14 datasets found
  1. d

    Depth grids of the flood-inundation maps for the Patoka River in and near...

    • datasets.ai
    • data.usgs.gov
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    55
    Updated Aug 8, 2024
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    Department of the Interior (2024). Depth grids of the flood-inundation maps for the Patoka River in and near Jasper, southwestern Indiana [Dataset]. https://datasets.ai/datasets/depth-grids-of-the-flood-inundation-maps-for-the-patoka-river-in-and-near-jasper-southwest
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    55Available download formats
    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Southwestern Indiana, Patoka River, Indiana
    Description

    Digital flood-inundation maps for a 9.5-mile reach of the Patoka River in and near the city of Jasper, southwestern Indiana, from the streamgage near County Road North 175 East, downstream to State Road 162, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Patoka River at Jasper, Indiana (station number 03375500). The Patoka streamgage is located at the upstream end of the 9.5 mile river reach. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, although flood forecasts or the stages for action and minor, moderate, and major flood stages are not currently (2017) available at this site (JPRI3). Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at the Patoka River at Jasper, Ind., streamgage and the documented high-water marks from the flood of April 30, 2017. The calibrated hydraulic model was then used to compute 5 water-surface profiles for flood stages referenced to the streamgage datum and ranging from 15 feet, or near bankfull, to 19 feet. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foot horizontal resolution) to delineate the area flooded at each water level.

  2. d

    Inundation layers for the Neches River for the August and September 2017...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Inundation layers for the Neches River for the August and September 2017 flood event in Texas [Dataset]. https://catalog.data.gov/dataset/inundation-layers-for-the-neches-river-for-the-august-and-september-2017-flood-event-in-te
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Neches River, Texas
    Description

    Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017. The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Neches River within counties of Orange, Jasper, Hardin, Jefferson, and Tyler, including the communities of Beaumont, Evadale, Port Neches, and Central Gardens, Texas. The mapped area of the Neches Basin was separated into two sections due to the availability and location of high-water marks. The upper reach of the Neches River extends from near the confluence with the Angelina River to the confluence of Black Creek in the Big Thicket National Preserve. The lower reach of the Neches River extends from the confluence of Black Creek in the Big Thicket National Preserve to Sabine Lake. These geospatial data include the following items: 1. bnd_neches_upper and bnd_neches_lower; shapefiles containing the polygon showing the mapped area boundary for the upper and lower Neches River flood maps, 2. hwm_neches_upper and hwm_neches_lower; shapefiles containing high-water mark points used for inundation maps, 3. polygon_neches_upper and polygon_neches_lower; shapefiles containing mapped extent of flood inundation for the upper and lower mapped sections of the Neches River, derived from the water-surface elevation surveyed at high-water marks, and 4. depth_upper and depth_lower; raster files for the flood depths derived from the water-surface elevation surveyed at high-water marks. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). These data show the area of inundation within communities along the Neches River, Texas. The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

  3. f

    Water Surface Elevation Rasters

    • figshare.com
    txt
    Updated Feb 14, 2018
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    Matthew Bilskie (2018). Water Surface Elevation Rasters [Dataset]. http://doi.org/10.6084/m9.figshare.5886955.v1
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    txtAvailable download formats
    Dataset updated
    Feb 14, 2018
    Dataset provided by
    figshare
    Authors
    Matthew Bilskie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Model results as shown in Figure 2 of the manuscript.Simulated water surface elevation (m, NAVD88) for R (rainfall excess), S (hurricane storm surge), and R (rainfall excess and hurricane storm surge) at 0 days (hurricane located well offshore and surface water flood initialized), respectively; +1.5 days (center of hurricane is located southwest of New Orleans); +1.75 days (center of hurricane located southeast of Baton Rouge), respectively; Simulated peak water levels (m, NAVD88) obtained for R, S, and RS, respectively.

  4. c

    Inundation layers for the San Jacinto River for the August and September...

