Pages that link to "Item:Q47506"

The following pages link to Carl J Legleiter (Q47506):

Displayed 50 items.

• Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA (Q144939) ‎ (← links)
• Improving remotely sensed river bathymetry by image-averaging (Q146424) ‎ (← links)
• The optical river bathymetry toolkit (Q146507) ‎ (← links)
• Field evaluation of a compact, polarizing topo‐bathymetric lidar across a range of river conditions (Q146520) ‎ (← links)
• Near-field remote sensing of Alaskan Rivers (Q149494) ‎ (← links)
• Evaluating the sensitivity of multi-dimensional model predictions of salmon habitat to the source of remotely sensed river bathymetry (Q150341) ‎ (← links)
• Bathymetry retrieval from CubeSat image sequences with short time lags (Q150821) ‎ (← links)
• Characterizing supraglacial meltwater channel hydraulics on the Greenland Ice Sheet from in situ observations (Q151625) ‎ (← links)
• Inferring river bathymetry via Image-to-Depth Quantile Transformation (IDQT) (Q151643) ‎ (← links)
• Removing sun glint from optical remote sensing images of shallow rivers (Q152554) ‎ (← links)
• A framework for modeling connections between hydraulics, water surface roughness, and surface reflectance in open channel flows (Q156213) ‎ (← links)
• Effects of lateral confinement in natural and leveed reaches of a gravel-bed river: Snake River, Wyoming, USA (Q157449) ‎ (← links)
• Measuring channel planform change from image time series: A generalizable, spatially distributed, probabilistic method for quantifying uncertainty (Q157469) ‎ (← links)
• Spectrally based mapping of riverbed composition (Q238191) ‎ (← links)
• Remote measurement of river discharge using thermal particle image velocimetry (PIV) and various sources of bathymetric information (Q239619) ‎ (← links)
• Mapping river bathymetry with a small footprint green LiDAR: Applications and challenges (Q244826) ‎ (← links)
• Assessing the potential for spectrally based remote sensing of salmon spawning locations (Q258139) ‎ (← links)
• A framework to facilitate development and testing of image-based river velocimetry algorithms (Q259616) ‎ (← links)
• Performance evaluation of a channel rehabilitation project on the Lower Missouri River and implications for the dispersal of larval pallid sturgeon (Q262127) ‎ (← links)
• Evaluating the potential for efficient, UAS-based reach-scale mapping of river channel bathymetry from multispectral images (Q264910) ‎ (← links)
• 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 (Q266436) ‎ (← links)
• Using remotely sensed data to estimate river characteristics including water-surface velocity and discharge (Q270746) ‎ (← links)
• Reach-scale mapping of surface flow velocities from thermal images acquired by an uncrewed aircraft system along the Sacramento River, California, USA (Q276525) ‎ (← links)
• Remote sensing of visible dye concentrations during a tracer experiment on a large, turbid river (Q276928) ‎ (← links)
• Sampling strategies to improve passive optical remote sensing of river bathymetry (Q279175) ‎ (← links)
• Capacity of two Sierra Nevada rivers for reintroduction of anadromous salmonids: Insights from a high-resolution view (Q280118) ‎ (← links)
• New methods for predicting and measuring dispersion in rivers (Q280530) ‎ (← links)
• Defining the limits of spectrally based bathymetric mapping on a large river (Q280557) ‎ (← links)
• Remote measurement of surface-water velocity using infrared videography and PIV: a proof-of-concept for Alaskan rivers (Q282014) ‎ (← links)
• An experimental evaluation of the feasibility of inferring concentrations of a visible tracer dye from remotely sensed data in turbid rivers (Q282083) ‎ (← links)
• Inferring surface flow velocities in sediment-laden Alaskan rivers from optical image sequences acquired from a helicopter (Q285685) ‎ (← links)
• A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV) (Q286629) ‎ (← links)
• Depths inferred from velocities estimated by remote sensing: A flow resistance equation-based approach to mapping multiple river attributes at the reach scale (Q287133) ‎ (← links)
• River bathymetry retrieval from Landsat-9 images based on neural networks and comparison to SuperDove and Sentinel-2 (Q288900) ‎ (← links)
• Integrating depth measurements from gaging stations with image archives for spectrally based remote sensing of river bathymetry (Q289513) ‎ (← links)
• Physical controls on salmon redd site selection in restored reaches of a regulated, gravel-bed river (Q294246) ‎ (← links)
• Remote sensing of tracer dye concentrations to support dispersion studies in river channels (Q296637) ‎ (← links)
• Surface flow velocities from space: Particle image velocimetry of satellite video of a large, sediment-laden river (Q302274) ‎ (← links)
• Remote sensing of river bathymetry: Evaluating a range of sensors, platforms, and algorithms on the upper Sacramento River, California, USA (Q303359) ‎ (← links)
• Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data (Q305232) ‎ (← links)
• The Toolbox for River Velocimetry using Images from Aircraft (TRiVIA) (Q308508) ‎ (← links)
• sUAS-based remote sensing of river discharge using thermal particle image velocimetry and bathymetric lidar (Q309938) ‎ (← links)
• Moving Aircraft River Velocimetry (MARV): Framework and proof-of-concept on the Tanana River (Q311952) ‎ (← links)
• Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (Q317854) ‎ (← links)
• Digital orthophotos and field measurements of flow velocity from the Tanana and Nenana Rivers, Alaska, from August 2021 (ver. 2.0, June 2024) (Q318631) ‎ (← links)
• Thermal imagery acquired from an Uncrewed Aerial System (UAS) and hydroacoustic measurements of flow velocity collected along the Sacramento River, California, November, 2023 (Q318772) ‎ (← links)
• Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 (Q318907) ‎ (← links)
• Hyperspectral profiles of Harmful Algal Blooms (HABs) and other algae, 2022 (Q319080) ‎ (← links)
• Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021 (Q319128) ‎ (← links)
• Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS) (Q319161) ‎ (← links)