Katharine Kolb
Katharine Kolb is a Geographer at the South Atlantic Water Science Center.
I am interested in human impacts on the environment, both current and prehistoric. I work in the areas of GIS and social media.
Science and Products
Filter Total Items: 20
Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.
Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an
Basin Characteristic Layers for the Upper Colorado & Gunnison Rivers Pilot Project for StreamStats 2020
The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and wi
Basin Characteristic Rasters for Puerto Rico StreamStats, 2021
In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use
Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020)
Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in coop
Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017
This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-fl
Basin Characteristics Rasters for Pennsylvania StreamStats 2020
In cooperation with the Federal Emergency Management Agency, the Pennsylvania Department of Transportation, the Pennsylvania Department of Environmental Protection, and the Susquehanna River Basin Commission, the U.S. Geological Survey (USGS) calculated over 20 different basin characteristics as part of preparing the Pennsylvania StreamStats 2020 application. These datasets are raster representati
Stream Lines Used to Produce the South Carolina StreamStats 2018 Release
The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled fro
Science and Products
Filter Total Items: 20
Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.
Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, an
Basin Characteristic Layers for the Upper Colorado & Gunnison Rivers Pilot Project for StreamStats 2020
The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and wi
Basin Characteristic Rasters for Puerto Rico StreamStats, 2021
In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use
Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020)
Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in coop
Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017
This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-fl
Basin Characteristics Rasters for Pennsylvania StreamStats 2020
In cooperation with the Federal Emergency Management Agency, the Pennsylvania Department of Transportation, the Pennsylvania Department of Environmental Protection, and the Susquehanna River Basin Commission, the U.S. Geological Survey (USGS) calculated over 20 different basin characteristics as part of preparing the Pennsylvania StreamStats 2020 application. These datasets are raster representati
Stream Lines Used to Produce the South Carolina StreamStats 2018 Release
The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled fro