Birds at the dock

September 6, 2026: 28 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird was the most active with 2h 5m 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 7:14 AMSUNSET ☾ 7:58 PM01225375012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
2h 5m active
Ruby-throated Hummingbird
Carolina Wren
1h 43m active
Carolina Wren
Northern Cardinal
1h 16m active
Northern Cardinal
Cedar Waxwing
1h 7m active
Cedar Waxwing
Red-headed Woodpecker
1h 5m active
Red-headed Woodpecker
Tufted Titmouse
1h 3m active
Tufted Titmouse
Carolina Chickadee
49 minutes active
Carolina Chickadee
Blue Jay
36 minutes active
Blue Jay
American Crow
35 minutes active
American Crow
House Finch
34 minutes active
House Finch
Eastern Wood-Pewee
30 minutes active
Eastern Wood-Pewee
Eastern Bluebird
26 minutes active
Eastern Bluebird
White-breasted Nuthatch
20 minutes active
White-breasted Nuthatch
American Goldfinch
14 minutes active
American Goldfinch
Blue-grey Gnatcatcher
12 minutes active
Blue-grey Gnatcatcher
Fish Crow
8 minutes active
Fish Crow
Red-bellied Woodpecker
8 minutes active
Red-bellied Woodpecker
Eastern Phoebe
8 minutes active
Eastern Phoebe
Belted Kingfisher
7 minutes active
Belted Kingfisher
Black-crowned Night Heron
6 minutes active
Black-crowned Night Heron
Canada Goose
5 minutes active
Canada Goose
Downy Woodpecker
4 minutes active
Downy Woodpecker
Pileated Woodpecker
4 minutes active
Pileated Woodpecker
Great Blue Heron
3 minutes active
Great Blue Heron
Red-shouldered Hawk
3 minutes active
Red-shouldered Hawk
Northern Mockingbird
3 minutes active
Northern Mockingbird
Common Grackle
2 minutes active
Common Grackle
White-eyed Vireo
2 minutes active
White-eyed Vireo

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.