Filters: Tags: Fairbanks (X)
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Core Research Center, core D901, from well operated by PHILLIPS PETROLEUMRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "D901", "API Num": "4901520136", "Operator": "PHILLIPS PETROLEUM", "Well Name": "1-35 HAWK FEE", "Field": "WILDCAT", "State": "WY", "County": "GOSHEN", "Type": "SLABBED", "Photos": "T", "Thin Sec": "F", "Analysis": "T", "Latitude": "41.74256", "Longitude": "-104.27861", "coordinates_geohash": "9xmv7p48h30t", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "DAKOTA J", "Age": "CRET", "Min Depth": "7364", "Max Depth": "7392"}, {"Formation":...
This data release includes field measurements of flow depth and optical image sequences acquired from the Salcha River in Alaska on July 25, 2019. These data were used to develop and test a spectrally based remote sensing technique for estimating water depth from passive optical image data. The purpose of this study was to assess the feasibility of inferring water depths from optical image sequences acquired from a helicopter hovering above the river by averaging the images over time and then establishing a correlation between a spectral band ratio and field measurements of depth, and to develop a modular workflow for performing this type of analysis. Remote sensing of river bathymetry (depth) could provide a...
This data release includes field measurements of flow velocity and optical image sequences used to derive remotely sensed estimates of surface flow velocities via particle image velocimetry (PIV) from two rivers in Alaska. These data were acquired from the Salcha River on August 31, 2018, and the Tanana River on July 24, 2019. The purpose of this study was to assess the feasibility of inferring flow velocities from optical image sequences acquired from a helicopter hovering above each river by tracking water surface features via various PIV algorithms and to develop a modular workflow for performing this type of analysis. Remote sensing of flow velocity could provide a more efficient, cost-effective alternative...
This map illustrates potential near-surface sources of geologic materials that may be useful for construction and other purposes. Field observations indicate that each geologic unit (for example, flood-plain alluvium) has a definite composition or range of composition. Therefore, the presence of material type is interpreted from the distribution of geologic units (Newberry and others, 1996 - PDF96-16). Assignment of Unified Soil Classes (Wagner, 1957) is based on visual observation and interpretation of the likely distribution of the materials; no grain-size analyses were performed. Descriptions of unconsolidated deposits are modified from Pewe and Bel (1975a-d) and Pewe and Bell (1976). This map is generalized...
The geochemical analyses in this report result from the reanalysis of 932 archived stream-sediment pulps from the northern Fairbanks D-1, northern Fairbanks D-2, Fairbanks D-3 and southern Livengood A-1 and A-2 Quadrangles. The original geochemical data set included 1013 stream-sediment samples, (Albanese, 1982a-c).
Field measurements of flow velocity were acquired from a reach of the Salcha River in Alaska, August 31, 2018, to support research on estimating surface flow velocities from remotely sensed data via particle image velocimetry (PIV). The velocity measurements included in this data release were obtained using a TRDI RiverRay acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. This data release provides depth-averaged flow velocities derived from the raw ADCP data using the TRDI WinRiver II processing software. The spatial location of each velocity measurement was obtained using a differential GPS included as part of the RiverRay instrument package. The map projection and datum...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Acoustic Doppler Current Profiler (ADCP),
Alaska,
Fairbanks,
Particle Image Velocimetry (PIV),
Remote sensing,
This data release consists of a set of high frame rate videos used to derive remotely sensed estimates of water depth by averaging the individual video frames and establishing correlations between spectral band ratios and field measurements of depth. These data were acquired from the Salcha River near Fairbanks, Alaska, on July 25, 2019, along with field measurements of flow depth used to calibrate image-derived depth estimates and assess their accuracy. The images were obtained using a Zenmuse X5 video camera deployed within a Meeker mount attached to the nose of a Robinson R44 helicopter. The original video was recorded at 30 frames per second while the helicopter hovered in a fixed location approximately...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alaska,
Bathymetry,
Depth,
Fairbanks,
Image,
This preliminary geologic map of the Fairbanks mining district was mapped at 1:63,360 scale. The report describes the geologic setting, structural geology, earthquake potential, economic geology and the description of bedrock units.
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