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High-Resolution Hydrographic Mapping on a portion of the Big Sioux River Basin in Southeast South Dakota, 2016
A High-Resolution Hydrographic Mapping effort was completed for thirteen 12-digit hydrologic units in the Big Sioux River Basin near Sioux Falls in southeastern South Dakota. A digital elevation model based on light detection and ranging (lidar) data was prepared from four sources. Known culverts were hydro-enforced into the elevation model, and selective drainage techniques were utilized within geographic information systems software to identify additional locations where bridges or culverts needed to be hydro-enforced. These potential locations were given a preliminary screening using aerial imagery, and likely locations were further screened using high-resolution oblique aerial imagery or with site visits. Locations with confirmed culverts were also hydro-enforced. The raw and hydro-enforced elevation models were used to generate flow derivative layers. The elevation models, flow derivative layers, and culvert layer are included as geospatial data layers within this data release. This study was completed by the U.S. Geological Survey, Dakota Water Science Center in cooperation with the City of Sioux Falls, the City of Harrisburg, Lincoln County, the South Dakota Department of Transportation, East Dakota Water Development District, and the Mid-America GIS Consortium.
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High-Resolution Hydrographic Mapping on a portion of the Big Sioux River Basin in Southeast South Dakota, 2016
공공데이터포털
A High-Resolution Hydrographic Mapping effort was completed for thirteen 12-digit hydrologic units in the Big Sioux River Basin near Sioux Falls in southeastern South Dakota. A digital elevation model based on light detection and ranging (lidar) data was prepared from four sources. Known culverts were hydro-enforced into the elevation model, and selective drainage techniques were utilized within geographic information systems software to identify additional locations where bridges or culverts needed to be hydro-enforced. These potential locations were given a preliminary screening using aerial imagery, and likely locations were further screened using high-resolution oblique aerial imagery or with site visits. Locations with confirmed culverts were also hydro-enforced. The raw and hydro-enforced elevation models were used to generate flow derivative layers. The elevation models, flow derivative layers, and culvert layer are included as geospatial data layers within this data release. This study was completed by the U.S. Geological Survey, Dakota Water Science Center in cooperation with the City of Sioux Falls, the City of Harrisburg, Lincoln County, the South Dakota Department of Transportation, East Dakota Water Development District, and the Mid-America GIS Consortium.
Geospatial dataset of hydrologic characteristics of the Big Sioux aquifer near Sioux Falls, South Dakota
공공데이터포털
The city of Sioux Falls, in southeastern South Dakota, is the largest city in South Dakota. The U.S. Geological Survey (USGS), in cooperation with the city of Sioux Falls, completed a groundwater-flow model to use for improving the understanding of groundwater-flow processes, estimating hydrogeologic properties, and analyzing groundwater and surface-water interactions for the Big Sioux aquifer in the model area. The model area includes the Big Sioux aquifer and the underlying hydrogeologic units from Dell Rapids, South Dakota, to the confluence of the Big Sioux River and the outlet of the Sioux Falls Diversion Channel in eastern Sioux Falls, South Dakota. The Big Sioux aquifer is the primary aquifer in the model area and the focus of the groundwater-flow model. The data provided in this feature were estimated from model results or from soil data from the U.S. Department of Agriculture Natural Resources Conservation Service and discretized to the same size as the cells used in the groundwater-flow model (200 feet by 200 feet).The cells in the feature match the model cells in size and location.
National Hydrography Dataset High Resolution flowlines with name of the nearest downstream named feature for unnamed streams in and around Montana
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The National Hydrography Dataset (NHD) High Resolution flowlines were used as a base to provide additional information on the connectivity of the stream network for the hydrographic basins in and around Montana. In addition to the attributes that are published as part of the NHD data, two fields were added to the attribute table to associate streams that do not have a Geographic Names Information System (GNIS) name with the GNIS name and NHD reachcode of the nearest downstream named flowline. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data were originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. This dataset is NHD Model version 2.2.1. For more information on the NHD High Resolution dataset, see Model Diagram at: http://ftp.geoinfo.msl.mt.gov/Data/Spatial/MSDI/Hydrography.
