Skip to main content
Advanced Search

Filters: Types: Map Service (X) > Tags: {"scheme":"ISO 19115 Topic Category","name":"elevation"} (X)

417 results (23ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tags (with Scheme=ISO 19115 Topic Category)
View Results as: JSON ATOM CSV
thumbnail
This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
thumbnail
This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...
thumbnail
This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
thumbnail
This data release contains coastal wetland synthesis products for Massachusetts, developed in collaboration with the Massachusetts Office of Coastal Zone Management. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and tidal range are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands....
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Buzzards Bay, Cape Cod, Cape Cod Bay, Cape Cod National Seashore, Danvers River, All tags...
thumbnail
Concerns about the influence of climate change on biota have emerged over the past decade, and responses in species populations and distribution patterns have already been documented (Parmesan 1996, Thomas and Lennon 1999). Current climates and communities will not simply migrate, but rather will re-form in novel ways over time (Fox 2007; Hunter et al. 1988; Williams and Jackson 2007). Due to the uncertainty of future climatic patterns and species responses, enduring features of the landscape (geophysical settings) are appropriate targets of assessment, planning, and conservation (Anderson and Ferree 2010, Beier and Brost 2010, Brost and Beier 2012; Hunter et al. 1988). Only recently have enduring features been...
thumbnail
This digital elevation model provides a tool for calibrating tsunami risk to observations of the 1945 Makran tsunami in Karachi Harbour. The DEM bathymetry is derived from soundings made mainly during the first eight years after the tsunami. Although deficient in portraying intertidal backwaters and upland topography, the DEM accurately depicts the sheltered setting of one of the two tide gauges that recorded the 1945 tsunami.
thumbnail
This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon in 2014 (USGS Field Activity Number 2014-631-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9 degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during...
thumbnail
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
thumbnail
This portion of the USGS data release presents topography data collected during surveys performed on the Elwha River delta, Washington, in May 2011 (USGS Field Activity Number W-04-11-PS). Topography data were collected on foot with global navigation satellite system (GNSS) equipment mounted on backpacks operating in Real-Time Kinematic (RTK) mode. A total of 3 GNSS backpacks, each equipped with a dual-frequency GNSS receiver and handheld data collector, were used during the survey. Differential corrections were transmitted at 1-Hz intervals by a VHF radio to the backpack GNSS receivers from a GNSS base station placed on a benchmark with known horizontal and vertical coordinates relative to the North American Datum...
thumbnail
This portion of the USGS data release presents bathymetry data collected during surveys performed on the Elwha River delta, Washington in September 2010 (USGS Field Activity Number W-03-10-PS). Bathymetry data were collected using a small boat and a personal watercraft (PWC), each equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems on the survey vessels consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9° beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a...
thumbnail
This data release presents beach topography and nearshore bathymetry data from repeated surveys in northern Monterey Bay, California to document changes in shoreline position and coastal morphology as they relate to episodic (storms), seasonal, and interannual and longer (e.g. El Niño) processes. The ongoing monitoring program was initiated in October 2014 with semi-annual surveys performed in late summer (September or October) and Spring (March). Nearshore bathymetry and topography data were collected along a series of shore-perpendicular transects spaced primarily at 50-250 m intervals between Santa Cruz and Moss Landing, California (fig. 1). The transects were located along sandy stretches of the coastline...
thumbnail
This portion of the USGS data release presents topography data collected during surveys performed along northern Monterey Bay, California, in March 2017 (USGS Field Activity Number 2017-620-FA). Topographic profiles were collected on foot with GNSS receivers mounted on backpacks. Prior to data collection, vertical distances between the GNSS antennas and the ground were measured using a tape measure. Hand-held data collectors were used to log raw data and display navigational information allowing surveyors to navigate survey lines spaced at 50- to 250-m intervals along the beach. Profiles were surveyed from the landward edge of the study area (either the base of a bluff, engineering structure, or just landward of...
thumbnail
This portion of the USGS data release presents bathymetry data collected during surveys performed in northern Monterey Bay, California in September 2016 (USGS Field Activity Number 2016-674-FA). Bathymetry data were collected using a personal watercraft (PWC) and small boat equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9° beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey....
thumbnail
This portion of the USGS data release presents bathymetry data collected during surveys performed in northern Monterey Bay, California in March 2016 (USGS Field Activity Number 2016-627-FA). Bathymetry data were collected using two personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9° beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey. Positioning...
thumbnail
This part of the data release presents topography data from northern Monterey Bay, California collected in March 2016 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2016-627-FA). For each area surveyed, the scanner was placed at several positions which were selected to provide maximum line-of-sight coverage of the area of interest. Scans were typically conducted in panoramic mode, creating a detailed point cloud of all unobstructed surfaces in a 360 degree view of the scanner. At each scan position, co-registered photographic imagery was also collected with a scanner mounted DSLR camera. Scanner registration was performed by placing four or more cylindrical or flat reflective tripod-mounted...
map background search result map search result map Topography data from the Elwha River delta, Washington, May 2011 Nearshore bathymetry data from the Elwha River delta, Washington, September 2010 Beach topography and nearshore bathymetry of northern Monterey Bay, California Nearshore bathymetry data from northern Monterey Bay, California, March 2016 Terrestrial lidar data from northern Monterey Bay, California, March 2016 Nearshore bathymetry data from northern Monterey Bay, California, September 2016 Summary and Initial Evaluation of Enduring Features Information for the Conterminous USA, with Evaluation of Potential Use for Ecoregion Assessment Topography data from northern Monterey Bay, California, March 2017 Bathymetric and topographic grid intended for simulations of the 1945 Makran tsunami in Karachi Harbour Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2014 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2014 ElevMHW: Elevation adjusted to local mean high water: Rhode Island National Wildlife Refuge, RI, 2014 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Vegetation classification model (Veg) for basin A1 Digital terrain model (DTM) for basin B1 Final surface model (SRF) for basin B1 Elevation of marsh units in Massachusetts salt marshes Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Vegetation classification model (Veg) for basin A1 Topography data from the Elwha River delta, Washington, May 2011 Digital terrain model (DTM) for basin B1 Final surface model (SRF) for basin B1 Terrestrial lidar data from northern Monterey Bay, California, March 2016 Nearshore bathymetry data from the Elwha River delta, Washington, September 2010 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetric and topographic grid intended for simulations of the 1945 Makran tsunami in Karachi Harbour Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Nearshore bathymetry data from northern Monterey Bay, California, September 2016 Topography data from northern Monterey Bay, California, March 2017 Nearshore bathymetry data from northern Monterey Bay, California, March 2016 Beach topography and nearshore bathymetry of northern Monterey Bay, California Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Elevation of marsh units in Massachusetts salt marshes Summary and Initial Evaluation of Enduring Features Information for the Conterminous USA, with Evaluation of Potential Use for Ecoregion Assessment