Filters: Tags: Chesapeake Bay (X)
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The Chesapeake Bay Estuary is the largest estuary in the United States and provides habitats for diverse wildlife and aquatic species, protects communities against flooding, reduces pollution to waterways, and supports local economies through commercial and recreational activities. In the Spring of 2018, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project at the USGS Earth Resources Observation and Science (EROS) Center and the Virginia Institute of Marine Science (VIMS) Center for Coastal Resources Management (CCRM) initiated collaborative work. The goal of this collaboration is to evaluate how various remote sensing technologies can be employed to model estuarine...
Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA....
Categories: Data;
Tags: C-band synthetic aperture radar,
Cape Cod,
Chesapeake Bay,
National greenhouse gas inventory,
Puget Sound,
Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version...
This metadata record documents 2 comma delimited tables that support the journal article "Bank-derived material dominates fluvial sediment in a suburban Chesapeake Bay watershed" by Cashman and others, in review. They consist of a source and target dataset.
Categories: Data;
Tags: Bank erosion,
Chesapeake Bay,
Sediment,
Sediment fingerprinting,
USGS Science Data Catalog (SDC),
Winter-spring nitrogen loads as measured at the Susquehanna River at Conowingo Maryland and Potomac River at Washington, D.C. have been determined to be an effective indicator of summer anoxic and hypoxic volume in Chesapeake Bay. The U.S. Geological Survey (USGS) provides an estimate of winter-spring nitrogen loadings to support an annual forecast of summer Chesapeake Bay conditions. The specific period of estimation includes the months of January through May. This forecast is coordinated through an established relationship with the National Oceanic and Atmospheric Administration (NOAA), University of Maryland Center for Estuarine Science (UMCES) and Maryland's Department of Natural Resources. The results presented...
Categories: Data;
Tags: Chesapeake Bay,
Nitrogen load,
Potomac River,
Susquehanna River,
USGS Science Data Catalog (SDC),
Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Chesapeake Bay,
biota,
digital elevation models,
estuary,
lidar,
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the nine Chesapeake Bay River Input Monitoring (RIM) stations for the period 1985 through 2015. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the nine RIM watersheds. When summed, the loads from the nine RIM stations represents the total load delivered from nearly eighty-percent of the bay watershed....
Categories: Data;
Types: Citation;
Tags: Chesapeake Bay,
Nitrogen Loads,
Phosphorus Loads,
Suspended Sediment Loads,
Water Quality
We collated existing quantitative data on avian dietary composition of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diets of each waterbird species. This data will enable us to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for Chesapeake Bay ecosystem health. These data support a paired USGS authored publication.
Input predictor variables and output predictions from statistical modeling of floodplains, streambanks, and streambeds for each NHDPlusV2 stream reach in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment...
This USGS Data Release represents tabular data for chemical and physical attributes, rates of deposition, erosion, and mineralization of bank and floodplain sediments and soils from five study sites in the Smith Creek watershed between 2012 and 2015. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Smith Creek floodplain soils dataset (tabular data) 2. Smith Creek bank soils dataset (tabular data) These data support the following publication: Gillespie, J.L., Noe, G.B., Hupp, C.R., Gellis, A.C., and Schenk, E.R.,...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
Massanutten Mountain Ridge,
Rockingham County, VA,
Shenandoah County, VA,
Shenandoah Valley,
In many coastal regions throughout the world, there is increasing pressure to harden shorelines to protect human infrastructures against sea level rise, storm surge, and erosion. These data reflect the digitization of the shorelines of 21 sub-estuaries throughout the Chesapeake Bay (USA) as observed from 2010 through 2014. Shoreline segments are classified into one of seven shoreline types: bulkhead, riprap, developed, natural marsh, Phragmites-dominated marsh, sandy beach, and forest. These data were collected as part of a larger effort to understand the impacts of shoreline hardening on waterbird community integrity.
The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was developed to explore factors influencing changes in flow-normalized flux of total nitrogen over the period 1990-2010 at 43 sites in the non-tidal Chesapeake Bay watershed. Model inputs, outputs, and code are included in this data release, and are described below.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
USGS Science Data Catalog (SDC),
nutrients
Predictions from statistical modeling of floodplains, streambanks, and streambeds in the Chesapeake Bay and Delaware River watersheds of the U.S. Mid-Atlantic. Random Forest statistical models using either 1) characteristics of upstream drainage area, or 2) characteristics of upstream drainage area (Wieczorek et al. 2018, https://doi.org/10.5066/f7765d7v) and reach geomorphometry (Hopkins et al. 2020, https://doi.org/10.5066/P9RQJPT1), were used to explain and predict spatial variation in measured floodplain and streambank flux of sediment, fine sediment, sediment-C, sediment-N, and sediment-P and rates of geomorphic change, and streambed sediment characteristics (d50, cover by fine sediment, cover by fine and sand...
Wild lesser scaup from the Chesapeake Bay, captured and implanted with satellite transmitters for a separate ecology study, were opportunistically sampled for avian influenza. These data detail the virological sampling results, obtained post release, which include a single positive for clade 2.3.4.4 H5N1 virus of the A/goose/Guangdong/1/1996 (Gs/GD) H5N1 lineage of highly pathogenic IAV. These data also include the movements of the infected bird from release until death as well as four conspecifics marked and released concurrent with the HPAI positive bird. These data support a paired publication.
Categories: Data;
Tags: Chesapeake Bay,
Ecology,
USGS Science Data Catalog (SDC),
Wildlife Disease,
avian influenza,
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2014. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
load analysis,
nitrogen,
nutrient content,
phosphorus,
Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2014. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on Time, Discharge, and Season). The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. To determine the trend in loads, the annual load results are flow normalized to integrate out the year-to-year variability in river discharge....
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chesapeake Bay,
load analysis,
nitrogen,
nutrient content,
phosphorus,
These data describe the area of different habitat covered in water as determined via three approaches: manual surveys, digitized aerial imagery, and categorization of the newly available dynamic surface water extent dataset derived from satellite imagery. These data support a scientific publication.
Categories: Data;
Tags: Chesapeake Bay,
Remote Sensing,
USGS Science Data Catalog (SDC),
biota,
dynamic surface water extent,
These videos show a pair of common terns usurping a least tern nest with chicks. These data support a paired USGS authored manuscript.
Categories: Data;
Tags: Chesapeake Bay,
Ecology,
Poplar Island,
USGS Science Data Catalog (SDC),
biota,
U. S. Geological Survey (USGS) scientists completed a data collection campaign from the 25th of April to the 10th of June in 2022, using various methods to record geomorphic and habitat indicators throughout 30 streams on the Delmarva Peninsula. Field methods included GNSS surveys, gravelometer-based pebble count readings, visual assessments, and riparian analyses. This metadata record contains all raw observations from the campaign as well as numerous summary metrics to be used in model development. Those "model-ready" data can be found in Delmarva_Model_Deliverable.csv in the parent item, while the two child items containing raw in-channel observations and raw survey data. Attached to this release is a data dictionary...
Categories: Data;
Tags: Chesapeake Bay,
Chesapeake Bay,
Delaware,
Delmarva Peninsula,
GPS measurement,
These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated values files (CSVs) for the local catchment linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. The summarized data tables are structured as a single column representing the catchment id...
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