Leglaive, S.
* 2019: Audio-Noise Power Spectral Density Estimation Using Long Short-Term Memory
Legleiter, C.[Carl]
* 2021: Depths Inferred from Velocities Estimated by Remote Sensing: A Flow Resistance Equation-Based Approach to Mapping Multiple River Attributes at the Reach Scale
Legleiter, C.J.[Carl J.]
* 2015: Performance Assessment of High Resolution Airborne Full Waveform LiDAR for Shallow River Bathymetry
* 2016: Fusion of LiDAR Orthowaveforms and Hyperspectral Imagery for Shallow River Bathymetry and Turbidity Estimation
* 2018: Sampling Strategies to Improve Passive Optical Remote Sensing of River Bathymetry
* 2019: Defining the Limits of Spectrally Based Bathymetric Mapping on a Large River
* 2019: Experimental Evaluation of the Feasibility of Inferring Concentrations of a Visible Tracer Dye from Remotely Sensed Data in Turbid Rivers, An
* 2019: sUAS-Based Remote Sensing of River Discharge Using Thermal Particle Image Velocimetry and Bathymetric Lidar
* 2020: Editorial for the Special Issue Remote Sensing of Flow Velocity, Channel Bathymetry, and River Discharge
* 2020: Inferring Surface Flow Velocities in Sediment-Laden Alaskan Rivers from Optical Image Sequences Acquired from a Helicopter
* 2022: Mapping Benthic Algae and Cyanobacteria in River Channels from Aerial Photographs and Satellite Images: A Proof-of-Concept Investigation on the Buffalo National River, AR, USA
9 for Legleiter, C.J.
Legler, S.E.[Sara Elisabetta]
* 2022: LDD: A Grape Diseases Dataset Detection and Instance Segmentation