Filters: Tags: estuarine processes (X) > Types: Map Service (X)
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Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Hookton Slough near Loleta, CA water quality station (USGS site ID# 404038124131801). A continuous 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/ca/nwis/uv?site_no=404038124131801. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt Bay, CA.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Hookton Slough,
Humboldt Bay,
U.S. Geological Survey,
USGS,
Bathymetric change grids covering the periods of time from 1934 to 2011, from 2011 to 2018, and from 1934 to 2018 are presented. The grids cover a portion of the Mokelumne River, California, starting at its terminus at the San Joaquin River and moving upriver to the confluences of the north and south branches of the Mokelumne. Positive grid values indicate accretion, or a shallowing of the surface bathymetric surface, and negative grid values indicate erosion, or a deepening of the bathymetric surface. Bathymetry data sources include the U.S. Geological Survey, California Department of Water Resources, and NOAA's National Ocean Service.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Andrus Island,
Bathymetry and Elevation,
Bouldin Island,
CMHRP,
California,
Bathymetric change grids covering the periods of time from 1992 to 1998 and from 1994 to 2004 are presented. The grids cover a portion of the Sacramento River near Rio Vista, California, extending partially upstream on Cache and Steamboat sloughs by the Ryer Island Ferry, as well as continuing up the Sacramento River towards Isleton. Positive grid values indicate accretion, or a shallowing of the surface bathymetric surface, and negative grid values indicate erosion, or a deepening of the bathymetric surface. Bathymetry data sources include the U.S. Army Corps of Engineers, California Department of Water Resources, and NOAA�s National Ocean Service.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
Brannan Island,
CMHRP,
Cache Slough,
California,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Lake Erie,
biogeography,
coastal ecosystems,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Detroit River,
Great Lakes,
LIDAR,
Lake St. Clair,
St. Clair River,
This data set provides locations and values of water quality parameters from a survey conducted on August 24, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 24 survey, 17,808 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Autonomous Underwater Vehicle,
Brown Creek,
Connetquot River,
Great South Bay,
Long Island,
This data release contains coastal wetland synthesis products for the state of Maine. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, and lifespan, are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Acadia National Park,
Maine,
United States,
coastal ecosystems,
coastal processes,
This dataset provides locations and values of water quality parameters from a four-day survey conducted between August 23, 2016 and August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Great South Bay, New York. Measured parameters include bottom dissolved oxygen (DO), salinity, specific conductance, water temperature, and pH. During the four day period, data was collected along 15 transects of the Great South Bay, totaling 60,480 observation points. From these point data, rasters showing the spatial distribution of bottom dissolved oxygen were generated using an interpolator in a GIS. A unique raster is provided for each day of the survey. All data files for download are available within 'Child...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: AUV,
Autonomous Underwater Vehicle,
Connetquot River,
Ecology,
Great South Bay,
This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
Model archive summary (MAS) describing the development of a suspended-sediment concentration (SSC) surrogate regression model for the Mad River Slough near Arcata, CA water quality station (USGS site ID# 405219124085601). A 15-minute SSC record was computed using this regression model for the period of record (03-04-2016 to 09-10-2019). The computed SSC record can be found on NWIS Web at https://waterdata.usgs.gov/nwis/inventory/?site_no=405219124085601&agency_cd=USGS. The SSC record was used to assess ambient SSC conditions, the availability of suspended sediment to support surface deposition and elevation gain in adjacent salt marshes, and to characterize salt marsh resiliency to climate change impacts in Humboldt...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Humboldt Bay,
Mad River Slough,
U.S. Geological Survey,
USGS,
This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
Detroit River,
FWHydrography,
Great Lakes,
This data set provides locations and values of water quality parameters from a survey conducted on August 25, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 25 survey, 12,275 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Autonomous Underwater Vehicle,
Brown Creek,
Connetquot River,
Great South Bay,
Long Island,
Lifespan distribution in the Chesapeake Bay (CB) salt marsh complex is presented in terms of lifespan of conceptual marsh units defined by Ackerman and others (2022). The lifespan calculation is based on estimated sediment supply and sea-level rise (SLR) predictions after Ganju and others (2020). Sea level predictions are present day estimates at the prescribed rate of SLR, which correspond to the 0.3, 0.5, and 1.0 meter increase in Global Mean Sea Level (GMSL) scenarios by 2100 from Sweet and others (2022). Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands,...
Categories: Data,
Data Release - In Progress;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic Ocean,
Chesapeake Bay,
LTER,
Long-Term Ecological Research,
Maryland,
This data set provides locations and values of water quality paramters from a survey conducted on August 26, 2016 using an Autonomous Underwater Vehicle (AUV) in Patchogue Bay, NY. During the August 26 survey, 16,487 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Autonomous Underwater Vehicle,
Brown Creek,
Connetquot River,
Great South Bay,
Long Island,
Geo-referenced digital imagery of in-situ seafloor sediments in the mouth of the Columbia River was collected and analyzed to determine median grain size of the surface sediments. Digital imagery of the seafloor was collected with a “flying eyeball” (Rubin and others, 2007) from the R/V Parke Snavely from September 11 to September 13, 2014 (USGS Field Activity 2014-642-FA). The flying eyeball consists of a standard definition plumbing inspection video camera and LED light ring inserted in a 50 kg wrecking ball. The video camera has a resolution of 480 by 720 pixels with a resolution of 0.009 mm/pixel when the target is flush against the exterior surface of the lens. Sample locations were chosen to allow for the...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Columbia River,
Marine Geology,
State of Oregon,
State of Washington,
Substrate,
This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
LIDAR,
Saginaw Bay,
biogeography,
coastal ecosystems,
This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Artificial Path,
Canal / Ditch,
FWHydrography,
Great Lakes,
Hydrography,
Lifespan of salt marshes in Massachusetts (MA) are calculated using conceptual marsh units defined by Ackerman and others (2022). The lifespan calculation is based on estimated sediment supply and sea-level rise (SLR) predictions after Ganju and others (2020). Sea level predictions are local estimates which correspond to the 0.3, 0.5, and 1.0 meter increase in Global Mean Sea Level (GMSL) scenarios by 2100 from Sweet and others (2022). The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands, including Massachusetts salt marshes, with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Atlantic,
Ecology,
Environmental Health,
Geomorphology,
LTER,
This data set provides locations and values of water quality parametersters from a survey conducted on August 23, 2016 using an Autonomous Underwater Vehicle (AUV) in Nicoll Bay, NY. During the August 23 survey, 13,910 observations of water quality parameters were made. Parameters collected include dissolved oxygen, pH, water temperature, specific conductance, and salinity. Data was collected in approximately east-west transects by the AUV, with the northern-most transects made first. Data was collected between the hours of 1 am and 5 am to obtain minimum DO values in the daily cycle. There are three files available for download in the 'Attached Files' section below. There is a zip file which contains the observation...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Autonomous Underwater Vehicle,
Brown Creek,
Connetquot River,
Great South Bay,
Long Island,
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