This dataset contains a shapefile of a digitally delineated stream network, divided into 60-meter segments, and associated attributes used to map areas of erosion and soft sediment storage within the East River watershed in Brown County, Wisconsin, and to determine a sediment and sediment-bound phosphorus (sed-P) budget for the stream corridor.

The multiple attribute mapping process as applied in this dataset provides a vector based inventory of the landscape in terms of landuse, vegetation, presence of tree regrowth, tree and shrub canopy density, presence of understorey and soil erosion condition.; It is referred to as Land Condition Mapping. Mass movement is mapped where it exists as is a selected range of weed species. These characteristics of the land are part of the larger dataset of characteristics that can be mapped using the NSW Dept. of Land and Water Conservation's full set of attribute codes. Multi Attribute Data is a vector-based inventory of the landscape comprising polygon and linear features. This system of mapping can describe a number of attributes (such as slope, terrain, landuse, vegetation community, presence of tree regrowth, soil erosion, rock outcrops, geology, Great Soil Groups, weed species and soil conservation measures) in to one polygon. The value of attribute mapping lies in the fact that the data, which objectively characterises the land, can be used for a variety of purposes and is only limited by the scale of mapping and the classification used. This translates into the availability of a range of derivative products. Mapping is typically carried out at 1:25 000 scale using topographic maps as a base. Outputs are most useful at a sub- catchment or regional scale but not generally at property level.

This streamgage boundary layers dataset consists of 512 USGS streamgage point locations and polygons delineated to show their drainage areas. The drainage areas were delineated from the streamgage points functioning as pour points, in addition to the Flow Accumulation Raster for Maine StreamStats and Flow Direction Raster for Maine StreamStats in from this data release.

This streamgage boundary layers dataset consists of 512 USGS streamgage point locations and polygons delineated to show their drainage areas. The drainage areas were delineated from the streamgage points functioning as pour points, in addition to the Flow Accumulation Raster for Maine StreamStats and Flow Direction Raster for Maine StreamStats in from this data release.

This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. The data are raster representations of various environmental, geological, and land use attributes within the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics, and estimates of flow statistics.

This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. The data are raster representations of various environmental, geological, and land use attributes within the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics, and estimates of flow statistics.

This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes with the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStats study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III and IV ecoregion codes, hydrologic regions, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evapotranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.

This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes with the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStats study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III and IV ecoregion codes, hydrologic regions, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evapotranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.

In this project we will compile a database of gullies from across Queensland as a tool for communicating the diversity of gullies that exist in the landscape, but also the sommon elements from within this diversity, where they exist. Using this database we will develop a gully classification system to ensure that there is a common language used by researchers, land holders, land managers and practioners when identifying gullies for management intervention. This will also form the basis for subsequent automated gully mapping according to gully type. We will also develop a first order decision tool to guide land managers towards the sorts of management options that may be appropriate for the gullies in question. Whilst this will not be a design guideline, it will help to ensure that the range of management options are narrowed down by managers before specialist advice is sought. A checklist of design considerations will also be developed that will ensure that managers undertake the appropriate level of design work for the required intervention. To some extent this project will document and formalise the knowledge and decision making processes that are currently undertaken by the specialst technical advisory team to the Reef Trust Programme.