In honour of Halloween, why not revisit some 'spooky' RSEC papers... 🦇🦇🦇 BatNet: a deep learning-based tool for automated bat species identification from camera trap images. Krivek et al. 🦇🦇🦇 zslpublications.onlinelibrar…
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🦇🦇🦇 Drone-based thermal remote sensing provides an effective new tool for monitoring the abundance of roosting fruit bats. McCarthy et al. 🦇🦇🦇 zslpublications.onlinelibrar…

Oct 31, 2024 · 2:30 PM UTC

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🕷️🐞🐛🕸️ Real-time insect tracking and monitoring with computer vision and deep learning. Bjerge et al. 🕸️🐛🐞🕷️ zslpublications.onlinelibrar…
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🌜🌕🌙 Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical-looking radar. Giuntini et al. 🌙🌕🌜 zslpublications.onlinelibrar…

Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐lo...

This study addresses the challenge of studying nocturnal bird migration, typically hindered by limited taxonomic information from radar data. To enhance resolution, we combined acoustic recordings...

zslpublications.onlinelibrary.wiley.com
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🚀👽🌌 The role of space agencies in remotely sensed essential biodiversity variables. Paganini et al. 🌌👽🚀 zslpublications.onlinelibrar…

The role of space agencies in remotely sensed essential biodiversity variables

Outline of the overall process by which remotely sensed essential biodiversity variables should be developed and matured. The Group on Earth Observations Biodiversity Observation Network (GEO BON)...

zslpublications.onlinelibrary.wiley.com
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🦇🦇🦇 Camera traps with white flash are a minimally invasive method for long-term bat monitoring. Krivek et al. 🦇🦇🦇 zslpublications.onlinelibrar…
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🐀🐀🐀 Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem. Wraase et al. 🐀🐀🐀 zslpublications.onlinelibrar…

Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an...

We compared three machine learning-based modeling strategies, which included field- and remote-sensing data to a different extent, for predicting the distribution of a subterranean species. We used...

zslpublications.onlinelibrary.wiley.com
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🦉🦉🦉 Automated identification of avian vocalizations with deep convolutional neural networks. Ruff et al. 🦉🦉🦉 zslpublications.onlinelibrar…

Automated identification of avian vocalizations with deep convolutional neural networks

Passive acoustic monitoring is a powerful tool for wildlife conservation and research but depends on researchers’ ability to isolate signals of interest in the resulting data. We developed a data-p...

zslpublications.onlinelibrary.wiley.com
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