Akturk, Emre, Post, Christopher, Mikhailova, Elena AAkturk E., Post C., Mikhailova E.A.Akturk, E, Post, C, Mikhailova, EA2023-05-092023-05-092020-05-092020-06-012020.01.010167-6369https://hdl.handle.net/20.500.12597/12479Functional riparian areas protect water quality and conserve aquatic systems, plants, and wildlife. Laser-based remote sensing technology offers a high-resolution approach to both characterize and document changes in riparian buffer zones (RBZs). The objectives of this study were to demonstrate a rapid method and model to calculate riparian buffer widths on both sides of a stream using a LiDAR-derived slope variable, to classify riparian buffers and determine their quality, and to evaluate the appropriateness of using LiDAR in riparian buffer assessment. For this purpose, RBZs were delineated for Hunnicutt and King Creek, which are located in Oconee and Pickens counties, in South Carolina. Results show that LiDAR was effective in delineating required riparian buffer widths based on the topography slope of upstream areas, and in calculating the ratio of tree cover. This LiDAR-based assessment methodology could be applied to a wide-range of environments.Functional riparian areas protect water quality and conserve aquatic systems, plants, and wildlife. Laser-based remote sensing technology offers a high-resolution approach to both characterize and document changes in riparian buffer zones (RBZs). The objectives of this study were to demonstrate a rapid method and model to calculate riparian buffer widths on both sides of a stream using a LiDAR-derived slope variable, to classify riparian buffers and determine their quality, and to evaluate the appropriateness of using LiDAR in riparian buffer assessment. For this purpose, RBZs were delineated for Hunnicutt and King Creek, which are located in Oconee and Pickens counties, in South Carolina. Results show that LiDAR was effective in delineating required riparian buffer widths based on the topography slope of upstream areas, and in calculating the ratio of tree cover. This LiDAR-based assessment methodology could be applied to a wide-range of environments.falseGISLiDARRemote sensingRiparian bufferWater qualityGIS | LiDAR | Remote sensing | Riparian buffer | Water qualityModeling and monitoring riparian buffer zones using LiDAR data in South Carolina.Modeling and monitoring riparian buffer zones using LiDAR data in South CarolinaModeling and monitoring riparian buffer zones using LiDAR data in South CarolinaJournal Article10.1007/s10661-020-08301-610.1007/s10661-020-08301-62-s2.0-85084361813WOS:000533375900004323886381921573-2959