Birds at the dock

September 13, 2026: 30 species identified by BirdNET listening to the dock microphone. Carolina Wren was the most active with 2h 44m active.

Minutes active by hour

Each bar counts the 1-minute windows in which BirdNET identified a species at high confidence (its minutes active), bucketed by Eastern Time hour. The dawn chorus typically peaks between 6 and 8 a.m.

☀ SUNRISE 7:19 AMSUNSET ☾ 7:48 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Carolina Wren
2h 44m active
Carolina Wren
Ruby-throated Hummingbird
2h 32m active
Ruby-throated Hummingbird
Red-headed Woodpecker
1h 44m active
Red-headed Woodpecker
Tufted Titmouse
1h 38m active
Tufted Titmouse
Blue Jay
1h 22m active
Blue Jay
American Crow
1h 9m active
American Crow
Northern Cardinal
1h 3m active
Northern Cardinal
Carolina Chickadee
1h 1m active
Carolina Chickadee
House Finch
39 minutes active
House Finch
Cedar Waxwing
34 minutes active
Cedar Waxwing
White-breasted Nuthatch
26 minutes active
White-breasted Nuthatch
Hairy Woodpecker
22 minutes active
Hairy Woodpecker
Common Starling
18 minutes active
Common Starling
Red-bellied Woodpecker
16 minutes active
Red-bellied Woodpecker
Eastern Bluebird
15 minutes active
Eastern Bluebird
Common Grackle
13 minutes active
Common Grackle
American Goldfinch
10 minutes active
American Goldfinch
Brown Thrasher
8 minutes active
Brown Thrasher
Eastern Phoebe
5 minutes active
Eastern Phoebe
Downy Woodpecker
5 minutes active
Downy Woodpecker
Northern Mockingbird
4 minutes active
Northern Mockingbird
Red-shouldered Hawk
4 minutes active
Red-shouldered Hawk
Eastern Wood-Pewee
3 minutes active
Eastern Wood-Pewee
Belted Kingfisher
3 minutes active
Belted Kingfisher
Mallard
3 minutes active
Mallard
White-eyed Vireo
3 minutes active
White-eyed Vireo
Red-tailed Hawk
3 minutes active
Red-tailed Hawk
Northern Flicker
2 minutes active
Northern Flicker
Canada Goose
2 minutes active
Canada Goose
Ruby-crowned Kinglet
2 minutes active
Ruby-crowned Kinglet

How this works

A microphone is mounted at the dock at Tennessee River Mile 559.5, listening to the lake 24/7. Audio runs through BirdNET from the Cornell Lab of Ornithology, an open-source neural network that identifies bird species by sound. Detections at high confidence are tallied here.

Bird photos are pulled automatically from Wikipedia and cropped to the bird with YOLOv8 object detection. Individual photo credits are on each species' Wikipedia page.