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This data release contains time-lapse imagery taken at U.S. Geological Survey (USGS) stream gaging stations with associated hydrologic and meteorological data related to each image. These data are to help improve the development of models in detecting water elevation at a given stream gaging station. Images of the water surface and surroundings at USGS stream gaging stations were taken at varying time intervals ranging between every five minutes to an hour. Cameras used include trail cameras, web cameras, and the custom river imagery sensing (RISE) camera. Time-lapse images for each USGS stream gaging station are provided in compressed files (file extension .7z). These files are named in a format to identify the...
This U.S. Geological Survey (USGS) Data Release provides time-lapse color photography collected from three sites at Milford Lake, Kansas, during June through November 2017 and June through November 2018. Photographic images are displayed using a .mp4 common multimedia format. Time-lapse cameras were used to visually capture cyanobacterial accumulations and movement throughout Milford Lake, Kansas, at five-minute intervals (South Causeway Camera and Fort Riley Marina Camera) and at fifteen-minute intervals (Wakefield Camera). This dataset includes time-lapse photography collected at three short-term, fixed-site locations as part of a study to evaluate the temporal and spatial variability of nutrients and algal constituents...
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This U.S. Geological Survey (USGS) Data Release provides time-lapse photography collected from six sites at Milford Lake, Kansas, during June through November 2016. All photographic images are displayed using a .mov common multimedia format. Time-lapse cameras were used to visually capture cyanobacterial accumulations and movement throughout Milford Lake, Kansas, at one-hour intervals from June 29 through July 20 then at five-minute intervals from July 21 through November 28. This dataset includes all time-lapse photography collected at six short-term, fixed-site locations as part of a study to evaluate the spatial variability of cyanobacterial harmful algal blooms in Milford Lake, Kansas.
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Open pit uranium mining in Atascosa, Karnes, and Live Oak Counties in the Texas gulf coast region was active during the second half of the 20th century. Understanding the history of these mining operations is important for proper management and restoration. Although some mines have extensive records documenting the locations and extents of mining pits and mine waste-rock piles, and provide descriptions of reclamation activities, abandoned mines with little to no such documentation are present on the landscape. A multiple lines of evidence approach using lidar derivatives and multispectral remote sensing temporal analysis (Stengel, 2022) was developed to (1) identify uranium mine waste-rock, wastewater, and land...
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Crested (Aethia cristatella) and Least Auklets (Aethia pusilla) are crevice-nesting birds that breed in large mixed colonies at relatively few sites in the Aleutian Chain, Bering Sea, Gulf of Alaska and Sea of Okhotsk. Time-lapse imagery of nesting habitat was collected over the summers of 2010, 2012, and 2013 to assess use of the primary pre-eruption colony site. At-sea surveys collected relative abundance data to identify shifts in distributions of Crested and Least Auklets around Kasatochi and Koniuji Islands.


    map background search result map search result map Time-lapse photography of Milford Lake, Kansas, June through November 2016 Time-lapse color photography of Milford Lake, Kansas, June through November 2017 and June through November 2018 Data associated with using lidar and earth observation temporal analysis to explore and characterize uranium mining on the south Texas landscape Imagery training dataset for the River Imagery Sensing (RISE) application Time-lapse photography of Milford Lake, Kansas, June through November 2016 Time-lapse color photography of Milford Lake, Kansas, June through November 2017 and June through November 2018 Imagery training dataset for the River Imagery Sensing (RISE) application