    • s.cnmilf.com
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Inundation layers for the San Jacinto River for the August and September 2017 flood event in Texas [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/inundation-layers-for-the-san-jacinto-river-for-the-august-and-september-2017-flood-event-
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    San Jacinto River, Texas
    Description

    Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting _location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017. The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the West Fork San Jacinto River and East Fork San Jacinto River within counties of Grimes and Walker, Texas. The mapped area of the San Jacinto Basin and tributaries were separated into two sections due to the availability and _location of high-water marks for the West Fork San Jacinto River and East Fork San Jacinto River. The inundation map of the West Fork San Jacinto River is a 36-mi reach of the main stem of San Jacinto River near Conroe, Tex. and includes Cypress Creek (53-mi reach), Little Cypress Creek (21-mi reach), Willow Creek (6-mi reach), Spring Creek (68-mi reach), Walnut Creek (15-mi reach), Panther Branch (11-mi reach), Lake Creek (7-mi reach), and Crystal Creek (2-mi reach). The inundation map of the East Fork San Jacinto River is a 65-mi reach of the main stem of the San Jacinto River near Coldspring, Tex. and includes White Oak Creek (9-mi reach), Caney Creek (31-mi reach), Peach Creek (19-mi reach), Winters Bayou (33-mi reach), and Luce Bayou (9-mile reach). The 18-mi reach of the San Jacinto River from the confluence of the west and east forks to the Lake Houston Dam near Shelton, Tex. is also included in the inundation map. These geospatial data include the following items: 1. bnd_west and bnd_east; shapefiles containing the polygon showing the mapped area boundary for the West Fork and East Fork San Jacinto River flood maps, 2. hwm_west and hwm_east; shapefiles containing high-water mark points used for inundation maps, 3. polygon_west and polygon_east; shapefiles containing mapped extent of flood inundation for the West Fork and East Fork mapped sections of the San Jacinto River, derived from the water-surface elevation surveyed at high-water marks, and 4. depth_west and depth_east; raster files for the flood depths derived from the water-surface elevation surveyed at high-water marks. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

  5. d

    Inundation layers for the Pine Island Bayou for the August and September...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Sep 15, 2017
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    Department of the Interior (2017). Inundation layers for the Pine Island Bayou for the August and September 2017 flood event in Texas [Dataset]. https://datasets.ai/datasets/inundation-layers-for-the-pine-island-bayou-for-the-august-and-september-2017-flood-event-
    Explore at:
    55Available download formats
    Dataset updated
    Sep 15, 2017
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Pine Island Bayou, Texas
    Description

    Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017.
    The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Pine Island Bayou within the communities of Hull, Daisetta, Sour Lake, Nome, Bevil Oaks, Rose Hill Acres, and the outskirts of Beaumont, Texas. These geospatial data include the following items: 1. bnd_pib; shapefile containing the polygon showing the mapped area boundary for the Pine Island Bayou flood maps, 2. hwm_pib; shapefile containing high-water mark points, 3. polygon_pib; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, and 4. depth_pib; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). These data show the area of inundation within communities along the Pine Island Bayou, Texas. This polygon shapefile was created to provide an extent of flood inundation along the Pine Island Bayou within communities in the counties of Jefferson, Hardin, Liberty, and Orange, Texas. The extent of the inundation map is a 68-mi reach of Pine Island Bayou through the communities of Hull, Daisetta, Sour Lake, Nome, Bevil Oaks, Rose Hill Acres, and the outskirts of Beaumont. The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

  6. r

    AWRA South West Coast Assessment 2010

    • researchdata.edu.au
    Updated May 5, 2013
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    Bureau of Meteorology (2013). AWRA South West Coast Assessment 2010 [Dataset]. https://researchdata.edu.au/awra-south-west-coast-assessment-2010
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    Dataset updated
    May 5, 2013
    Dataset provided by
    Bureau of Meteorology
    Time period covered
    Jul 8, 2009 - Jun 8, 2010
    Area covered
    Description

