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Background and Problem Prattsville has experienced severe flooding along the Schoharie Creek, most notably during August 2011 following Hurricane Irene, which severely damaged or destroyed large areas of the town, and caused several million dollars in damages (Figure 1). Before and during a flood, forewarning and emergency response are critical. The rescue efforts of emergency responders are often hampered by lack of an understanding of where flooding is occurring at any given moment, but also where flooding is likely to occur in the near future. Emergency responders would benefit from a library of flood-inundation maps that are referenced to the stages recorded at the U.S. Geological Survey (USGS) streamgage in...
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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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A series of 11 digital flood-inundation maps were developed for a 5.5 mile reach of the lower Pawcatuck River in Westerly, Rhode Island and Stonington and North Stonington, Connecticut by the U.S. Geological Survey in cooperation with the Town of Westerly, Rhode Island and the Rhode Island Office of Housing and Community Development. The coverage of the maps extends from downstream from the Ashaway River inflow at the Westerly, Rhode Island and North Stonington, Connecticut State border to about 500 feet (ft) downstream of the U.S. Route 1/Broad Street bridge on the state border between Westerly, Rhode Island and Stonington, Connecticut. A hydraulic model was used to compute water-surface profiles for 11 flood stages...
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Static flood-inundation boundary extents were created for Lake Champlain in Franklin, Chittenden, Addison, Rutland, and Grand Isle Counties in Vermont and Clinton, Essex, and Washington Counties in New York by using recently acquired (2009, 2012, 2014, and 2015) light detection and ranging (lidar) data. The corresponding flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water-level elevations (stages) at the USGS lake gage on the Richelieu River (Lake Champlain) at Rouses Point, N.Y. (station number 04295000). In this study, wind and seiche...
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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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Background The Upper Esopus Creek, a popular trout-fishing and recreational stream in the heart of the Catskill Mountains, received historic flooding from Tropical Storm Irene on August 28, 2011. Streamflows approached or surpassed the 1% annual exceedance probability (>100 year) flood levels at several USGS streamgages in this basin. Short-term flood impacts on biological assemblages have been assessed in several studies, but longer-term effects, recovery, and analysis of factors affecting ecosystem resiliency have rarely been investigated. The U. S. Geological Survey (USGS), New York City Department of Environmental Protection (NYCDEP), and Cornell Cooperative Extension of Ulster County (CCEUC) collaborated on...
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Digital flood-inundation maps for a 2.4-mile reach of the Schoharie Creek in North Blenheim, New York, were created by the U.S. Geological Survey (USGS) in cooperation with the New York Power Authority. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at https://fim.wim.usgs.gov/fim/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Schoharie Creek near North Blenheim, NY (station number 01350212). Flood profiles were computed for the stream reach by means of a two-dimensional implicit finite volume hydraulic model. The model was calibrated using the active (as of April,...
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Problem Surface-water information is needed for planning, design, hazard warning, and operation and management in water-related fields such as water supply, hydroelectric power, flood control, irrigation, bridge and culvert design, wildlife management, pollution abatement, flood-plain management, and water-resources development. Appropriate historical and real-time surface-water data, such as stream flow and stage, reservoir levels, and water temperature, are necessary to properly assess, manage and protect water resources. Objectives Collect timely and high quality surface-water data for (1) assessment of water resources; (2) operation of reservoirs or industries; (3) forecasting flow; (4) disposal of wastes...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate Impacts, Climate Impacts, Climate Research and Development, Climate impacts, Cooperative Water Program, All tags...
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Problem Tribal Lands of the Shinnecock Nation Tribal community were inundated during Hurricane Sandy’s storm tide, resulting in detrimental effects on the Tribal Land’s natural resources. The existing science being used to inform decisions on remediation is biased toward activities are necessarily focused on the immediate aftermath of storms An assessment of the sources of contaminants that may have been introduced from inundation is needed to provide a context with which the Tribal community can better understand how to prioritize and manage the sources and minimize risk. Objectives This project will evaluate key human- and ecological-health concerns related to transport and persistence of...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate Impacts, Climate Impacts, Climate impacts, Contaminants, Emerging, Contaminants, Emerging, All tags...
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Coastal Hydrology and Storm Surge Storm-surge is one of the most powerful and destructive elements of major storm events. Excessively high tides associated with storms can flood and inundate coastal areas, often moving sediment and altering coastal landscapes and drainages. USGS provides critical expertise in measuring storm surge and assessing conditions both before and after the storm. Through development of storm tide monitoring networks, data analysis, and data delivery, USGS provides vital information to help coastal communities prepare for and recover from storm surge events. View Fact Sheet Science Science Support for Tribes Tide gage/weather station installed in collaboration with Mashpee-Wampanoag Tribe....
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This data release contains about 60 million point cloud data points collected during 27 scans of a section of the western shoreline of the Shinnecock Peninsula in Suffolk County, New York. Data were collected during July and October of 2022. Data are provided as .las files with points classified as either bare earth (GROUND_SN_BRIC_BL_2022_v03.0 (2).las), vegetation (VEGETATION_SN_BRIC_BL_2022_v03.0.las) or unclassified (DEFAULT_SN_BRIC_BL_2022_v03.0.las). Users are encouraged to read the metadata and Noll and others (2024) to understand how the data were collected, registered, and classified.
