Results 151 to 160 of about 57,243 (263)

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann   +2 more
wiley   +1 more source

Using time‐series remote sensing to identify and track individual bird nests at large scales

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest   +6 more
wiley   +1 more source

Modelling forest dynamics using integral projection models and repeat lidar

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen   +9 more
wiley   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity   +8 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin   +5 more
wiley   +1 more source

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