21 000 birds in 4.5 h: efficient large‐scale seabird detection with machine learning

When you can't see the koalas for the trees: Using drones and machine learning in complex environments

(2020) Grant Hamilton et al.   BIOLOGICAL CONSERVATION

Automated Bird Counting with Deep Learning for Regional Bird Distribution Mapping

(2020) Hüseyin Gökhan Akçay et al.   Animals

Applications of digital imaging and analysis in seabird monitoring and research

(2020) Alice J. Edney et al.   IBIS

AIDE: Accelerating Image‐Based Ecological Surveys with Interactive Machine Learning

(2020) Benjamin Kellenberger et al.   Methods in Ecology and Evolution

Diet and Foraging Range of Slender-Billed Gulls Chroicocephalus genei Breeding in the Saloum Delta, Senegal

(2019) Jan Veen et al.   ARDEA

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery

(2019) Suk-Ju Hong et al.   SENSORS

Improving the precision and accuracy of animal population estimates with aerial image object detection

(2019) Jasper A. J. Eikelboom et al.   Methods in Ecology and Evolution

Selecting Piscivorous Bird Species for Monitoring Environmental Change in the Banc d'Arguin, Mauritania

(2018) Jan Veen et al.   ARDEA

Decision Fusion With Multiple Spatial Supports by Conditional Random Fields

(2018) Devis Tuia et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

(2018) Benjamin Kellenberger et al.   REMOTE SENSING OF ENVIRONMENT

Multi-modal survey of Adélie penguin mega-colonies reveals the Danger Islands as a seabird hotspot

(2018) Alex Borowicz et al.   Scientific Reports

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

(2017) Michele Volpi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Precision wildlife monitoring using unmanned aerial vehicles

(2016) Jarrod C. Hodgson et al.   Scientific Reports

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Are unmanned aircraft systems (UASs) the future of wildlife monitoring? A review of accomplishments and challenges

(2015) Julie Linchant et al.   MAMMAL REVIEW

Deep learning

(2015) Yann LeCun et al.   NATURE

An Overview and Comparison of Smooth Labeling Methods for Land-Cover Classification

(2012) Konrad Schindler   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Biodiversity loss and its impact on humanity

(2012) Bradley J. Cardinale et al.   NATURE

Global Biodiversity: Indicators of Recent Declines

(2010) S. H. M. Butchart et al.   SCIENCE

A review of the use of seabirds as indicators in fisheries and ecosystem management

(2008) L.D. Einoder   FISHERIES RESEARCH

Seabirds as indicators of the marine environment

(2008) M. Parsons et al.   ICES JOURNAL OF MARINE SCIENCE