Results 221 to 230 of about 117,700 (279)

DuckNet: an open‐source deep learning tool for waterfowl species identification in UAV imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Using drones with thermal‐RGB sensors and a deep learning model (RetinaNet with ResNet‐50), we surveyed non‐breeding waterfowl across restored wetlands in the Mississippi Alluvial Valley. Our model, DuckNet, achieved high accuracy and offers an open‐source, customizable tool for automated waterfowl detection to support conservation monitoring ...
Zack Loken   +4 more
wiley   +1 more source

GPS tracking of free-roaming dogs and human spillover risk of <i>Echinococcus granulosus</i> in highly endemic Peru. [PDF]

open access: yesFront Vet Sci
Morucci K   +7 more
europepmc   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard   +9 more
wiley   +1 more source

Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd   +2 more
wiley   +1 more source

Ground‐truthing of satellite imagery to assess seabird colony size: A test using Adélie penguins

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Adélie penguin colony size can be estimated from space using very high‐resolution (VHR; 0.3–0.6 m resolution) satellite imagery due to the contrast between their guano stain and the surrounding terrain. Our study assessed the utility of VHR imagery for making indirect assessments of changes in colony size.
Alexandra J. Strang   +9 more
wiley   +1 more source

Gold Nanoparticles SERS in the Nephritis Diagnosis in Lupus Patients from Urine. [PDF]

open access: yesACS Omega
Espinosa AC   +15 more
europepmc   +1 more source

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