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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) Program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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This part of the data release presents topography data from northern Monterey Bay, California collected in March 2016 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2016-627-FA). For each area surveyed, the scanner was placed at several positions which were selected to provide maximum line-of-sight coverage of the area of interest. Scans were typically conducted in panoramic mode, creating a detailed point cloud of all unobstructed surfaces in a 360 degree view of the scanner. At each scan position, co-registered photographic imagery was also collected with a scanner mounted DSLR camera. Scanner registration was performed by placing four or more cylindrical or flat reflective tripod-mounted...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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This data release presents beach topography and nearshore bathymetry data from repeated surveys in northern Monterey Bay, California to document changes in shoreline position and coastal morphology as they relate to episodic (storms), seasonal, and interannual and longer (e.g. El Niño) processes. The ongoing monitoring program was initiated in October 2014 with semi-annual surveys performed in late summer (September or October) and Spring (March). Nearshore bathymetry and topography data were collected along a series of shore-perpendicular transects spaced primarily at 50-250 m intervals between Santa Cruz and Moss Landing, California (fig. 1). The transects were located along sandy stretches of the coastline...
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Sediment accumulation in playa wetlands, such as those in the Rainwater Basin in south-central Nebraska, reduces the hydrologic functionality and alters the vegetative composition of the wetlands reducing their ability to provide forage and resting habitat for migratory birds. Most Rainwater Basin wetlands have intense agricultural production occuring within their watersheds that accelerate sediment accumulation within the wetland. This sediment accumulation reduced the abilty of the wetland to hold water which, in turn, allows invasive and upland plants to proliferate with the wetland footprint. Planting upland grassland buffers around wetlands reduces the sediment load entering the wetland reducing the need...
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Changes in tidal marsh area and habitat type in response to sea-level rise were modeled using the Sea Level Affecting Marshes Model (SLAMM 6) that accounts for the dominant processes involved in wetland conversion and shoreline modifications during long-term sea level rise (Park et al. 1989; Successive versions of the model have been used to estimate the impacts of sea level rise on the coasts of the U.S. The model was produced by Warren Pinnacle Consulting, Inc. for the U.S. Fish and Wildlife Service. The SLAMM version 6 technical document can be accessed at http://warrenpinacle.com/prof/SLAMM. SLAMM outputs were converted from raster to vector features. Land cover (wetland) types were generalized to MesoHabitat...
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This part of the data release presents topography data from northern Monterey Bay, California collected in September 2015 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2015-668-FA). For each area surveyed, the scanner was placed at several positions which were selected to provide maximum line-of-sight coverage of the area of interest. Scans were typically conducted in panoramic mode, creating a detailed point cloud of all unobstructed surfaces in a 360 degree view of the scanner. At each scan position, co-registered photographic imagery was also collected with a scanner mounted DSLR camera. Scanner registration was performed by placing four or more cylindrical or flat reflective tripod-mounted...
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) Program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Spatial data depicting marsh types (e.g. fresh, intermediate, brackish and saline) for the north-central Gulf of Mexico coast are inconsistent across the region, limiting the ability of conservation planners to model the current and future capacity of the coast to sustain priority species. The goal of this study was to (1) update the resolution of coastal Texas vegetation data to match that of Louisiana, Mississippi, and Alabama, and (2) update vegetation maps for the Texas through Alabama region using current Landsat Imagery. Creating consistent regional vegetation maps will enable scientists to model vegetation response to and potential impacts of future climate change.
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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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.
Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and...
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A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). Products included...


map background search result map search result map Mapping Fresh, Intermediate, Brackish and Saline Marshes in the North Central Gulf of Mexico Coast to Inform Future Projections Pre-pulse lidar Seaside Sparrow- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions RUSLE2 Soil Erosion Model for the Rainwater Basin Region of Nebraska 2010: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey Western Lake Erie Restoration Assessment Dikes UMRR Dresden Reach Topobathy UMRR Marseilles Topobathy UMRR Alton Bathymetry Footprint UMRR Starved Rock Bathymetry Footprint UMRR Pool 3 Bathymetry Footprint UMRR Pool 11 Bathymetry Footprint UMRR Pool 14 Bathymetry Footprint UMRR Pool 15 Bathymetry Footprint Beach topography and nearshore bathymetry of northern Monterey Bay, California Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Terrestrial lidar data from northern Monterey Bay, California, September 2015 Terrestrial lidar data from northern Monterey Bay, California, March 2016 LiDAR Derived Watershed Boundaries for Rainwater Basin Wetlands Terrestrial lidar data from northern Monterey Bay, California, March 2016 Terrestrial lidar data from northern Monterey Bay, California, September 2015 UMRR Dresden Reach Topobathy UMRR Pool 3 Bathymetry Footprint Beach topography and nearshore bathymetry of northern Monterey Bay, California UMRR Marseilles Topobathy UMRR Pool 14 Bathymetry Footprint UMRR Pool 11 Bathymetry Footprint UMRR Alton Bathymetry Footprint 2010: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey Pre-pulse lidar Western Lake Erie Restoration Assessment Dikes Seaside Sparrow- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions Black Rail- Potential Habitat Under Sea Level Affecting Marshes Model (SLAMM) Conditions RUSLE2 Soil Erosion Model for the Rainwater Basin Region of Nebraska LiDAR Derived Watershed Boundaries for Rainwater Basin Wetlands Mapping Fresh, Intermediate, Brackish and Saline Marshes in the North Central Gulf of Mexico Coast to Inform Future Projections