    This assessment and related data examines water resources in the South West Coast region in 2009–10 and over recent decades. Seasonal variability and trends in modelled water flows, stores and levels are considered at the regional level and also in more detail at sites for selected rivers. Information on water use is provided for selected urban centres and irrigation areas. It

    begins with an overview of key data and information on water flows, stores and use in the region in recent times followed by a brief description of the region. Water quality, which is important in any water resources assessment, is not addressed. At the time of writing, suitable quality controlled and assured surface water quality data from the Australian Water Resources Information System (Bureau of Meteorology 2011a) were not available. Groundwater and water use are only partially addressed for the same reason. In future reports, these aspects will be dealt with more thoroughly as suitable data become operationally available.

    Key data and information

    The assessment presents the 2009–10 annual landscape water flows and the change in accessible surface water storage in the South West Coast region. The rainfall deficit that occurred evapotranspiration total is higher than rainfall) resulted in a low regional average landscape water yield1 and also contributed to further decreases in soil moisture levels. In contrast, accessible surface water storage volumes in the major reservoirs of the region increased slightly, mainly due to the fact that many of these storages are located in catchments where streamflow was at an approximately average level for the year.http://www.bom.gov.au/water/awra/2010/images/small/swcoast.gif" alt="" />

  7. n

    Data from: Hurricane Rita Surge Data, Southwestern Louisiana and...

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). Hurricane Rita Surge Data, Southwestern Louisiana and Southeastern Texas, September to November 2005 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C2231548576-CEOS_EXTRA.html
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    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    Pressure transducers and high-water marks were used to document the inland water levels related to storm surge generated by Hurricane Rita in southwestern Louisiana and southeastern Texas. On September 22-23, 2005, an experimental monitoring network consisting of 47 pressure transducers (sensors) was deployed at 33 sites over an area of about 4,000 square miles to record the timing, extent, and magnitude of inland hurricane storm surge and coastal flooding. Sensors were programmed to record date and time, temperature, and barometric or water pressure. Water pressure was corrected for changes in barometric pressure and salinity. Elevation surveys using global-positioning systems and differential levels were used to relate all storm-surge water-level data, reference marks, benchmarks, sensor measuring points, and high-water marks to the North American Vertical Datum of 1988 (NAVD 88). The resulting data indicated that storm-surge water levels over 14 feet above NAVD 88 occurred at three locations and rates of water-level rise greater than 5 feet per hour occurred at three locations near the Louisiana coast.

    Quality-assurance measures were used to assess the variability and accuracy of the water-level data recorded by the sensors. Water-level data from sensors were similar to data from co-located sensors, permanent U.S. Geological Survey streamgages, and water-surface elevations performed by field staff. Water-level data from sensors at selected locations were compared to corresponding high-water mark elevations. In general, the water-level data from sensors were similar to elevations of high quality high-water marks, while reporting consistently higher than elevations of lesser quality high-water marks.

    [Summary provided by the USGS.]

  8. n

    Hurricane Katrina Imagery from Louisiana State University Earth Scan...

    • access.earthdata.nasa.gov
    • cmr.earthdata.nasa.gov
    Updated Apr 24, 2017
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    (2017). Hurricane Katrina Imagery from Louisiana State University Earth Scan Laboratory [Dataset]. https://access.earthdata.nasa.gov/collections/C1214621393-SCIOPS
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    Dataset updated
    Apr 24, 2017
    Time period covered
    Aug 28, 2005 - Present
    Area covered
    Description

    The Louisiana State University Earth Scan Laboratory will continue to provide satellite imagery, analysis, and information as rapidly as possible of Hurricane Katrina and her aftermath.

           The Earth Scan Laboratory has served the the emergency relief efforts,
           state-wide, and at the LOHSEP since before Katrina made landfall, and, will
           continue to provide satellite-based analysis and operational support throughout
           the recovery effort. Hurricane Katrina's Aftermath is being monitored, and
           studied with satellite imagery acquired at the ESL, and obtained from outside
           sources. Links to other sites related to the post-storm analysis are also
           provided.
    