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This data release contains results of a high-water mark survey across the five boroughs of New York City following flash flooding caused by the remnants of Hurricane Ida, September 1, 2021. The survey was conducted between September 7 and November 23, 2021, and is based on observations of mud, debris, and seed lines left by the flooding. Real time and static GNSS surveying as well as available lidar data were used to determine high-water mark elevations at 83 locations. Additional data associated with Hurricane Ida flooding can be found in the USGS Flood Event Viewer, https://stn.wim.usgs.gov/fev/#2021Ida
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Problem– Lake Ontario experienced period-of-record (1918-2017) maximum monthly average water levels during May through July 2017. NOAA lake gages recorded instantaneous peaks-of record, 249.2 at Olcott, 249.1 at Rochester, and 249.0 at Oswego and St. Vincent. These high water levels along with wind-generated waves caused flooding of thousands of residences and businesses and the erosion of miles of shoreline along the southern and eastern shorelines of the Lake. During the second week of July 2017, the USGS installed 14 temporary water-level gages and monitored this flooding through the lake’s recession. This network of water-level gages, in combination with the NOAA sites, provides a dense coverage of the lake...
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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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The coastal areas of southeastern New York (fig. 1) are highly vulnerable to tidal flooding (fig. 2). Timely evacuation of people from flood-threatened areas in advance of approaching hurricanes and nor'easters (northeast coastal storms) requires adequate flood-warning time. To begin addressing this need for immediate information on coastal flooding, the U.S. Geological Survey (USGS), in cooperation with the Town of Hempstead Department of Conservation & Waterways, Village of Freeport, and New York State Department of Environmental Conservation, has operated a network of real-time tidal water-elevation and meteorological stations since 1997 in the coastal areas of Long Island and New York City. Each tidal water-elevation...
Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate Impacts, Climate Impacts, Climate impacts, Coastal Science, Coastal Science, All tags...
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Delhi has experienced severe flooding along the West Branch Delaware River (fig. 1); most notably during January, 1996, June, 2006, and October, 2010, and August, 2011. Emergency responders would benefit from a library of flood-inundation maps that are referenced to the stages recorded at the USGS streamgage upstream from Delhi. By referring to the appropriate map, emergency responders could discern the severity of flooding (depth of water and aerial extent), identify roads that are or will soon be flooded, and make plans for notification or evacuation of residents in harm’s way based on current and near-future flood levels. Digital flood-inundation maps for a 5 mile reach of the West Branch Delaware River through...
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Background and Problem Flooding is a ubiquitous problem throughout New York State. The Schoharie Creek has experienced severe floods, including the devastating floods of August 2011 following Hurricane Irene, which severely damaged or destroyed many homes, businesses, roads, and other property within the Schoharie Valley. In North Blenheim, homes, the Blenheim Town Hall, fire hall, and maintenance hall were inundated; road were washed out and the historic covered bridge was destroyed. In addition to the flood of 2011, major floods occurred in April 1987, January 1996, and April 2005. Before and during a flood, forewarning and emergency response are critical to minimizing loss of life and property. The rescue efforts...
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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 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 Southeastern New York Tide-Telemetry and Coastal-Flood-Warning System Flood-Inundation Maps for the West Branch Delaware River, Delhi, New York Surface-Water Data Collection in New York Flood-Inundation Maps for the Schoharie Creek at Prattsville, New York Hurricane Sandy -- Science to support coastal resilience Human- and Ecological-Health Concerns Related to Transport and Persistence of Contaminants on Shinnecock Nation Tribal Lands Effect of Flooding from Tropical Storm Irene on Fish Assemblages in the Upper Esopus Creek Basin Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut Lake Ontario Flood Monitoring and Mapping Flood-Inundation Shapefiles and Grids for Lake Champlain in Vermont and New York Flood-Inundation Mapping for Schoharie Creek at North Blenheim, NY Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 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 Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 of the Mississippi River Geospatial datasets and hydraulic model for flood-inundation maps for the Schoharie Creek in North Blenheim, NY High-Water Marks in the Five Boroughs of New York City from Flash Flooding Caused by the Remnants of Hurricane Ida, September 1, 2021 Water-surface elevation grids for flood-inundation maps for the Schoharie Creek in North Blenheim, NY Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Human- and Ecological-Health Concerns Related to Transport and Persistence of Contaminants on Shinnecock Nation Tribal Lands Geospatial datasets and hydraulic model for flood-inundation maps for the Schoharie Creek in North Blenheim, NY Water-surface elevation grids for flood-inundation maps for the Schoharie Creek in North Blenheim, NY Flood-Inundation Maps for the Schoharie Creek at Prattsville, New York Flood-Inundation Maps for the West Branch Delaware River, Delhi, New York Flood-Inundation Mapping for Schoharie Creek at North Blenheim, NY Flood-Inundation Grids and Shapefiles for the Lower Pawcatuck River in Westerly, Rhode Island, and Stonington and North Stonington, Connecticut Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Effect of Flooding from Tropical Storm Irene on Fish Assemblages in the Upper Esopus Creek Basin Forest Canopy Gaps Identified by Lidar for Navigational Pool 24 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 9 of the Mississippi River High-Water Marks in the Five Boroughs of New York City from Flash Flooding Caused by the Remnants of Hurricane Ida, September 1, 2021 Forest Canopy Gaps Identified by Lidar for Navigational Pool 26 of the Mississippi River Forest Canopy Gaps Identified by Lidar for Navigational Pool 13 of the Mississippi River Flood-Inundation Shapefiles and Grids for Lake Champlain in Vermont and New York Lake Ontario Flood Monitoring and Mapping Southeastern New York Tide-Telemetry and Coastal-Flood-Warning System Surface-Water Data Collection in New York Hurricane Sandy -- Science to support coastal resilience