Provides bathymetric depth contours in feet and area of those contour intervals for New Hampshire lakes surveyed by the New Hampshire Department of Environmental Services since 2000 and New Hampshire Fish and Game. Last Updated 2/5/2024.

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 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 to 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 collected to ground-truth the acoustic geophysical data were collected in 2005.

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.; abstract: 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.

Bathymetric terrain models of seafloor morphology are an important component of marine geological investigations. Advances in acquisition and processing technologies of bathymetric data have facilitated the creation of high-resolution bathymetric surfaces that approach the resolution of similar surfaces available for onshore investigations. These bathymetric terrain models provide a detailed representation of the Earth's subaqueous surface and, when combined with other geophysical and geological datasets, allow for interpretation of modern and ancient geological processes.

This resource is a repository of the Unpiloted Aerial System (UAS) lidar-based maps of snow depth, local gradient of snow depth, and static variables (1-m spatial resolution) over open terrain and forests at the University of New Hampshire Thompson Farm Research Observatory, New Hampshire, United States (N 43.10892°, W 70.94853°, 35 m above sea level). Snow surface elevations were collected on January 23rd, 2019 and December 4th, 2019. The respective bare earth baseline elevations were collected following snowmelt on April 11th, 2019 and March 18th, 2020. The total area surveyed was approximately 0.11 sqkm, of which 0.7 sqkm was open field and 0.4 sqkm was mixed deciduous and coniferous forest. The static variables include plant functional type (0 = fields, 0.1 = deciduous needleleaf, and 0.2 = evergreen broadleaf) roughness (cm), slope (%), shadow hours (hours), aspect (degree), inter-pixel variability of lidar returns (STD; m), topographic compound index (TCI; unitless), and total local gradient of snow-off condition (LG; cm). Please see Cho et al. (2020) in Journal of Hydrology for full details.

Map Metadata (+proj=utm +zone=19 +datum=WGS84 +units=m +no_defs)

Preferred citation: Cho, E., Hunsaker, A. G., Jacobs, J. M., Palace, M., Sullivan, F. B., & Burakowski, E. A. (2021). Maximum Entropy Modeling to Identify Physical Drivers of Shallow Snowpack Heterogeneity using Unpiloted Aerial System (UAS) Lidar. Journal of Hydrology, 126722. https://doi.org/10.1016/j.jhydrol.2021.126722

Corresponding author: Eunsang Cho (escho@umd.edu)