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Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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This bathymetric dataset provides an update to the stage-storage relation for Quail Lake (reservoir) located in the El Dorado National Forest, Calif. Bathymetric data was collected using a multibeam echo sounder to provide near-complete coverage and was merged with USGS 3DEP lidar to compute a DEM of the lake and near shore. The DEM was used to computed storage and surface area for a range of stage elevations. Results show that the spillway elevation was 6799.3 feet (NAVD88) and the crest elevation was 6802.5 feet (NAVD88). At the spillway elevation the storage was 141.74 ac-ft with a surface area of 14.20 ac. At the crest elevation the storage was 190.05 ac-ft with a surface area of 15.89 ac.
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This bathymetric dataset provides an update to the stage-storage relation for Little Rock Reservoir located in the Angeles National Forest, California. Bathymetric data was collected using a multibeam echo sounder to provide near-complete coverage and was merged with U.S. Geological Survey 3D Elevation Project lidar to compute a digital elevation model (DEM) of the reservoir and surrounding watershed. The DEM was used to computed storage and surface area for a range of stage elevations. Results show that the mean cross-spillway elevation was 3273 feet above the North American Vertical Datum 1988 (NAVD88) and the mean dam crest elevation was 3277 feet (NAVD88). At the spillway elevation the storage was 3335.8 acre-feet...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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This data release contains 3-meter gridded rasters of depth to bedrock below bathymetric surface, the thickness of unconsolidated sediment, and the volume of unconsolidated sediment within a 2.6-km reach of the Similkameen River, Okanogan County, Washington, impounded by Enloe Dam. These rasters were calculated from continuous resistivity profiles (CRP) surveyed using a SuperSting R8 8-channel resistivity meter with a CRP streamer containing a 100-m long array of 11 electrodes was towed behind a boat spaced at 10 m. After collection, the raw CRP files were georeferenced to coordinates concurrently by a global positioning system. Output files were merged and linearized. This was converted to a data file compatible...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...
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Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the results of a geospatial surface-water connectivity model in support of ecological investigations fully described in the USGS Open File Report entitled “Indicators of Ecosystem Structure and Function for the Upper Mississippi River System” (De Jager et al., in review). Briefly, we identified likely instances of floodplain submergence by comparing a daily time series of gage-derived water surface elevations to topo-bathymetric data modified to account for slopes and hydrologic routing. The resulting raster attribute table contains columns...


map background search result map search result map Floodplain Inundation Attribute Rasters: Mississippi & Illinois Rivers UMRS Floodplain Inundation Attributes - Illinois River Reach - Alton Pool UMRS Floodplain Inundation Attributes - Pool 3 UMRS Floodplain Inundation Attributes - Open River Reach - South - Section 2 UMRS Floodplain Inundation Attributes - Pool 8 UMRS Floodplain Inundation Attributes - Pool 9 UMRS Floodplain Inundation Attributes - Pool 11 UMRS Floodplain Inundation Attributes - Pool 12 UMRS Floodplain Inundation Attributes - Pool 15 UMRS Floodplain Inundation Attributes - Pool 16 UMRS Floodplain Inundation Attributes - Pool 18 UMRS Floodplain Inundation Attributes - Pool 19 UMRS Floodplain Inundation Attributes - Pool 22 UMRS Floodplain Inundation Attributes - Pool 25 UMRS Floodplain Inundation Attributes - Pool 26 Bathymetric survey and stage-storage assessment of Quail Lake, Calif., collected in 2022 Sediment Volume and Bedrock of the Similkameen River Above Enloe Dam Near Oroville, Washington Little Rock Reservoir, California, 2022 bathymetric survey and stage-storage computations Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Wetlands in the state of Arizona Bathymetric survey and stage-storage assessment of Quail Lake, Calif., collected in 2022 Sediment Volume and Bedrock of the Similkameen River Above Enloe Dam Near Oroville, Washington Little Rock Reservoir, California, 2022 bathymetric survey and stage-storage computations UMRS Floodplain Inundation Attributes - Pool 15 UMRS Floodplain Inundation Attributes - Pool 8 UMRS Floodplain Inundation Attributes - Pool 3 UMRS Floodplain Inundation Attributes - Pool 16 UMRS Floodplain Inundation Attributes - Pool 12 UMRS Floodplain Inundation Attributes - Pool 9 UMRS Floodplain Inundation Attributes - Pool 18 UMRS Floodplain Inundation Attributes - Pool 22 UMRS Floodplain Inundation Attributes - Pool 11 UMRS Floodplain Inundation Attributes - Pool 25 UMRS Floodplain Inundation Attributes - Pool 19 UMRS Floodplain Inundation Attributes - Illinois River Reach - Alton Pool UMRS Floodplain Inundation Attributes - Open River Reach - South - Section 2 UMRS Floodplain Inundation Attributes - Pool 26 Wetlands in the state of Arizona Floodplain Inundation Attribute Rasters: Mississippi & Illinois Rivers Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States