  9. n

    COMET Case Study 035:San Antonio Flood at UCAR/JOSS/NOAA/CODIAC

    • access.earthdata.nasa.gov
    • gcmd.earthdata.nasa.gov
    Updated Apr 21, 2017
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    (2017). COMET Case Study 035:San Antonio Flood at UCAR/JOSS/NOAA/CODIAC [Dataset]. https://access.earthdata.nasa.gov/collections/C1214611190-SCIOPS
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    Dataset updated
    Apr 21, 2017
    Time period covered
    Oct 16, 1998 - Oct 19, 1998
    Area covered
    Description

    During the weekend of 17-18 October 1998, heavy rains fell over south and southeast Texas. Low level moisture was transported into southeast Texas from the Gulf of mexico while Hurricane Madeline off the Pacific coast of Mexico provided mid-level moisture into southern Texas. 20 to 30 inches of rain fell locally near San Antonio, with surrounding areas receiving 10 to 20 inches of precipitation. This heavy rainfall resulted in flash flooding from San Antonio to Austin, followed by record breaking river flooding along several southern Texas rivers in the following days. 31 people drowned during the flooding.

                    For more information, see:
                    "http://www.joss.ucar.edu/cgi-bin/codiac/projs?COMET_CASE_035"
    
                    and
    
                    "http://www.comet.ucar.edu/resources/cases/c35_17oct98/"
    
  10. d

    Tickfaw River Flood Map Files.

    • datadiscoverystudio.org
    • dataone.org
    • +4more
    Updated May 20, 2018
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    (2018). Tickfaw River Flood Map Files. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ce25909985644df9a1fb786f4286e7e0/html
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    Dataset updated
    May 20, 2018
    Area covered
    Tickfaw River
    Description

    description: A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 20175005, 26 p., https://doi.org/10.3133/sir20175005. First release: February 2017 Revised: April 2017 (ver. 1.1) Additionally, there is a revision history text file available on the main page that explains exactly what changed in the revision.; abstract: A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 20175005, 26 p., https://doi.org/10.3133/sir20175005. First release: February 2017 Revised: April 2017 (ver. 1.1) Additionally, there is a revision history text file available on the main page that explains exactly what changed in the revision.

  11. d

    Inundation layers for the San Bernard River for the August and September...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Inundation layers for the San Bernard River for the August and September 2017 flood event in Texas [Dataset]. https://catalog.data.gov/dataset/inundation-layers-for-the-san-bernard-river-for-the-august-and-september-2017-flood-event-
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    San Bernard River, Texas
    Description

    Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017. The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the San Bernard River within counties of Colorado, Wharton, Austin, Fort Bend, and Brazoria, Texas. The mapped area of the Sabine Basin was separated into three sections due to the availability and location of high-water marks; upper, middle, and lower. The upper reach includes 20-mi of the San Bernard River, extending from Interstate 10 near Sealy, Texas on the upstream end continuing downstream through the Attwater Prairie National Wildlife Refuge in Colorado County, Texas. The middle reach includes 46-mi of the San Bernard River, extending from Wallis, Texas in Austin County downstream through East Bernard, Texas in Wharton County and Kendleton, Texas in Fort Bend County. The lower reach includes 33-mi of the San Bernard River; in this reach, the San Bernard River flows past Sweeny and Brazoria, Texas in Brazoria County; the downstream extent terminates at the San Bernard National Wildlife Refuge. These geospatial data include the following items: 1. bnd_sanbernard_upper, bnd_sanbernard_middle, and bnd_sanbernard_lower; shapefiles containing the polygon showing the mapped area boundary for the upper, middle, and lower San Bernard River flood maps, 2. hwm_sanbernard_upper, hwm_sanbernard_middle, and hwm_sanbernard_lower; shapefiles containing high-water mark points used for inundation maps, 3. polygon_ sanbernard_upper, polygon_sanbernard_middle, and polygon_sanbernard_lower; shapefiles containing mapped extent of flood inundation for the upper, middle, and lower mapped sections of the San Bernard River, derived from the water-surface elevation surveyed at high-water marks, and 4. depth_sb_up, depth_sb_mid, and depth_sb_low; raster files for the flood depths derived from the water-surface elevation surveyed at high-water marks. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). These data show the area of inundation within communities along the San Bernard River, Texas. The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

  12. d

    Amite River Flood Map Files.

