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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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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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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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La cuenca hidrográfica constituye la unidad territorial básica para la planeación y el manejo de los recursos naturales, su análisis requiere considerar interacciones sistémicas entre el medio biofísico, los modos de apropiación del territorio y las instituciones existentes. Para que el manejo integral de una cuenca se lleve a cabo, se requiere de la concurrencia y colaboración institucional, junto con el involucramiento de todos los actores que ocupan y utilizan sus recursos territoriales. Durante el desarrollo de un plan de manejo de una cuenca, la información disponible juega un papel trascendental. Por ello se puede afirmar que, el éxito y la contundencia del estudio y planeación de la cuenca, dependerán en...
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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 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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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Johnstown 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 in 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.
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This part of the data release presents topography data from northern Monterey Bay, California collected in October 2016 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2016-674-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...
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This portion of the USGS data release presents topography data collected during surveys performed along northern Monterey Bay, California, in September 2017 (USGS Field Activity Number 2017-678-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...
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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 July 2017 (USGS Field Activity Number 2017-638-FA). 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 6 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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This portion of the USGS data release presents topography data collected during surveys performed on the Elwha River delta, Washington, in March 2013 (USGS Field Activity Number W-01-13-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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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the State College 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 2016 and 2019 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.
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...
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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LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.


map background search result map search result map Illinois River, Peoria Pool, Spring Valley Quad, 0.5m Contours Espacio y Datos de Mexico Sistema de Consulta de las Cuencas Hidrográficas de México Topography data from the Elwha River delta, Washington, March 2013 Topography data from the Elwha River delta, Washington, August 2011 UMRR Illinois River La Grange Reach Bathymetry Footprint UMRR Mississippi River Navigation Pool 02 Bathymetry Footprint UMRR Mississippi River Navigation Pool 05a Bathymetry Footprint UMRR Mississippi River Navigation Pool 16 Bathymetry Footprint Topography data from northern Monterey Bay, California, March 2016 Terrestrial lidar data from northern Monterey Bay, California, October 2016 Topography data from northern Monterey Bay, California, September 2017 Terrestrial LIDAR Data Set of the February 14, 2019 Sausalito Boulevard Landslide, Sausalito, California Topography data from the Elwha River delta, Washington, July 2017 Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana 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 Johnstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the State College 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 Topography data from the Elwha River delta, Washington, August 2011 Topography data from the Elwha River delta, Washington, March 2013 Terrestrial lidar data from northern Monterey Bay, California, October 2016 Topography data from the Elwha River delta, Washington, July 2017 Topography data from the Elwha River delta, Washington, July 2018 Illinois River, Peoria Pool, Spring Valley Quad, 0.5m Contours Topography data from northern Monterey Bay, California, March 2016 Topography data from northern Monterey Bay, California, September 2017 UMRR Mississippi River Navigation Pool 16 Bathymetry Footprint UMRR Mississippi River Navigation Pool 02 Bathymetry Footprint Lake Koocanusa Digital Elevation Model (DEM), Lincoln County, Montana Enhanced Terrain Imagery of the State College 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Johnstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution UMRR Illinois River La Grange Reach Bathymetry Footprint New Jersey StreamStats digital elevation, flow direction, and flow accumulation GIS data 2022 Espacio y Datos de Mexico Sistema de Consulta de las Cuencas Hidrográficas de México