The City of Raleigh partnered with the U.S. Geological Survey (USGS) to assist in assessing streambank erosion hotspots along the City of Raleigh’s stream network to support the City’s efforts of prioritizing future stream mitigation projects. Streambank erosion potential will be assessed using remotely sensed light detection and ranging (lidar) data, field assessments of streambank conditions, and other geospatial data.
Problem:
Sediment is a natural component to healthy stream ecosystem functions, but excess fine sediment can negatively impact aquatic ecosystems. Excess sediment can result in infilling of downstream reservoirs, such as Shelley Lake in Raleigh, NC.
Sediment eroded from streambanks is often the dominant source of sediment loads in streams in the suburban Piedmont. However, streambank erosion is highly variable in space and time. Current approaches used to locate eroding streambanks, such as stream walks or citizen complaints, are time consuming and can provide inconsistent information about site conditions. New tools are needed to remotely identify streambank erosion hotspots.

Study Objectives:
- Develop geospatial datasets that can be used as a proxy to map potential streambank erosion hotspots.
- Conduct field assessment of streambank erosion potential at select stream reaches throughout the City of Raleigh.
- Predict streambank erosion potential using geospatial and field datasets.
Study Area:
All streams in the City of Raleigh’s planning jurisdiction will be included in this study. If possible, the area will be extended to include other streams in the Crabtree Creek, Walnut Creek, Perry Creek, and Mango Creek watersheds.
Approach:
Lidar derived digital elevation models (DEMs) will be used to generate two proxies for bank erosion hotspots 1) landscape openness and 2) DEM of difference. Field surveys will be conducted throughout the study area to assess stream stability using the Bank Erosion Hazard Index and Near Bank Stress. Modeling will combine remotely sensed data, field surveys, and other geospatial datasets to predict streambank erosion severity across the study area. Predictions will be aggregated and joined to the City of Raleigh’s channel inventory to provide an assessment of streambank erosion potential for each channel.
Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina
Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022
Below are partners associated with this project.
- Overview
The City of Raleigh partnered with the U.S. Geological Survey (USGS) to assist in assessing streambank erosion hotspots along the City of Raleigh’s stream network to support the City’s efforts of prioritizing future stream mitigation projects. Streambank erosion potential will be assessed using remotely sensed light detection and ranging (lidar) data, field assessments of streambank conditions, and other geospatial data.
Simms Branch, Durant Nature Preserve, Raleigh, NC Problem:
Sediment is a natural component to healthy stream ecosystem functions, but excess fine sediment can negatively impact aquatic ecosystems. Excess sediment can result in infilling of downstream reservoirs, such as Shelley Lake in Raleigh, NC.
Sediment eroded from streambanks is often the dominant source of sediment loads in streams in the suburban Piedmont. However, streambank erosion is highly variable in space and time. Current approaches used to locate eroding streambanks, such as stream walks or citizen complaints, are time consuming and can provide inconsistent information about site conditions. New tools are needed to remotely identify streambank erosion hotspots.
Sources/Usage: Some content may have restrictions. Visit Media to see details.Google Earth images of Shelley Lake, Raleigh, NC Study Objectives:
- Develop geospatial datasets that can be used as a proxy to map potential streambank erosion hotspots.
- Conduct field assessment of streambank erosion potential at select stream reaches throughout the City of Raleigh.
- Predict streambank erosion potential using geospatial and field datasets.
Study Area:
All streams in the City of Raleigh’s planning jurisdiction will be included in this study. If possible, the area will be extended to include other streams in the Crabtree Creek, Walnut Creek, Perry Creek, and Mango Creek watersheds.
Raleigh Erosion Study Area Map Approach:
Lidar derived digital elevation models (DEMs) will be used to generate two proxies for bank erosion hotspots 1) landscape openness and 2) DEM of difference. Field surveys will be conducted throughout the study area to assess stream stability using the Bank Erosion Hazard Index and Near Bank Stress. Modeling will combine remotely sensed data, field surveys, and other geospatial datasets to predict streambank erosion severity across the study area. Predictions will be aggregated and joined to the City of Raleigh’s channel inventory to provide an assessment of streambank erosion potential for each channel.
- Data
Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina
As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geoDatasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022
As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion - Partners
Below are partners associated with this project.