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The hydrologic response units (HRUs) available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the HRUs is provided as a shapefile with attributes ParentHRU, Region, and RegionHRU identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (2017) report. Hydrologic response units (HRUs) were delineating using the processing steps outlined in Viger and Leavesley (2007) and a 5-meter digital elevation model (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National Oceanic and Atmospheric...
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The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Channel Armor Gap Crevasse (MR-06) project for 2016. This data set is used as a basemap land/water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project...
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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.
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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.
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Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the riverbed. The acoustic data were collected from the main and side channels (where accessible) of the Dresden reach June 4 – 28, 2018.
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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.
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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.
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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.
The objective of this work is to delineate areas in the Upper Mississippi River System where the combined effects of water clarity and water level fluctuation conditions are not limiting the establishment and persistence of submersed aquatic vegetation. We note that other factors, such as herbivory or high current velocity may actively prevent establishment of submersed aquatic vegetation in areas of the Upper Mississippi River System, and that this analysis is based on physical constraints imposed by water clarity and water level fluctuation only. Total suspended solids information was collected by the Upper Mississippi River Restoration program, and water level information was collected by the United State Army...
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The Randomized Shortest Path (RSP) raster delineates potential dispersal paths for male-mediated gene flow between grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE). A RSP algorithm was used to estimate the average number of net passages for all grid cells at a spatial resolution of 300 m in the study region which spans parts of Montana, Idaho, and Wyoming. RSP rasters identify potential movement paths for 3 levels of random deviation determined by the parameter Θ (i.e., Θ = 0.01, 0.001, and 0.0001) for bears moving from an origin to a destination node. Lower values of Θ result in greater exploration and more random deviation around...
Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the riverbed. The acoustic data were collected from the West Pit of Hanson Pits (where accessible) of the Marseilles reach June 25-26, 2018.
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Remote sensing technologies, such as high-resolution sonar, can be used to collect more detailed information about the benthic and water column characteristics of macro habitats in the Illinois River. Multibeam echosounders (MBES) collect multibeam and sidescan simultaneously, providing high-resolution images of the riverbed. Sidescan images, in raster format, show the recorded intensity of acoustic signal returns from the river bed. The acoustic data were collected from the main and side channels (where accessible) of the Marseilles reach June 26 – August 23, 2017, and May 22, 2018.
Wind fetch is defined as the unobstructed distance that wind can travel over water in a constant direction. Fetch is an important characteristic of open water because longer fetch can result in larger wind-generated waves. The larger waves, in turn, can increase shoreline erosion and sediment re-suspension. Wind fetches were calculated using the wind fetch model available from (http://www.umesc.usgs.gov/management/dss/wind_fetch_wave_models_2012update.html) for aquatic areas within the Upper Mississippi River System. This toolbox calculates effective wind fetch using the recommended procedure of the Shore Protection Manual (USACE 1984). A baseline conditions assessment of wind fetch was conducted to assist the Upper...
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Imagery acquired with unmanned aerial systems (UAS) and coupled with structure-from-motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms...
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These polygon features represent digitization of the glacier margins for the 37 named glaciers of Glacier National Park (GNP) and two glaciers on U.S. Forest Service’s Flathead National Forest land, derived from 2015 satellite imagery. The polygons represent only the main body portion of each glacier as it appeared in 2015 satellite imagery. Disconnected patches are not included as this dataset represents only the main body features of the named glaciers in GNP and environs. Polygons were digitized from WorldView imagery acquired on the following source dates: 20150822, 20150912, 20150915, 20150925 (World View 01 satellite). Initial digitization was completed by Melissa Brett, PSU graduate student. This set of polygons...
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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.
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This data release contains inputs and outputs needed to reproduce the findings for the publication: Rosa, S.N., and Hay, L.E., 2017, Fena Valley Reservoir watershed and water-balance model updates and expansion of watershed modeling to Southern Guam: U.S. Geological Survey Scientific Investigations Report 2017-5093, 64 p., https://doi.org/10.3133/sir20175093. Data are provided in several files: 1) the PRMS_2016 folder contains the input files needed to run each of the modeled regions in southern Guam, the calibration data files, and a README_PRMS_2016.txt document that describes the contents of this archive and the execution of the model batch files; 2) the FVR_2016 folder contains the input files needed to run...
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The stream segments available here were used in the Precipitation Runoff Modeling System (PRMS) of southern Guam documented by Rosa and Hay (2017). A Geographic Information System (GIS) file for the stream segments is provided as a shapefile with attributes ParentSeg, Region, and RegionSeg identifying the numbering convention used in the PRMS_2016 southern Guam model parameter files and Rosa and Hay (in press) report. Stream segments were derived using the processing steps outlined in Viger and Leavesley (2007) describing drainage network processing and a 5-meter digital elevation map (DEM) derived by Johnson (2012) using the Joint Airborne LIDAR Bathymetry Technical Center of Expertise topobathy data (National...
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Using data from 288 adult and yearling female elk that were captured on 22 Wyoming winter supplemental elk feedgrounds and monitored with GPS collars, we fit Step Selection Functions (SSFs) during the spring abortion season and then implemented a master equation approach to translate SSFs into predictions of daily elk distribution for 5 plausible winter weather scenarios (from a heavy snow, to an extreme winter drought year). We then predicted abortion events by combining elk distributions with empirical estimates of daily abortion rates, spatially varying elk seroprevalence, and elk population counts. Here we provide the predicted abortion events on a daily basis at a 500m resolution for the 5 different weather...
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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.


map background search result map search result map 2015_Glacier margins derived from 2015 satellite imagery for the named glaciers of Glacier National Park, MT and environs Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam Stream Segments for the southern Guam watershed model, PRMS_2016 Hydrologic Response Units (HRUs) for the Southern Guam watershed model, PRMS_2016 Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Predicted daily elk abortion events in southern GYE 2010, 2012, 2014 Illinois River, Dresden, Sidescan Image Mosaic June 2018 Illinois River, Hanson Pits,West Pit, Sidescan Image Mosaic, 2018 Illinois River, Marseilles, Sidescan Image Mosaic, 2017-2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Mapped weighted wind fetch distances within the Upper Mississippi River System for 2000 Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) High-resolution orthomosaic image (natural color) of Black Beach, Falmouth, Massachusetts on 18 March 2016 (32-bit GeoTIFF) Illinois River, Hanson Pits,West Pit, Sidescan Image Mosaic, 2018 Channel Armor Gap Crevasse (MR-06): 2016 Land-Water Classification Illinois River, Dresden, Sidescan Image Mosaic June 2018 Stream Segments for the southern Guam watershed model, PRMS_2016 Hydrologic Response Units (HRUs) for the Southern Guam watershed model, PRMS_2016 Broken Forest Canopy Identified by Lidar for the Navigational Pool 21 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 8 of the Mississippi River Illinois River, Marseilles, Sidescan Image Mosaic, 2017-2018 Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Supporting data for Fena Valley Reservoir watershed and water-balance model, southern Guam 2015_Glacier margins derived from 2015 satellite imagery for the named glaciers of Glacier National Park, MT and environs Predicted daily elk abortion events in southern GYE 2010, 2012, 2014 Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Mapped weighted wind fetch distances within the Upper Mississippi River System for 2000 Randomized shortest paths for Grizzly Bear dispersal between the GYE and NCDE