Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar

Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar

Abstract Studying nocturnal bird migration is challenging because direct visual observations are difficult during darkness. Radar has been the means of choice to study nocturnal bird migration for several decades, but provides limited taxonomic information. Here, to ascertain the feasibility of enha...

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Bibliographic Details
Main Authors: Silvia Giuntini, Juha Saari, Adriano Martinoli, Damiano G. Preatoni, Birgen Haest, Baptiste Schmid, Nadja Weisshaupt
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Remote Sensing in Ecology and Conservation
Subjects:
Aeroecology
bioacoustics
bird migration
bird radar
machine learning
Turdidae
Online Access:https://doi.org/10.1002/rse2.397
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