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Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
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Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for...
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All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
Categories: Data; Tags: Alewife, Bathythermograph, Benthos, Bloater, Cisco, All tags...
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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This data release provides 15-minute data of suspended-sediment concentration and fine (less than 0.0625 mm) suspended-sediment concentration during the removal of 2 large dams on the Elwha River from September 2011 to September 2016. Data are derived from regression relations with turbidity at the USGS gaging station Elwha River at the Diversion (no.12046260).
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Streamgage levels on the Elwha River were measured from 2011 to 2016. These measurements show the height of the river's water surface, both in meters relative to the stream bed, as well as in meters relative to vertical geographic coordinates. Measurements were collected using a Global Water WL16 battery-operated vented water level logger in a hardened casing. The instrument was installed on October 17, 2011 on the left bank of the Elwha River at a power line crossing above the Elwha Surface Water Intake (at approximately river kilometer 5.6), which is downstream of the (now historical) Elwha Dam site. Data collection ended May 12, 2016. The data were collected as part of a study investigating responses of the Elwha...
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This dataset presents 28 georeferenced orthomosaic images of the middle and lower reaches of the Elwha River. Each mosaic image was created by stitching together thousands of individual photographs that were matched based on numerous unique tie points shared by the photographs. The individual photographs were taken by a plane-mounted camera during multiple flights over the study area spanning 2012 to 2017. Because each mosaic is orthogonal to the earth's surface and is georeferenced to real-world coordinates, changes to the river channel and surrounding morphology can be seen and measured, including channel width, river braiding, bar formation, and other metrics to assess responses of the river to the removal of...
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Digital elevation models (DEMs) of the lower Elwha River, Washington, were created by synthesizing lidar and PlaneCam Structure-from-Motion (SfM) data. Lidar and still digital photographs were collected by airplane during surveys from 2012 to 2016. The digital photographs were used to create a SfM digital surface model. Each DEM represents the ending conditions for that water year (for example, the 2013 DEM represents conditions at approximately September 30, 2013). The final DEMs, presented here, were created from the most recent lidar before September 30 of a given year, supplemented with an error-corrected SfM model from a low-flow summer Elwha PlaneCam flight as close to 30 September as possible. This synthetic...
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These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...


map background search result map search result map Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1986 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1991 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 2002 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T5 from 2003 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T4, T5, T6, and T7 from 2012 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P8 and T1 from 2015 Digital elevation models (DEMs) of the lower Elwha River, Washington, water year 2013 to 2016 Orthomosaic images of the middle and lower Elwha River, Washington, 2012 to 2017 Streamgage measurements, Elwha River, Washington, 2011 to 2016 Suspended sediment concentration data in the Elwha River, Washington, September 2011 to September 2016 Brazos River U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1991 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1986 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T5 from 2003 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands T4, T5, T6, and T7 from 2012 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P8 and T1 from 2015 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 2005 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P7 from 2002 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Orthomosaic images of the middle and lower Elwha River, Washington, 2012 to 2017 Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022 Brazos River Great Lakes Research Vessel Operations 1958-2018: Gillnet. (ver. 3.0, April 2019) U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness