-2018-2005389
Description: Simulated groundwater rise with 2 feet of sea-level rise. Simulations were created using USGS MODFLOW-2005 with the Groundwater Vistas graphical user interface. This map consists of rectangular polygons created from a raster grid of groundwater rise with sea-level rise relative to mean sea level (MSL) measured at the Fort Point tide gage in 2016.
The groundwater modeling study upon which this resource is based is described in:
Knott, J. F., Daniel, J.S., Jacobs, J., Kirshen, P., 2018. Modeling Groundwater Rise Caused by Sea-Level Rise in Coastal New Hampshire. Journal of Coastal Research. http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-17-00153.1
Copyright Text: : Jayne F. Knott, Ph.D. Candidate; Jennifer M. Jacobs, Ph.D.; University of New Hampshire, Department of Civil & Environmental Engineering. This resource was developed as part of the 2018 CZM Project of Special Merit “Using Science, Building Social Capital, and Unpacking Tax Incentives for a Resilient Coastal New Hampshire”, managed by the NHDES Coastal Program. NOAA-NOS-OCM-2018-2005389
Description: Simulated groundwater rise with 4.0 feet of sea-level rise. Simulations were created using USGS MODFLOW-2005 with the Groundwater Vistas graphical user interface. This map consists of rectangular polygons created from a raster grid of groundwater rise with sea-level rise relative to mean sea level (MSL) measured at the Fort Point tide gage in 2016.
The groundwater modeling study upon which this resource is based is described in:
Knott, J. F., Daniel, J.S., Jacobs, J., Kirshen, P., 2018. Modeling Groundwater Rise Caused by Sea-Level Rise in Coastal New Hampshire. Journal of Coastal Research. http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-17-00153.1
Copyright Text: Jayne F. Knott, Ph.D. Candidate; Jennifer M. Jacobs, Ph.D.; University of New Hampshire, Department of Civil & Environmental Engineering. This resource was developed as part of the 2018 CZM Project of Special Merit “Using Science, Building Social Capital, and Unpacking Tax Incentives for a Resilient Coastal New Hampshire”, managed by the NHDES Coastal Program. NOAA-NOS-OCM-2018-2005389
Description: Simulated groundwater rise with 6.0 feet of sea-level rise. Simulations were created using USGS MODFLOW-2005 with the Groundwater Vistas graphical user interface. This map consists of rectangular polygons created from a raster grid of groundwater rise with sea-level rise relative to mean sea level (MSL) measured at the Fort Point tide gage in 2016.
The groundwater modeling study upon which this resource is based is described in:
Knott, J. F., Daniel, J.S., Jacobs, J., Kirshen, P., 2018. Modeling Groundwater Rise Caused by Sea-Level Rise in Coastal New Hampshire. Journal of Coastal Research. http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-17-00153.1
Copyright Text: Jayne F. Knott, Ph.D. Candidate; Jennifer M. Jacobs, Ph.D.; University of New Hampshire, Department of Civil & Environmental Engineering. This resource was developed as part of the 2018 CZM Project of Special Merit “Using Science, Building Social Capital, and Unpacking Tax Incentives for a Resilient Coastal New Hampshire”, managed by the NHDES Coastal Program. NOAA-NOS-OCM-2018-2005389
Description: Description: Simulated groundwater rise with 8.0 feet of sea-level rise. Simulations were created using USGS MODFLOW-2005 with the Groundwater Vistas graphical user interface. This map consists of rectangular polygons created from a raster grid of groundwater rise with sea-level rise relative to mean sea level (MSL) measured at the Fort Point tide gage in 2016.
The groundwater modeling study upon which this resource is based is described in:
Knott, J. F., Daniel, J.S., Jacobs, J., Kirshen, P., 2018. Modeling Groundwater Rise Caused by Sea-Level Rise in Coastal New Hampshire. Journal of Coastal Research. http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-17-00153.1
Copyright Text: Jayne F. Knott, Ph.D. Candidate; Jennifer M. Jacobs, Ph.D.; University of New Hampshire, Department of Civil & Environmental Engineering. This resource was developed as part of the 2018 CZM Project of Special Merit “Using Science, Building Social Capital, and Unpacking Tax Incentives for a Resilient Coastal New Hampshire”, managed by the NHDES Coastal Program. NOAA-NOS-OCM-2018-2005389
Description: Tidal wetland systems are important transitional habitats between the ocean and land. Salt marshes in particular provide essential functions and values from a human perspective. They support healthy fisheries, protect shorelines from erosion, reduce flooding, protect water quality, and provide essential fish and wildlife habitat. This data set is intended to establish a baseline to document statewide tidal wetland change over time. It focuses on salt marsh system response to relative sea level rise, documenting both changing quality and quantity of this habitat. Data was derived from high resolution multispectral orthoimagery collected on August 24, 2013 through the Piscataqua Region Estuaries Partnership and LiDAR data collected through the LiDAR for the NorthEast project (2011). Draft maps were created in 2015 and accuracy assessments continued until 2018. These data are currently not available to download from the GRANIT website.
Copyright Text: NOAA's Office for Coastal Management, Great Bay National Estuarine Research Reserve, and NH Coastal Program
Description: Tidal wetland systems are important transitional habitats between the ocean and land. Salt marshes in particular provide essential functions and values from a human perspective. They support healthy fisheries, protect shorelines from erosion, reduce flooding, protect water quality, and provide essential fish and wildlife habitat. This data set is intended to establish a baseline to document statewide tidal wetland change over time. It focuses on salt marsh system response to relative sea level rise, documenting both changing quality and quantity of this habitat. Data was derived from high resolution multispectral orthoimagery collected on August 24, 2013 through the Piscataqua Region Estuaries Partnership and LiDAR data collected through the LiDAR for the NorthEast project (2011). Draft maps were created in 2015 and accuracy assessments continued until 2018.
Copyright Text: NOAA's Office for Coastal Management, Great Bay National Estuarine Research Reserve, and NH Coastal Program.