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The Wetland Reserve Program (WRP) is a voluntary program administered by the NRCS. It provides technical and financial assistance to private landowners and Tribes to restore, protect, and enhance wetlands in exchange for retiring eligible land from agriculture. For a site to be a wetland eligible for restoration, it must be in a zone with sustained or frequent flooding for a period of 7 consecutive days on average at least once every 2 years (a value termed the 7MQ2). This study calculated the 7MQ2 flows for all the U.S. Geological Survey streamgages within the selected study reaches. These flows were related to the stage discharge tables for each streamgage and a corresponding elevation was determined. By use of...
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These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
Tags: Arizona, Botany, Cloud Optimized GeoTIFF data, Colorado River, Ecology, All tags...
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In order to allow for a comparison across years we visually digitized landcover of Poplar Island from a single image per year at a 1:1000 spatial extent with a minimum mapping unit of 300 square meters (no minimum dimensions aside from area). Images used to assign landcover were provided by the U.S. Army Corps of Engineers and were captured between July and October of their respective years. All images were 1 foot resolution.
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This dataset of the elevation of basement and thickness of sediment above the syn- and post-rift unconformity (sediments above being generally Late Cretaceous and younger) was constructed for application to site response models in earthquake hazard analyses. Sediment thickness in meters is provided in zipped csv format on a 0.01-degree grid, and sediment thickness and basement elevation in meters relative to mean sea level are provided in GeoTIFF format on a 1-km grid.
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The Mohorovicic discontinuity or 'Moho' maps the boundary between the earth's crust and mantle and is defined by an abrupt change in seismic velocity due to changes in the density of rocks between the crust and mantle. GeoTIFF grids that map depth to Moho (crustal thickness) for the United States and Canada, and for Australia are provided in this report and were used as evidential layers in developing prospectivity models for basin-hosted Pb-Zn mineralization (Lawley and others, 2022). A composite grid of Moho depths across the United States and Canada was created using data from Shen and Ritzwoller (2016) for the conterminous United States, from Zhang and others (2019) for Alaska, and from Schetselaar and Snyder...
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Several evidential layers calculated from the national-scale gravity anomaly map of Australia (Geophysical Acquisition and Processing Section, 2020) are provided here. This directory includes GeoTIFF grids of Bouguer gravity, the horizontal gradient magnitude of the Bouguer gravity, the Bouguer gravity upward continued 30 km, and the horizontal gradient magnitude of the upward continued gravity, The directory also includes shapefiles of locations that trace the maxima of the horizontal gradient magnitude of the gravity and of the maxima of the horizontal gradient magnitude of the upward continued gravity. Otherwise known as “worms”, the points tracking the maxima mark the edges of shallow density sources (in the...
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This part of DS 781 presents data for the transgressive contours of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "TransgressiveContours_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H. As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Punta Gorda and Point Arena was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012). Water depths determined from bathymetry data were added to the sediment thickness data to...
Coastal and estuarian wetlands in the Great Lakes Basin are increasingly impacted by habitat degradation, invasive species, and most recently (late 2010's), increased water levels. These wetlands act as an important buffer between the open lake and the near-shore areas, as key areas for nutrient cycling, as critical nurseries for many species of lake fish, and as habitat for numerous species of concern. Understanding how the cover and composition of these wetlands has changed over time is critical to making informed management decisions. By using both historical documents and imagery, multiple historic maps of wetland coverage were created in GIS to compare over time and to current maps and imagery of these critical...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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These datasets were developed to represent the geographic distribution of Plantago ovata in the Mojave Desert. This data release consists of two raster spatial layers (GeoTIFF) reflecting predicted habitat for the species within the Mojave Desert and the standard error in predictions. The habitat layer (raster dataset) is a continuous probability distribution of suitable habitat where values range from 0 (very low probability of species occurrence) to 1 (very high probability of species occurrence). An additional raster dataset provides the standard error in habitat predictions calculated among alternative habitat models: users should evaluate both the habitat and standard error datasets and exercise prudence when...
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These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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This data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9CIK9ZF. This data release documents the digital data used to produce flood-inundation maps for a range of gage heights (stages) for the Sabinal River near Utopia, Tex. The simulated flood-inundation maps correspond to a range in stage from 7 to 24 feet (ft) at U.S. Geological Survey (USGS) streamgage 08197970 Sabinal River at Utopia, Tex. at intervals of 0.5-ft. The maps were created for a 10-mile reach of the Sabinal River from USGS streamgage 08197936 Sabinal River below Mill Creek near Vanderpool, Tex., at the upstream boundary of the study reach, to USGS streamgage 08197970 Sabinal River at Utopia, Tex. (hereinafter...
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These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags...
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Digital flood-inundation polygon shapefiles for an 8.8-mile reach of the North Platte River, from 1.5 miles upstream of the Highway 92 bridge to 3 miles downstream of the Highway 71 bridge, were created by the U.S. Geological Survey (USGS) in cooperation with the Cities of Scottsbluff and Gering. The 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 and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Platte River at Scottsbluff, Nebr. (station 06680500). Near-real-time stages at this streamgage may be obtained on the Internet from...


map background search result map search result map Potential Wetland Extent Along Wildcat Creek Between USGS Gaging Stations 03333450 and 03334000 Shapefiles of the flood-inundation maps for the North Platte River at Scottsbluff and Gering, Nebraska Transgressive Contours--Punta Gorda to Point Arena, California Predictive soil property map: Sodium adsorption ratio Predictive soil property map: Very fine sand content Poplar Island Digitizing Habitat Data for Plantago ovata in the Mojave Desert orthorgb100mp_20200826_125106_386_63091_31996 - - through - - orthorgb100mp_20200826_131324_604_73059_32085 UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 13 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 orthorgb100mp_20200811_112204_364_46067_22881 - - through - - orthorgb100mp_20200811_112602_356_48531_22903 [Geophysical Data] Gravity and related derivative GeoTIFF grids and data for Australia [Geophysical Data] Depth to Moho GeoTIFF grids for the United States, Canada, and Australia Two-dimensional unsteady state HEC–RAS model to create flood-inundation maps for selected reaches of the Sabinal River and the West Sabinal River near Utopia, Texas, 2021 Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Atlantic and Gulf Coastal Plains Sediment Thickness (v220517) Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA Poplar Island Digitizing Vegetation and water classifications for a segment of the Paria River upstream of the Colorado River Confluence, Arizona, USA Shapefiles of the flood-inundation maps for the North Platte River at Scottsbluff and Gering, Nebraska Two-dimensional unsteady state HEC–RAS model to create flood-inundation maps for selected reaches of the Sabinal River and the West Sabinal River near Utopia, Texas, 2021 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 orthorgb100mp_20200811_112204_364_46067_22881 - - through - - orthorgb100mp_20200811_112602_356_48531_22903 UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 13 orthorgb100mp_20200826_125106_386_63091_31996 - - through - - orthorgb100mp_20200826_131324_604_73059_32085 Habitat Data for Plantago ovata in the Mojave Desert Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Predictive soil property map: Sodium adsorption ratio Predictive soil property map: Very fine sand content Atlantic and Gulf Coastal Plains Sediment Thickness (v220517) [Geophysical Data] Gravity and related derivative GeoTIFF grids and data for Australia [Geophysical Data] Depth to Moho GeoTIFF grids for the United States, Canada, and Australia