Filters: Tags: Lidar (X) > Extensions: Shapefile (X)

Filters Date Range Past year (14) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Downloadable (95) Map Service (95) OGC WFS Layer (95) OGC WMS Layer (95) Shapefile (95) Citation (41) OGC WMS Service (3) Contacts Jenny L Hanson U.S. Geological Survey - ScienceBase Stephanie R Sattler Jenny L Hanson Jayme M Stone More... Categories Data (95) Tag Types Theme (94) Place (94) theme (3) USGS Scientific Topic Keyword (5) LCC End User Type (3) Harvest Set (8) ISO 19115 Topic Category (3) More... Tag Schemes None (71) USGS Thesaurus (85) Common geographic areas (62) Geographic Names Information System (GNIS) (4) ISO 19115 Topic Category (37) https://earthdata.nasa.gov/gcmd-forum (3) State (13) More... View Results as: JSON ATOM CSV

Beach Nourishment in the Gulf of Mexico Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Academics & scientific researchers, Alabama, Alabama, BEACHES, Baseline, All tags... Beach Erosion, Beach Nourishment, COASTAL LANDFORMS, Coastal Survey Map, Conservation NGOs, Data, EARTH SCIENCE, Endpoint Rate, Federal resource managers, GEOMORPHIC LANDFORMS/PROCESSES, Gulf of Mexico, Historic Shoreline, LAND SURFACE, LCC Network Science Catalog, LIDAR, Linear Regression Rate, Regional & county planners, Shoreline, Shoreline Change Rate, State agencies, T-sheet, Tp-sheet, United States, completed, environment, Fewer tags Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Nevada, Virgin River, active channel, biota, All tags... lidar, orthophotography, remote sensing, Fewer tags Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Contour, DEM, Illinois, Surface Model, US, All tags... digital elevation model, elevation, laser, lidar, topography, Fewer tags UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, LIDAR, Mississippi River, Navigation Pool 15, All tags... Upper Mississippi River, Upper Mississippi River System, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, LIDAR, Mississippi River, Navigation Pool 14, All tags... Upper Mississippi River, Upper Mississippi River System, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Missouri, Navigational Pool 24, canopy gap, canopy height model, All tags... forest, forestry, land cover/land use, lidar, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Iowa, Minnesota, Navigational Pool 8, Wisconsin, canopy gap, All tags... canopy height model, flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, Navigational Pool 13, Wisconsin, canopy gap, All tags... canopy height model, forest, forestry, land cover/land use, lidar, Fewer tags Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... Superior, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Minnesota Point near the Superior Entry of Lake Superior, Duluth, Minnesota. The LAS data sets were used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected September 15-17, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M.,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, Duluth, Great Lakes, Lake Superior, Southwestern Lake Superior, All tags... Superior, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags Footprint of bathymetry data collected for a Kalamazoo River Reference Reach upstream of Plainwell, Michigan, in 2021 This dataset is a polygon shapefile delineating the footprint of bathymetric data collected in October, 2021 for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). Bathymetric data in the river channel were collected with a single beam sonar and Acoustic Current Doppler Profiler operated along 2 longitudinal transects and 48 cross-sectional transects, respectively. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes, bathymetry, digital elevation models, elevation, f26077 = Kalamazoo, All tags... geomorphology, geospatial datasets, h04050003 = Kalamazoo, inlandWaters, lidar, q43086SWD1 = Kalamazoo NE, sonar methods, topography, Fewer tags UMRR Mississippi River Navigation Pool 03 Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: LIDAR, Minnesota, Mississippi River, Navigational Pool 3, Upper Mississippi River, All tags... Upper Mississippi River System, Wisconsin, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags UMRR Mississippi River Navigation Pool 11 Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Iowa, LIDAR, Mississippi River, Navigation Pool 11, Upper Mississippi River, All tags... Upper Mississippi River System, Wisconsin, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags UMRR Illinois River Alton Reach Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Alton, Alton Reach, Illinois, Illinois River, Illinois Waterway, All tags... LIDAR, Upper Mississippi River System, bathymetry, digital elevation models, elevation, image collections, river channel, river systems, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags UMRR Illinois River Starved Rock Reach Bathymetry Footprint 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... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Illinois River, Illinois Waterway, LIDAR, Starved Rock, All tags... Starved Rock Reach, Upper Mississippi River System, bathymetry, digital elevation models, elevation, image collections, terrain, topobathy, topographic maps, topography, water bed elevation, water depth, Fewer tags Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Iowa, Navigational Pool 13, Wisconsin, canopy gap, All tags... canopy height model, flood inundation, forest, forestry, land cover/land use, lidar, Fewer tags Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Illinois, Missouri, Navigational Pool 21, canopy gap, canopy height model, All tags... forest, forestry, land cover/land use, lidar, Fewer tags Western Lake Erie Restoration Assessment Dikes This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes, LIDAR, Lake Erie, biogeography, coastal ecosystems, All tags... coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags Great Salt Lake TBDEM Spatial Metadata This section of the data release includes the spatial metadata geospatial polygon feature dataset (.shp file) that contains spatial footprints for each input source dataset used to develop the topobathymetric dataset of Great Salt Lake. The attributes for each footprint polygon describe the characteristics of each input dataset used to generate the topobathymetric dataset. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 3D Elevation Program, 3DEP, Acoustic Sonar, Antelope Island, Bear River, All tags... Bear River Bay, Box Elder County, Carrington Bay, DEM, Davis County, Farmington Bay, Flood Inundation Modeling, Fremont Island, Gilbert Bay, Great Salt Lake, Great Salt Lake Desert, Inland Bathymetry, Jordan River, Light Detection and Ranging, Promontory Point, Reservoir Storage Capacity, Salt Lake City, Salt Lake County, TBDEM, Tooele County, U.S. Geological Survey, USGS, Utah, Utah Lake, Utah Water Science Center, Wasatch Range, Weber County, bathymetry, digital elevation models, elevation, elevation, geoscientificInformation, geospatial analysis, inlandWaters, lidar, saline lakes, society, topobathymetric digital elevation model, topobathymetry, topography, Fewer tags LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, Lidar, Sonar, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, Fewer tags 1 2 3 4 5 »