Filters: Tags: remotely sensed data (X)
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These data were compiled for analyses of sediment transport within the Chippewa River, WI. Objective(s) of our study were to determine sand loads contributed by the Chippewa River to the Mississippi River. These data include physical suspended-sediment samples, acoustical suspended-sediment measurements, acoustical suspended-sediment loads, quasi-continuous measurements of bed-elevation, multibeam sonar survey data, and longitudinal profiles of the bed-elevation at certain locations. These data were collected in the Chippewa River in 2018 and 2019. Acoustical suspended-sediment data also include data from March and April 2020. These data were collected by the USGS Grand Canyon Monitoring and Research Center and...
Land managers need better techniques to assess exotic plant invasions. We used the cross-correlation statistic, IYZ, to test for the presence of spatial cross-correlation between pair- wise combinations of soil characteristics, topographic variables, plant species richness, and cover of vascular plants in a 754 ha study site in Rocky Mountain National Park, Colorado, U.S.A. Us- ing 25 large plots (1000 m2) in five vegetation types, 8 of 12 variables showed significant spatial cross-correlation with at least one other variable, while 6 of 12 variables showed significant spatial auto-correlation. Elevation and slope showed significant spatial cross-correlation with all variables except percent cover of native and...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Environmental Monitoring and Assessment,
Geographic Information System (GIS),
invasive plant species,
multi-scale sampling,
patterns,
We integrated 250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) with land cover, biogeophysical (e.g., soils, topography) and climate data into regression-tree software (Cubist®). We integrated this data to create a time series of spatially explicit predictions of herbaceous annual vegetation cover in sagebrush ecosystems, with an emphasis on annual grasses. Annual grass cover in sagebrush ecosystems is highly variable year-to-year because it is strongly dependent on highly variable weather patterns, particularly precipitation timing and totals. Annual grass cover also reflects past disturbances and management decisions. We produced 17 consecutive...
This Science Base Community is a home for data collected by unmanned aircraft systems (UAS) or drones and from non-contact sensors on fixed-mount and near-field platforms such as bridges, for water related projects. The goal is to make it easier to publish remotely sensed hydrologic data and create a collection of remotely sensed hydrologic data sets.
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