National Hydrography Dataset High Resolution flowlines with name of the nearest downstream named feature for unnamed streams in and around Montana
공공데이터포털
The National Hydrography Dataset (NHD) High Resolution flowlines were used as a base to provide additional information on the connectivity of the stream network for the hydrographic basins in and around Montana. In addition to the attributes that are published as part of the NHD data, two fields were added to the attribute table to associate streams that do not have a Geographic Names Information System (GNIS) name with the GNIS name and NHD reachcode of the nearest downstream named flowline. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data were originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. This dataset is NHD Model version 2.2.1. For more information on the NHD High Resolution dataset, see Model Diagram at: http://ftp.geoinfo.msl.mt.gov/Data/Spatial/MSDI/Hydrography.
Hydrographic Surveys of the Missouri River at Kansas chute, 2011-13
공공데이터포털
An Innerspace 456 single-beam echosounder in conjunction with a Trimble® differential Global Positioning System (DGPS), HYPACK® navigation software, and Ashtech Z-Xtreme and Trimble® R8 Global Navigation Satellite System (GNSS) receivers was used to survey 7 chutes and 3 backwaters on the Missouri River yearly from 2011-13. These chutes and backwaters are located on the Missouri River between Newcastle, Nebraska and Rulo, Nebraska in the States of Nebraska, Iowa, and Missouri. Surveys of chutes consisted of topographic and bathymetric data collected along transects spaced 30.48 m apart from high bank to high bank. Surveys of backwaters consisted of topographic and bathymetric data collected along a transect grid of 76.2 m spacing. The data were collected by the U.S. Geological Survey in cooperation with the U.S. Army Corps of Engineers (USACE) Omaha District as part of the Missouri River Habitat Assessment and Monitoring Program.
Drainage areas for selected stream-sampling stations, Missouri River Basin
공공데이터포털
As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.
Drainage areas for selected stream-sampling stations, Missouri River Basin
공공데이터포털
As part of the U.S. Geological Survey's (USGS) National Water-Quality Assessment Program (NAWQA), an investigation of the Missouri River Basin is being conducted to document trends in surface-water quality, specifically for trends in nutrients and suspended sediment. Surface-water samples were collected from streams at specific sampling stations. Water-quality characteristics at each station are influenced by the natural and cultural characteristics of the drainage area upstream from the sampling station. Efficient quantification of the drainage area characteristics requires a digital map of the drainage area boundary that may be processed, together with other digital thematic maps (such as geology or land use), in a geographic information system (GIS). Digital drainage-area boundary data for one stream-sampling station in the Missouri River Basin (MRB4) study area is included in this data release. The drainage divides were identified chiefly using 1:24,000-scale hypsography.
Data release for the potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States
공공데이터포털
Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat. We used the monthly Global Surface Water (GSW) Landsat product as well as surface water derived from Landsat imagery using a matched filtering algorithm (MF Landsat) to help consider how including partially inundated Landsat pixels as water influenced our findings. The PSHR outputs (and MF Landsat) were able to identify ~60-90% more surface water interactions between waterbodies, relative to the GSW Landsat product. However, regardless of Landsat source, by documenting many smaller (<0.2 ha), inundated wetlands, the PSHR outputs modified our interpretation of wetland size distribution across the Prairie Pothole Region.
Data release for the potential role of very high-resolution imagery to characterise lake, wetland and stream systems across the Prairie Pothole Region, United States
공공데이터포털
Aquatic features critical to watershed hydrology range widely in size from narrow, shallow streams to large, deep lakes. In this study we evaluated wetland, lake, and river systems across the Prairie Pothole Region to explore where pan-sharpened high-resolution (PSHR) imagery, relative to Landsat imagery, could provide additional data on surface water distribution and movement, missed by Landsat. We used the monthly Global Surface Water (GSW) Landsat product as well as surface water derived from Landsat imagery using a matched filtering algorithm (MF Landsat) to help consider how including partially inundated Landsat pixels as water influenced our findings. The PSHR outputs (and MF Landsat) were able to identify ~60-90% more surface water interactions between waterbodies, relative to the GSW Landsat product. However, regardless of Landsat source, by documenting many smaller (<0.2 ha), inundated wetlands, the PSHR outputs modified our interpretation of wetland size distribution across the Prairie Pothole Region.