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These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
These data were compiled to perform analyses of hydrologic change, changes in sediment transport, and channel change within Moenkopi Wash, Arizona. Objective(s) of our study were to quantify the magnitude and timing of changes in hydrology, sediment transport, and channel form within Moenkopi Wash and to determine the downstream effects of those changes on sediment delivery downstream to the Little Colorado River, and the Colorado River. These data represent instantaneous discharge records, suspended-sediment sample records, topographic survey data, historical aerial imagery, and channel polygons and centerlines mapped on the historical imagery. Instantaneous discharge records in this study began in 1926 and extend...
These data were compiled to evaluate impacts of different reservoir management scenarios on sand exposure for aeolian landscape and cultural site resources. Objective of our study was to predict areas of dry, bare Colorado River sand as a function of different management alternative scenarios. These data represent predictions of dry, bare sand for the reach of the Colorado River between Glen Canyon Dam and Bright Angel Creek in Grand Canyon National Park. These data were created during 2023 by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to understand how the area of sand available for windblown transport might be impacted different...
These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
This dataset describes field-measured qualitative stream channel characteristics indicative of incision and remotely-measured predictions of channel incision from lidar in three headwater streams in the Piedmont physiographic region of Maryland. The files within the field-measured channel incision folder include 1) a point file of original survey locations with a description of channel characteristics and 2) a stream network file with the field-surveyed degree of channel incision classified by stream reach. The file within the model-predicted channel incision folder includes stream networks for each watershed, and the incision prediction from lidar for the years 2002, 2008, 2013, and 2018.
Climate change and the extreme weather associated with it can be a major challenge to landowners and land managers interested in the protection, restoration, recovery, and management of wetlands and wildlife habitats. The Midwest is not only experiencing an increase in average temperatures and precipitation, but also an increase in the frequency of extreme events, such as heat waves and floods. Forecasting the potential impacts of the changes over the next 25 to 50 years will be important for decision makers and landowners seeking to minimize the impacts to infrastructure and to the habitats themselves and prepare for the future. Changes in flood frequency threaten habitat management infrastructure and actions,...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2018,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
This metadata record documents a single comma delimited table that contains information on the elemental composition and particle size distribution of sediments within Jones Falls watershed in Baltimore, Maryland.
This USGS data release presents Model Archive Summaries (MAS) and tabular calibration data used to develop surrogate regressions to estimate fine sediment particles flowing into Lake Tahoe. Fine sediment particles in the size range of 0.5 to 16.0 micrometers (μm) represent the primary size range of suspended sediment responsible for clarity reduction in Lake Tahoe. Models will be used to create estimates of tributary fine sediment particles flowing into Lake Tahoe and to better understand the linkage of annual sediment loads and lake clarity. Surrogate regression models were developed for site-specific monitoring locations within the Lake Tahoe Interagency Monitoring Program (LTIMP) and archived individually as...
These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation...
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