    • datadiscoverystudio.org
    • data.usgs.gov
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    Updated May 20, 2018
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    (2018). Amite River Flood Map Files. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/03f3c24b6ba44d2da2f3632efd36203a/html
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    Dataset updated
    May 20, 2018
    Area covered
    Amite River
    Description

    description: A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 20175005, 26 p., https://doi.org/10.3133/sir20175005.; abstract: A slow-moving area of low pressure and a high amount of atmospheric moisture produced heavy rainfall across Louisiana and southwest Mississippi in August 2016. Over 31 inches of rain was reported in Watson, 30 miles northeast of Baton Rouge, over the duration of the event. The result was major flooding that occurred in the southern portions of Louisiana and included areas surrounding Baton Rouge and Lafayette along rivers such as the Amite, Comite, Tangipahoa, Tickfaw, Vermilion, and Mermentau. The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center operates many continuous, streamflow-gaging stations in the impacted area. Peak streamflows of record were measured at 10 locations, and seven other locations experienced peak streamflows ranking in the top 5 for the duration of the period of record. In August 2016, USGS personnel made fifty streamflow measurements at 21 locations on streams in Louisiana. Many of those streamflow measurements were made for the purpose of verifying the accuracy of the stage-streamflow relation at the associated gaging station. USGS personnel also recovered and documented 590 high-water marks after the storm event by noting the location and height of the water above land surface. Many of these high water marks were used to create twelve flood-inundation maps for selected communities of Louisiana that experienced flooding in August 2016. This data release provides the actual flood-depth measurements made in selected river basins of Louisiana that were used to produce the flood-inundation maps published in the companion product (Watson and others, 2017). Reference Watson, K.M., Storm, J.B., Breaker, B.K., and Rose, C.E., 2017, Characterization of peak streamflows and flood inundation of selected areas in Louisiana from the August 2016 flood: U.S. Geological Survey Scientific Investigations Report 20175005, 26 p., https://doi.org/10.3133/sir20175005.

  13. d

    Flood Inundation Geospatial data for the August and September 2017 flood...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Flood Inundation Geospatial data for the August and September 2017 flood event in Texas [Dataset]. https://catalog.data.gov/dataset/flood-inundation-geospatial-data-for-the-august-and-september-2017-flood-event-in-texas
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Texas
    Description

    Hurricane Harvey made landfall near Rockport, Texas on August 25 as a category 4 hurricane with wind gusts exceeding 150 miles per hour. As Harvey moved inland the forward motion of the storm slowed down and produced tremendous rainfall amounts to southeastern Texas and southwestern Louisiana. Historic flooding occurred in Texas and Louisiana as a result of the widespread, heavy rainfall over an 8-day period in Louisiana in August and September 2017. Following the storm event, U.S. Geological Survey (USGS) hydrographers recovered and documented 2,123 high-water marks in Texas, noting location and height of the water above land surface. Many of these high-water marks were used to create flood-inundation maps for selected communities of Texas that experienced flooding in August and September, 2017. Nineteen flood-inundation maps in 11 river and coastal basins were created by using GIS for areas near rivers that flooded as a result of Harvey in southeastern Texas and southwestern Louisiana. The study area consists of the Brazos, Neches, Pine Island Bayou, Sabine, San Bernard, and San Jacinto River Basins along the coast of the Gulf of Mexico, also including six smaller coastal basins that drain directly to the Gulf of Mexico, and coastal areas from Port Aransas to Matagorda Bay. The HWM elevation data from the USGS Short-tern Network (STN) was used to create the flood water-surface raster file (U.S. Geological Survey [USGS], 2018, Short-Term Network Data Portal: USGS flood information web page, accessed February 13, 2018, at https://water.usgs.gov/floods/FEV.). The water-surface raster was the basis for the creation of the final flood inundation polygon and depth layer to support the development of flood inundation map for the Federal Emergency Management Agency's (FEMA) response and recovery operations.

