2011 NED hillshade for New Hampshire

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the 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. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the New Hampshire digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Rockingham and Strafford Counties. The DEM was produced from the following lidar data sets: 1. 2013 - 2014 USGS Hurricane Sandy Supplemental for NE (RI, MA, NH) 2. 2011 USGS ARRA Lidar for the Northeast: Massachusetts The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Binary point-cloud data for part of the Suncook River in New Hampshire were produced from remotely sensed, geographically referenced elevation measurements by the U.S. Geological Survey, in cooperation with the New Hampshire Geological Survey. Elevation measurements were collected over the area on November 5 and 6, 2013 using the second-generation Experimental Advanced Airborne Research Lidar, a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high-frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters. A peak sampling rate of 15–30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

This data set represents a 0.76-meter resolution LiDAR-derived bare earth Digital Elevation Model (DEM) layer for New Hampshire. It was generated from a statewide Esri Mosaic Dataset which comprised 7 separate LiDAR collections that covered the state as of, July 2022. The Mosaic Dataset was converted to this img raster data set.

This polygon dataset is derived from Landsat reflectance and LiDAR elevation data. The polygon boundaries represent "image objects" that were derived using eCognition image segmentation software. The software groups image pixels into contiguous segments based on spectral reflectance. The attributes for each polygon are then calculated from the LiDAR crown height layer. Attributes include maximum, minimum, and mean elevation above the ground and standard deviation within each polygon. Elevation is in meters. This dataset incorporates Landsat imagery collected in 2018 and 2020. LiDAR data were collected in 2011 and 2012.

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 6235 individual 2500 ft x 2500 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. Geographic Extent: 8 counties in New Hampshire, covering approximately 1311 total square miles. Dataset Description: The NH Coastal Lidar Work Package 183374, Work Unit 183371 project call...

Bathymetry for Great Bay was derived from six surveys containing 30,640 soundings. One older, less accurate, overlapping survey was omitted before tinning the data. The average separation between soundings was 39 meters. There was a survey in the southeast that dated from 1950. The other five surveys dated from 1953 or 1954. The total range of soundings was 3.4 meters to -24.7 meters at mean low water. Mean high water values between 2.1 and 2.7 meters were assigned to the shoreline. Ten points were found that were not consistent with the surrounding data. These were removed prior to tinning. DEM grid values outside the shoreline (on land) were assigned null values (-32676). Great Bay has five 7.5 minute DEMs and a single one degree DEM. The 1 degree DEMs were generated from the higher resolution 7.5 minute DEMs which covered the estuary. A Digital Elevation Model (DEM) contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A- record), followed by a series of profile records (B- records) each of which include a short B-record header followed by a series of ASCII integer elevations (typically in units of 1 centimeter) per each profile. The last physical record of the DEM is an accuracy record (C-record). The 7.5-minute DEM (30- by 30-m data spacing) is cast on the Universal Transverse Mercator (UTM) projection. It provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle but the DEM contains over edge data. Coverage is available for many estuaries of the contiguous United States but is not complete.

Original Product: These are Digital Elevation Model (DEM) data for New Hampshire as part of the required deliverables for the NH Coastal Lidar Work Package 183374, Work Unit 183464 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 2.5 foot hydro-flattened Raster DEM.

Original Dataset Geographic Extent: 8 counties in New Hampshire, covering...

Original Data Collection: Lidar was captured over a two-day period (05/21-05/22/2024) using a Riegl VUX-1 UAV sensor at an Above Ground Level (AGL) altitude of 115 m, and with a minimum 50% sidelap. The lidar data were collected under leaf-on conditions. A 1-ft Digital Elevation Model (DEM) was created in Blue Marble GlobalMapper v23.1 using a minimum value binning (bin size = 6) grid method,...

This data set represents smoothed, 2-foot bare earth contours (isolines) for the Lower Androscoggin (01040002) HUC 8 unit. It was derived from a data set which was compiled from LIDAR collections in NH available as of spring, 2019. The raster was filtered using the ArcGIS FOCAL STATISTICS tool with a 3x3 circular neighborhood. The contours were generated using the ArcGIS CONTOUR tool while applying a Z factor of 3.2808 to convert the elevation values from meters to feet. The filtered contours were then smoothed using the ArcGIS SMOOTH LINE tool. The data include an INDEX field with values of 10 and 100 to flag 10 and 100-foot contours. When viewed using this service, contours become visible at scales greater than 1:10,000.

This map provides access to vector data layers that incorporate Landsat reflectance data and LiDAR elevation data within the state of New Hampshire. These data were developed by NH GRANIT using data collected between 2011 and 2018. The polygon boundaries represent "image objects" that were derived using eCognition image segmentation software, grouping image pixels into contiguous segments based on spectral reflectance and LiDAR. The attributes for each polygon were then calculated from the LiDAR crown height layer. Attributes include maximum, minimum, and mean elevation above the ground and standard deviation within each polygon. Elevation is in meters. The boundary of each layer is determined by the extent of a LiDAR data collection; Landsat reflectance data were clipped to the extent of the LiDAR. The dates of data collection are listed in the metadata for each data layer.These data were developed by NH GRANIT using funding from the New Hampshire Space Grant Consortium.

