Filters: Tags: LiDAR (X) > Types: Map Service (X) > Types: OGC WFS Layer (X)

Filters Date Range Past year (63) Past month (2) Past week (1) Past day (0) Custom range... To   Search Extensions Shapefile (95) Raster (14) Project (9) Budget (8) ArcGIS Service Definition (2) Citation (2) Expando (2) Types OGC WMS Layer (588) OGC WMS Service (496) Downloadable (112) Shapefile (96) Citation (50) More... Contacts Kristina G Hopkins U.S. Geological Survey - ScienceBase U.S. Geological Survey South Atlantic Water Science Center Peter R Claggett More... Categories Data (152) Project (9) Data Release - Revised (4) Publication (2) Tag Types Theme (565) Place (565) theme (20) USGS Scientific Topic Keyword (38) Label (13) Harvest Set (69) LCC End User Type (20) More... Tag Schemes USGS Thesaurus (147) None (101) Geographic Names Information System (GNIS) (33) Common geographic areas (90) ISO 19115 Topic Category (105) https://earthdata.nasa.gov/gcmd-forum (20) none (7) More... View Results as: JSON ATOM CSV

XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, Hydroacoustic, All tags... LAS, Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, bathymetry, digital elevation models, elevation, inlandWaters, lidar, limnology, sonar, Fewer tags Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, DEM, Duluth, Great Lakes, LAS, All tags... Lake Superior, LiDAR, Southwestern Lake Superior, Superior, XYZ, digital elevation models, elevation, inlandWaters, lidar, Fewer tags Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2020 (ver 2.0, May 2021) The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data annually since 2012 at 10 study areas along Fountain Creek, Colorado. The 10 study areas are located along Fountain Creek between Colorado Springs and the confluence of Fountain Creek and the Arkansas River in Pueblo. This data release presents topographic survey data, Light Detection and Ranging (lidar) survey data, and elevation rasters collected or generated during 2020 as part of that monitoring effort. Topographic survey points were collected using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS). These point data, along with lidar point clouds, were used to generate 2020 digital... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Colorado, Colorado Springs, El Paso County, Fountain, Fountain Creek, All tags... Fountain Creek, Geomorphology, Lidar, Point Cloud, Pueblo, Pueblo County, UAS, USGS Science Data Catalog (SDC), channel change, flood, geomorphology, inLandWaters, sediment transport, topographic survey, Fewer tags Beach topography and nearshore bathymetry of northern Monterey Bay, California 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, CMGP, Coastal and Marine Geology Program, Echo Sounders, GPS (Global Positioning System), All tags... GPS measurement, Geophysics, Global Positioning System (GPS) observations, LIDAR, Monterey Bay, Monterey County, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Santa Cruz County, U.S. Geological Survey, USGS, Water Depth, bathymetry, bathymetry measurement, coastal sediment budget, digital elevation models, elevation, single-beam echo sounder, topographic mapping, topography, Fewer tags Terrestrial lidar data from northern Monterey Bay, California, March 2016 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, CMGP, Coastal and Marine Geology Program, GPS (Global Positioning System), LIDAR, All tags... Monterey Bay, Monterey County, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Santa Cruz County, U.S. Geological Survey, USGS, coastal sediment budget, elevation, topography, Fewer tags 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 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 Suspended sediment and bedload data, simple linear regression models, loads, elevation data, and FaSTMECH models for Rice Creek, Minnesota, 2010-2019 A series of simple linear regression models were developed for the U.S. Geological Survey (USGS) streamgage at Rice Creek below Highway 8 in Mounds View, Minnesota (USGS station number 05288580). The simple linear regression models were calibrated using streamflow data to estimate suspended-sediment (total, fines, and sands) and bedload. Data were collected during water years 2010, 2011, 2014, 2018, and 2019. The estimates from the simple linear regressions were used to calculate loads for water years 2010 through 2019. The calibrated simple linear regression models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for Rice Creek. Two multidimensional... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geomorphology, Hydrology, Minnesota, Rice Creek, Sedimentology, All tags... USGS Science Data Catalog (SDC), bedload, geomorphology, lidar, sediment transport, suspended material (water), 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 Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents and seiche effects associated with the mixing of river flows with Lake Michigan backwater. The TBDEM mosaic is built off existing terrestrial, nearshore, and estuary frameworks developed for other areas around the Great Lakes and the Milwaukee River Harbor. Ranging from 2008-2015, land elevations derived from lidar and historic topographic... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Coastal Zone Topobathymetric DEM, Geography, Geomorphology, Hydrology, Lake Michigan, All tags... Milwaukee, Seiche, USGS Science Data Catalog (SDC), Water Resources, bathymetry, digital elevation model, elevation, estuary, lidar, topography, 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 RUSLE2 Soil Erosion Model for the Rainwater Basin Region of Nebraska Sediment accumulation in playa wetlands, such as those in the Rainwater Basin in south-central Nebraska, reduces the hydrologic functionality and alters the vegetative composition of the wetlands reducing their ability to provide forage and resting habitat for migratory birds. Most Rainwater Basin wetlands have intense agricultural production occuring within their watersheds that accelerate sediment accumulation within the wetland. This sediment accumulation reduced the abilty of the wetland to hold water which, in turn, allows invasive and upland plants to proliferate with the wetland footprint. Planting upland grassland buffers around wetlands reduces the sediment load entering the wetland reducing the need... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Data, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > WETLANDS, EARTH SCIENCE > LAND SURFACE > EROSION/SEDIMENTATION > SEDIMENTATION, Federal resource managers, GPLCC, All tags... GPLCC, Great Plains, Great Plains Landscape Conservation Cooperative, Habitat Modeling, Habitat Modeling, LCC Network Science Catalog, LiDAR, LiDAR, Nebraska, Playas, Playas, Regional & county planners, Remote Sensing, Remote Sensing, Sediment Accumulation, Sediment Accumulation, State agencies, Wetlands, Wetlands, completed, data.gov Great Plains LCC, environment, inlandWaters, Fewer tags LiDAR Derived Watershed Boundaries for Rainwater Basin Wetlands ESRI file geodatabase containing LiDAR derived watershed boundaries for Rainwater Basin Wetalnds. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Data, Federal resource managers, GPLCC, GPLCC, Great Plains, All tags... Great Plains Landscape Conservation Cooperative, Habitat Modeling, Habitat Modeling, LCC Network Science Catalog, LiDAR, LiDAR, Nebraska, Playas, Playas, Regional & county planners, Remote Sensing, Remote Sensing, SEDIMENTATION, Sediment Accumulation, Sediment Accumulation, State agencies, WETLANDS, Wetlands, Wetlands, completed, data.gov Great Plains LCC, environment, geoscientificInformation, inlandWaters, Fewer tags Geomorphometry for Hydrologic Unit 0205020506 (FACET version 0.1.0) Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chesapeake Bay Watershed, Delaware River Basin, Floodplain, Geomorphology, Hydrography, All tags... Stream, geospatial, lidar, mapping, remote sensing, streambank, Fewer tags 1 2 3 4 5 ... 30 »