National-scale real-time biodiversity monitoring
The Sound of Norway project monitors ecosystems across the nation with real- time recording devices. Using machine learning to automatically classify bird vocalisations, we can simultaneously track the distribution and migration patterns of many species on vast scales and over long time-periods.
We use AI to automatically identify birds vocalisations. Combined with expert verification, we can reliably track species distributions and dynamics in real time across Norway.
Great Spotted WoodpeckerBergen 120718
Eurasian WrenBergen 120718
Eurasian BullfinchTrondheim 161106
Common ChaffinchBergen 121812
Gray HeronTofte III
White WagtailSeminat 17
European RobinBergen 120718
Eurasian Blue TitStavanger 110203*
Eurasian Blue TitBergen 121812
Showing 9 of over 1000 matching detections.
Exploring Norway's Natural Soundscapes
Our monitoring sites are spread from the southernmost tip of Norway to deep inside the Arctic Circle.
We are a team of scientists based at the Norwegian Institute for Nature Research (NINA) and the University of Cambridge
In addition to detecting birds, we aim to use the The Sound of Norway data to:
Detect other audible species
By creating machine learning models which detect frog croaks, deer barks, cricket chirps, and more we will see a more complete picture of biodiversity at our sites
Record Ultrasonic Frequencies
We are developing devices which can stream real-time ultrasonic data which will allow us to record inaudible sounds from bats and insects.
Looking at high level features of soundscapes will allow us to measure ecosystem health more holistically.