What's Your Station Detecting? Share Your Results!
One of the best parts of BirdNET-Cloud is discovering what wildlife is active around your station—and seeing what everyone else is hearing around the world!
Whether you're monitoring your backyard, a local park, a nature preserve, or a research site, we'd love to see what your station is detecting.
Tell Us About Your Station
Start a new reply and share a little information about your setup:
- 📍 Your location (city, state/province, or country)
- 🎤 Your microphone (AudioMoth USB Microphone, etc.)
- 🖥️ Raspberry Pi model
- 🌳 The habitat (backyard, forest, wetland, farm, coastal, mountains, etc.)
- đź“… How long your station has been running
Share Your Favorite Detections
Have you captured something exciting?
Maybe your station has recorded:
- A rare bird in your area
- Your first spring migrant
- An unexpected nocturnal visitor
- A species you've never seen before
- A large migration event
- An impressive daily species count
Post screenshots, species lists, charts, or anything else you'd like to share!
Every Station Tells a Story
No two BirdNET-Cloud stations are alike.
Some may detect dozens of backyard songbirds each day, while others monitor remote forests, wetlands, deserts, or wildlife reserves. Together, our stations create a fascinating picture of bird activity across different habitats, seasons, and continents.
Help Others Learn
If you've discovered a tip that improved your station's performance—such as microphone placement, reducing background noise, or optimizing your setup—share it with the community. Your experience could help someone else get even better results.
Let's Build a Global Listening Network
Every BirdNET-Cloud station contributes to a growing community of people who enjoy learning about birds and wildlife through sound. It's exciting to see how bird activity changes from one region to another and throughout the seasons.
We can't wait to see what your station is hearing. Happy listening, and don't forget to include a screenshot or two of your favorite detections!
