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Using high-resolution sonar technologies with geographic information systems (GIS) and object based image analysis, benthic habitats of the Illinois River will be interpreted to support Asian carp research, monitoring and control. The entire study plan will consist of data collection and analysis of the Brandon, Dresden, Starved Rock, Marseilles, Peoria, La Grange and Alton reaches of the Illinois River. Reaches with larger aquatic areas (Peoria, La Grange and Alton), will have priority areas and backwaters collected and analyzed first.
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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In 2016, the U.S. Army Corps of Engineers (USACE) started collecting high-resolution multibeam echosounder (MBES) data on Lake Koocanusa. The survey originated near the International Boundary (River Mile (RM) 271.0) and extended down the reservoir, hereinafter referred to as downstream, about 1.4 miles downstream of the Montana 37 Highway Bridge near Boulder Creek (about RM 253). USACE continued the survey in 2017, completing a reach that extended from about RM 253 downstream to near Tweed Creek (RM 244.5). In 2018, the U.S. Geological Survey (USGS) Idaho Water Science Center completed the remaining portion of the reservoir from RM 244.5 downstream to Libby Dam (RM 219.9). The MBES data collected in 2016 and 2017...
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This portion of the USGS data release presents topography data collected during surveys performed along northern Monterey Bay, California, in March 2016 (USGS Field Activity Number 2016-627-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...
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This portion of the USGS data release presents topography data collected during surveys performed on the Elwha River delta, Washington, in August 2011 (USGS Field Activity Number W-06-11-PS). Topography data were collected on foot with global navigation satellite system (GNSS) equipment mounted on backpacks operating primarily in Real-Time Kinematic (RTK) mode. A total of 4 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...
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In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
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This part of the data release presents topography data from the Elwha River delta collected in July 2018. Topography data were collected on foot with global navigation satellite system (GNSS) receivers mounted on backpacks.
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The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), prepared hydro-conditioned geographic information systems (GIS) data layers for use in the updated New Jersey StreamStats 2022 application (U.S. Geological Survey, 2022). This update features improvements in base-elevation resolution from 10 meters to 10 feet and stream centerline hydrography from 1:24,000 to 1:2,400 scale. Hydro conditioning is the process of burning single-line stream centerlines at the 1:2,400 scale into a digital elevation model to produce flow direction and flow accumulation grids. This data release contains raster digital datasets for a 10-foot digital elevation model, a flow...
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Visualización cartográfica de los indicadores hasta nivel municipal en combinación con información geográfica hasta nivel de calle o localidad rural.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Staunton 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2015 and 2021. 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.
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The 2018 eruption of Kīlauea Volcano on the Island of Hawaiʻi saw the collapse of a new, nested caldera at the volcano’s summit, and the inundation of 35.5 square kilometers (13.7 square miles) of the lower Puna District with lava. Between May and August, while the summit caldera collapsed, a lava channel extended 11 kilometers (7 miles) from fissure 8 in Leilani Estates to Kapoho Bay, where it formed an approximately 3.5-square-kilometer (1.4-square-mile) lava delta along the coastline. Rapidly-deployed remote sensing techniques were vital in monitoring these events. Following the eruption, the U.S. Geological Survey (USGS) contracted the acquisition of rigorous airborne lidar surveys of Kīlauea Volcano's summit,...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pittsburgh East 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 2020 and 2021 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.
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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...
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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...
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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...
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On February 14, 2019, just before 2:56 am local time (Pacific Standard Time), a landslide initiated from the natural hillslopes above the City of Sausalito, California. The landslide, properly identified as a debris flow, overran a road (Sausalito Boulevard) located immediately below the landslide source area, and impacted and destroyed several residential structures. One person was located in one of the residences and survived the disaster after being transported in their home down the slope. The U.S. Geological Survey responded to this event within hours of the landslide and provided situational awareness of possible secondary landslide hazards associated with the event. The USGS also rapidly mobilized its topographic...
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This imagery dataset consists of 3 meter resolution, Lidar-derived imagery of the Winchester 30 x 60 minute quadrangle in northern Virginia, West Virginia, and western Maryland. The source data used to construct this imagery consists of 1 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2011 and 2019. The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 17 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 and 2019 from New York state. The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index...


map background search result map search result map Compound Topographic Index in the Wyoming Basins Ecoregional Assessment area Espacio y Datos de Mexico Topography data from the Elwha River delta, Washington, August 2011 UMRR Mississippi River Navigation Pool 07 Bathymetry Footprint UMRR Mississippi River Navigation Pool 16 Bathymetry Footprint Topography data from northern Monterey Bay, California, March 2016 Terrestrial LIDAR Data Set of the February 14, 2019 Sausalito Boulevard Landslide, Sausalito, California ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2010 Illinois River, Hanson Pit - East, Multibeam Bathymetry, June 2018 ElevMHW: Elevation adjusted to local mean high water: Monomoy Island, MA, 2014 ElevMHW: Elevation adjusted to local mean high water: Ship Shoal Island, VA, 2014 Digital elevation model of Kīlauea Volcano, Hawaiʻi, based on July 2019 airborne lidar surveys Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Mores Creek Arm Bathymetric Survey, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 New Jersey StreamStats digital elevation, flow direction, and flow accumulation GIS data 2022 Topography data from the Elwha River delta, Washington, July 2018 Enhanced Terrain Imagery of the Pittsburgh East 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Staunton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Terrestrial LIDAR Data Set of the February 14, 2019 Sausalito Boulevard Landslide, Sausalito, California Mores Creek Arm Bathymetric Survey, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Illinois River, Hanson Pit - East, Multibeam Bathymetry, June 2018 Topography data from the Elwha River delta, Washington, August 2011 ElevMHW: Elevation adjusted to local mean high water: Ship Shoal Island, VA, 2014 Topography data from the Elwha River delta, Washington, July 2018 ElevMHW: Elevation adjusted to local mean high water: Monomoy Island, MA, 2014 Topography data from northern Monterey Bay, California, March 2016 ElevMHW: Elevation adjusted to local mean high water: Fire Island, NY, 2010 Digital elevation model of Kīlauea Volcano, Hawaiʻi, based on July 2019 airborne lidar surveys Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana Enhanced Terrain Imagery of the Pittsburgh East 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Staunton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution New Jersey StreamStats digital elevation, flow direction, and flow accumulation GIS data 2022 Compound Topographic Index in the Wyoming Basins Ecoregional Assessment area Espacio y Datos de Mexico