  14. d

    Denomie Creek near Odanah, Wisconsin, Bad River Reservation Flood Map Files...

    • datadiscoverystudio.org
    • data.usgs.gov
    • +3more
    Updated Jun 8, 2018
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    (2018). Denomie Creek near Odanah, Wisconsin, Bad River Reservation Flood Map Files of July 2016. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3fb0ba5a201046bb9fb62bab16800249/html
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    Dataset updated
    Jun 8, 2018
    Area covered
    New Odanah, Bad River Reservation
    Description

    description: These polygon boundaries, inundation extents, and depth rasters were created to provide an extent of flood inundation along the Denomie Creek within the community of Odanah, Wisconsin. The upstream and downstream reach extent is determined by the location of high-water marks, not extending the boundary far past the outermost high-water marks. In areas of uncertainty of flood extent, the model boundary is lined up with the flood inundation polygon extent. This boundary polygon was used to extract the final flood inundation polygon and depth layer from the flood water surface raster file. Flood inundation mapping along the Denomie Creek follows near the eastern side of Odanah and the Bad River Lodge and Casino. The mapping extent begins about 300 ft southwest of U.S. Highway 2 and continues about 1.3 miles downstream into the Bad River Slough adjacent to Lake Superior.; abstract: These polygon boundaries, inundation extents, and depth rasters were created to provide an extent of flood inundation along the Denomie Creek within the community of Odanah, Wisconsin. The upstream and downstream reach extent is determined by the location of high-water marks, not extending the boundary far past the outermost high-water marks. In areas of uncertainty of flood extent, the model boundary is lined up with the flood inundation polygon extent. This boundary polygon was used to extract the final flood inundation polygon and depth layer from the flood water surface raster file. Flood inundation mapping along the Denomie Creek follows near the eastern side of Odanah and the Bad River Lodge and Casino. The mapping extent begins about 300 ft southwest of U.S. Highway 2 and continues about 1.3 miles downstream into the Bad River Slough adjacent to Lake Superior.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Department of the Interior (2024). Depth grids of the flood-inundation maps for the Patoka River in and near Jasper, southwestern Indiana [Dataset]. https://datasets.ai/datasets/depth-grids-of-the-flood-inundation-maps-for-the-patoka-river-in-and-near-jasper-southwest

Depth grids of the flood-inundation maps for the Patoka River in and near Jasper, southwestern Indiana

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55Available download formats
Dataset updated
Aug 8, 2024
Dataset authored and provided by
Department of the Interior
Area covered
Southwestern Indiana, Patoka River, Indiana
Description

Digital flood-inundation maps for a 9.5-mile reach of the Patoka River in and near the city of Jasper, southwestern Indiana, from the streamgage near County Road North 175 East, downstream to State Road 162, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage Patoka River at Jasper, Indiana (station number 03375500). The Patoka streamgage is located at the upstream end of the 9.5 mile river reach. Near-real-time stages at this streamgage may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, although flood forecasts or the stages for action and minor, moderate, and major flood stages are not currently (2017) available at this site (JPRI3). Flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The hydraulic model was calibrated by using the most current stage-discharge relation at the Patoka River at Jasper, Ind., streamgage and the documented high-water marks from the flood of April 30, 2017. The calibrated hydraulic model was then used to compute 5 water-surface profiles for flood stages referenced to the streamgage datum and ranging from 15 feet, or near bankfull, to 19 feet. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar] data having a 0.98-foot vertical accuracy and 4.9-foot horizontal resolution) to delineate the area flooded at each water level.

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