Results 231 to 240 of about 7,242 (307)

Skin region images extracted from 3D total body photographs for lesion detection. [PDF]

open access: yesSci Data
Saha A   +19 more
europepmc   +1 more source

Grow With the Flow? Impact of Experimental Floods on Riparian Vegetation in an Alpine River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Experimental floods have been proposed as a measure to mitigate effects of river flow regulation, primarily vegetation encroachment, streambed colmation, and loss of bed and channel mobility. In this study, we investigated the short‐ and long‐term biogeomorphic effects of an experimental flood programme conducted in the Spöl River (Swiss Alps)
Marc O'Callaghan   +3 more
wiley   +1 more source

Optimization framework for efficient and robust renewable energy hub operation. [PDF]

open access: yesSci Rep
Hosseina M   +3 more
europepmc   +1 more source

Hyperspectral imaging has a limited ability to remotely sense the onset of beech bark disease

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Although hyperspectral imaging is a powerful remote sensing tool, it proved ineffective in predicting the progression of beech bark disease, except in its later stages, both at the canopy and leaf levels. While some alterations in chlorophyll, water content, and canopy structure may have influenced foliar reflectance at the canopy scale, as suggested ...
Guillaume Tougas   +3 more
wiley   +1 more source

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

Predictors of Baboon Sleep Site Selection in Gorongosa National Park. [PDF]

open access: yesAm J Biol Anthropol
Lewis-Bevan L   +3 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

UAVs unveil the role of small scale vegetation structure on wader nest survival

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
In this study, we combine high‐resolution vegetation structural metrics derived from unmanned aerial vehicle (UAV) imagery with on‐field wader nest survival monitoring. We show that the immediate vegetation height and heterogeneity within a 2‐meter buffer surrounding the clutch of the recorded ground‐nesting wader species positively influenced its ...
Miguel Silva‐Monteiro   +5 more
wiley   +1 more source

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