Results 141 to 150 of about 696,250 (303)

Capture-recapture analysis results for infants in Ontario from Dec 7, 2009 to Mar 31, 2015.

open access: yes, 2018
Capture-recapture analysis results for infants in Ontario from Dec 7, 2009 to Mar 31, 2015.
Kimberley Simmonds (814518)   +14 more
core   +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

mouse-recapture-v1.0.0

open access: yes, 2018
<p>R code for implementing Cormack-Jolly-Seber capture recapture model for mouse enclosure experiment described in Barrett et al.
M'Gonigle, Leithen K.   +1 more
core   +1 more source

Monitoring feral pigs (Sus scrofa): Complementarity between autonomous sensing methods increases detection probability

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Invasive alien species are a major threat for biodiversity worldwide and effective monitoring is paramount to inform management. In this study we used a multi‐season occupancy model to assess probability of detection between camera traps and passive acoustic recorders for feral pigs (Sus scrofa) during 1 year of data collection.
Marina D. A. Scarpelli   +4 more
wiley   +1 more source

Random coeffcient models for complex longitudinal data

open access: yes, 2015
Longitudinal data are common in biological research. However, real data sets vary considerably in terms of their structure and complexity and present many challenges for statistical modelling.
Kidney, Darren
core  

Simple Estimation and Test Procedures in Capture-Mark-Recapture Mixed Models

open access: yes, 2012
International audienceThe need to consider in capture-recapture models random effects besides fixed effects such as those of environmental covariates has been widely recognized over the last years.
Lebreton, Jean-Dominique   +2 more
core   +1 more source

Historical remote sensing highlights long‐term persistence of Emperor Penguin (Aptenodytes forsteri) colonies

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Remote sensing can reveal population dynamics of Antarctic penguin colonies. In this study, we analyze emperor penguin (Aptenodytes forsteri) guano stains in remote sensing imagery and discover colony presence predating known records for 18 colonies across Antarctica.
Martynas Bielinis   +3 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao   +10 more
wiley   +1 more source

Capture-recapture data Tasmanian devils, West Pencil Pine, 2006-2015

open access: yes, 2017
Capture-recapture data from individually marked Tasmanian devils (Sarcophilus harrisii) collected between July 2006 and November 2015 from a population in western Tasmania (West Pencil Pine, 41°31 S, 145°46 E).
Paul Hohenlohe (152939)   +13 more
core   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné   +8 more
wiley   +1 more source

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