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This metadata record describes the materials contained in stake folder 696. Stake 696 is located at latitude 36.39889, longitude -112.63056. This location was photographed in the following years: 1872, 1968 and 1972. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat...
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This metadata record describes the materials contained in stake folder 713. Stake 713 is located at latitude 36.42478, longitude -112.63036. This location was photographed in the following years: 1872 and 1968. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat date...
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This metadata record describes the materials contained in stake folder 2595. Stake 2595 is located at latitude 36.392, longitude -112.629. This location was photographed in the following years: 1942 and 1993. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials from one repeat date (e.g.,...
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This metadata record describes the materials contained in stake folder 1506. Stake 1506 is located at latitude 36.38585, longitude -112.63963. This location was photographed in the following years: 1909 (no physical image) and 1990. The materials associated with this item include original best quality images from each repeat date (preserved as digitized film images or in some cases digitized print photographs, depending on availability), scanned film envelopes with camera metadata, records of repeat photography sheets, and all field notes and/or camera notes associated with this stake. All attachments follow the following naming convention: stake_date_material_type_Kanab. Some stakes will have multiple materials...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (light detection and ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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This dataset consists of point cloud data collected in 2016 and 2017 of the lower and upper Scenic Drive landslide locations in La Honda, California. Point cloud data were collected in 2016 to establish baseline for movement detection of past landslides. Point cloud data were collected in 2017 adjacent and upslope of 2016 data to document a newly formed landslide. The data were collected with a Riegl VZ400 Terrestrial Laser Scanner and georeferenced using a Leica Viva GS15 survey grade GPS. The data are delivered as georeferenced (NAD83 UTM zone 10N ellipsoid) classified point clouds, 5 cm resolution digital elevation models, and a text file of surveyed GPS control points. The included files are: LH2017_Jan.laz...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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The files consist of two types: tabulated data files and graphical map files. Data files consist of six .csv files, representing six experiment dates (2016_06_14, 2016_16_15, 2016_18_15, 2016_16_21, 2016_16_22, 2016_16_23). Each of these files contains multiple columns of data, with each column representing either a time measurement or the value of a physical quantity measured at that time (e.g., flow depth, pore pressure, normal stress, etc.). Map files consist of six .pdf files, each representing an experiment date listed above. The maps show the thickness of the sediment deposited onto the runout pad after each experiment. Sediment thickness was determined using photogrammetery software from Adam Technology.
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (light detection and ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (light detection and ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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The State of Alaska Division of Geological & Geophysical Surveys acquired photogrammetric digital surface models (DSMs) and co-registered orthorectified aerial images (orthoimages) for the west coast of Alaska in support of coastal vulnerability mapping efforts. This report is a summary of the data collected over 26 developed areas along approximately 3,500 km of coastline in the Bering Sea, Norton Sound, and Yukon-Kuskokwim Delta regions (fig. 1). Aerial photographs were collected between July 31 and September 6, 2015, and processed using Structure from- Motion (SfM) photogrammetry techniques. Ground control points (GCPs) and checkpoints were collected in support of these data products during a Global Navigation...
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These data are bathymetry (river bottom elevation) in XYZ format, generated from the March 29-30, 2017 and April 13, 2017, bathymetric survey of the East Fork White River at Columbus, Indiana. The bathymetry was collected from approximately the confluence of Driftwood and Flatrock rivers, downstream to the confluence of Haw Creek. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 55 cross sections which were spaced 200 feet apart along the river. Additional cross sections were collected upstream and...
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Data are time series of substrate grain size, remotely sensed water column turbidity, and measures of abundance (e.g., density, percent cover) of the nearshore subtidal (3-17 m depth) benthic community (vegetation, invertebrates, and fish) collected before (2008-2011) and during dam removal (2012-2014).
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Seventeen streamflow-gaging stations, operated by the U.S. Geological Survey and distributed across the Ouachita Mountains of Arkansas and Oklahoma were selected for analysis. Bed material sampling was conducted to obtain information on the particle-size distributions of the streambed materials and to determine the shapes of the individual particles comprising the streambeds. Information on stream-bed particle-size distribution was used to compute the potential rate of bed-load transport and is a parameter used in the Rosgen (Rosgen, 1996) stream reach classification system. Streambed-material particle sizes were measured using two methods. The first method was Wolman pebble counts conducted across the riffles...
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In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired lidar (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. Lidar data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications...
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Water surface elevations within seven Willamette River off-channel features (OCF; alcoves and side channels) were measured using submerged pressure transducers. Transducers were installed from late May through mid-October, 2016, when discharge of the Willamette River was between approximately 5,500 and 45,000 cubic feet per second at Salem, Oregon (USGS gage 14191000) and 3,500 to 17,500 cubic feet per second at Harrisburg, Oregon (USGS gage 14166000). Pressure transducer sensor depth was measured at all seven sites. For five of the sites, pressure transducer sensor depths were converted to water surface elevations by surveying the water surface at each transducer with a real-time kinematic global positioning system...
Valley-fill alluvium deposited from ca. A.D. 1400 to 1880 is widespread in tributaries of the Paria River and is largely coincident with the Little Ice Age epoch of global climate variability. Previous work showed that alluvium of this age is a mappable stratigraphic unit in many of the larger alluvial valleys of the southern Colorado Plateau. The alluvium is bounded by two disconformities resulting from prehistoric and historic arroyo cutting at ca. A.D. 1200–1400 and 1860–1910, respectively. The fill forms a terrace in the axial valleys of major through-flowing streams. This terrace and underlying deposits are continuous and interfinger with sediment in numerous small tributary valleys that head at the base of...


map background search result map search result map Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon 3) Streambed particle data Water surface elevations recorded by submerged water level loggers in off-channel features of the middle and upper Willamette River, Oregon, Summer, 2016 Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 1506 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 2595 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0696 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0713 Data collected in 2008-2014 to assess nearshore subtidal community responses to increased sediment load during removal of the Elwha River dams, Washington State, USA Terrestrial lidar data from the 2017 Upper Scenic Drive Landslide, La Honda, California: classified point cloud and gridded elevation data from 2016-2017 High-resolution lidar data for infrastructure corridors, Fairbanks Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Fairbanks Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Bettles Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Talkeetna Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Healy Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Gulkana Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Chandalar Quadrangle, Alaska Photogrammetric digital surface models and orthoimagery for 26 coastal communities of western Alaska LiDAR and paleoseismology solve 140-yr old earthquake mystery in the Pacific Northwest USA - source tabular data and images for 1872 Chelan earthquake fault scarp study Sensor data from debris-flow experiments conducted in June, 2016, at the USGS debris-flow flume, HJ Andrews Experimental Forest, Blue River, Oregon USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 1506 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 2595 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0696 USGS Southwest Repeat Photography Collection: Kanab Creek, southern Utah and northern Arizona, 1872-2010: Stake 0713 Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017 3) Streambed particle data High-resolution lidar data for infrastructure corridors, Fairbanks Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Fairbanks Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Bettles Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Talkeetna Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Healy Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Gulkana Quadrangle, Alaska High-resolution lidar data for infrastructure corridors, Chandalar Quadrangle, Alaska Photogrammetric digital surface models and orthoimagery for 26 coastal communities of western Alaska