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SeaSound Remote Sensing Network and Webcam
Recent Projects
If you hear something you want us to preserve, please send an email to info whalemuseum. NOAA Fisheries have collected the sound of orca crunching on fish bones. More information about this study can be found here. Here's a minute of what we heard - amazing: click to listen. With so much focus on the J16s and J17s right now, we would like to share a few clips of their calls which were recorded by Jeanne Hyde from the Lime Kiln Hydrophone:. J16s - a few calls and then echolocation calls recorded on July 24, J16s - echolocation clicks on July 21, J17s - recording on July 29,
Repositories
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects. A collection of data preparation, training and evaluation scripts for ML for orcas. Orca detection Active Learning tool. These Repository contains the necessary code for the Backend of Active Learning. Prototype for mapping sounds heard through the Orcasound hydrophone network. We use optional third-party analytics cookies to understand how you use GitHub.
The Salish Sea Hydrophone Network needs volunteers to help monitor the critical habitat of endangered Pacific Northwest killer whales by detecting orca sounds and listening for dangerous noises. The goal is to report whenever you hear something interesting, thereby notifying marine researchers and stewards when orcas are in the Salish Sea, and possibly being subjected to dangerous levels of human-made noise. Maintained by a broad coalition of non-profit organizations and initiated with major funding from the National Oceanic and Atmospheric Administration, the network consists of five hydrophones underwater microphones , each hooked up to a computer to analyze the signal and stream it to you via the internet. Even though software is used to distinguish animal from other underwater sound, human ears do a better job of detecting unusual sounds. So it's critical that volunteers also monitor the network from their favorite device anywhere in the world, and alert the rest of the network when they hear interesting or worrisome sounds.