USGS 7.5' Topographic Quadrangles; Mount Kineo, NH - 1973, Woodstock, NH 1980. Contours at 40ft intervals were manually digitized. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N

This data set represents a 0.76-meter resolution LiDAR-derived bare earth hillshaded terrain (illumination from the northwest) layer for New Hampshire. It was generated from a statewide Esri Mosaic Dataset which comprised 8 separate LiDAR collections that covered the state as of January, 2020.

Diazo copy of Hubbard Brook Watershed Map generated stereophoto- grammetrically based on May, 1956 aerial photography. Shows New Hampshire state plane coordinate system reference points which were projected into UTM Zone 19 and used as reference tics. The contour lines were manually digitized from the map. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N

This map is to help people locate LiDAR-derived 2-ft contour data sets in New Hampshire. Both HUC 8 and HUC 10 units are displayed along with the HUC labels so that users can find which contour service covers their area of interest. For services residing on ArcGIS Online, contour services are available by HUC 10. HUC 8 services (including HUC 10 sub layers) are available in the EDP folder on nhgeodata.unh.edu/nhgeodata/rest/services.

These data were extracted from the High Resolution National Hydrography Dataset Plus (NHDPlus HR), an integrated set of geospatial data layers, including the National Hydrography Dataset (NHD), National Watershed Boundary Dataset (WBD), and 3D Elevation Program Digital Elevation Model (3DEP DEM). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to a data suite that includes the NHD stream network with linear referencing functionality, the WBD hydrologic units, elevation-derived catchment areas for each stream segment, "value added attributes" (VAAs), and other features that enhance hydrologic data analysis and routing.

The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the coastal zone vertically from -12 meters (m) to 10 m above mean high water (MHW). Results are produced at a horizontal resolution of 30 meters for four decades (the 2020s, 2030s, 2050s and 2080s). Adjusted elevations and their respective probabilities are generated using regional geospatial datasets of current sea-level forecasts, vertical land movement rates, and current elevation data. Coastal response type predictions incorporate adjusted elevation predictions with land cover data and expert knowledge to determine the likelihood that an area will be able to accommodate or adapt to water level increases and maintain its initial land class state or transition to a new non-submerged state (dynamic) or become submerged (static). Intended users of these data include scientific researchers, coastal planners, and natural resource management communities.

These GIS layers provide the probability of observing the forecast of adjusted land elevation (PAE) with respect to predicted sea-level rise or the Northeastern U.S. for the 2020s, 2030s, 2050s and 2080s. These data are based on the following inputs: sea-level rise, vertical land movement rates due to glacial isostatic adjustment and elevation data. The output displays the highest probability among the five adjusted elevation ranges (-12 to -1, -1 to 0, 0 to 1, 1 to 5, and 5 to 10 m) to be observed for the forecast year as defined by a probabilistic framework (a Bayesian network), and should be used concurrently with the adjusted land elevation layer (AE), also available from http://woodshole.er.usgs.gov/project-pages/coastal_response/, which provides users with the forecast elevation range occurring when compared with the four other elevation ranges. These data layers primarily show the distribution of adjusted elevation range probabilities over a large spatial scale and should therefore be used qualitatively.

Original Product: These lidar data are processed Quality Level 2 (QL2) Bare-Earth DEM files, formatted to individual 1500 m x 1500 m tiles at 1 meter resolution.

Original Dataset Geographic Extent: New York - One area covers 2284 sq miles New Hampshire - Two separate areas one that is 125 sq miles and the other 462 sq miles in area totaling 587 sq miles.

Original Dataset Description:...

The 7.5-minute digital elevation model (DEM) data are digital representations of cartographic information in a raster form. The DEMs consist of an array of elevations for ground positions at regularly spaced intervals. The data are produced in 7.5- by 7.5-minute blocks from either digitized cartographic map contour overlays of a scanned National Aerial Photography Program (NAPP) photographs. The DEM data are stored as profiles with a 10- or 30-meter square grid spacing along and between each profile. The original USGS DEM data (Mt. Kineo and Woodstock quadrangles) were merged and projected into UTM Zone 19. The resultant grid was clipped to a box surrounding the USDA Forest Service, Hubbard Brook Experimental Forest. Data distributed as GeoTIFF format in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.

This data package contains a 1 m LiDAR-derived digital elevation model (DEM) and a 1 m hydro-enforced DEM across Hubbard Brook EF. The LiDAR was collected during leaf-off and snow-free conditions by Photo Science, Inc. in April 2012 for the White Mountain National Forest (WMNF). These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.