Birds at the dock

September 9, 2026: 29 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird was the most active with 2h 32m 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 7:16 AMSUNSET ☾ 7:54 PM01225375012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
2h 32m active
Ruby-throated Hummingbird
Northern Cardinal
1h 38m active
Northern Cardinal
Carolina Wren
1h 34m active
Carolina Wren
American Crow
1h 18m active
American Crow
Red-headed Woodpecker
1h 7m active
Red-headed Woodpecker
Carolina Chickadee
1h 1m active
Carolina Chickadee
Cedar Waxwing
48 minutes active
Cedar Waxwing
Blue Jay
43 minutes active
Blue Jay
Tufted Titmouse
38 minutes active
Tufted Titmouse
Eastern Bluebird
29 minutes active
Eastern Bluebird
Eastern Wood-Pewee
21 minutes active
Eastern Wood-Pewee
Red-bellied Woodpecker
20 minutes active
Red-bellied Woodpecker
American Goldfinch
17 minutes active
American Goldfinch
White-breasted Nuthatch
16 minutes active
White-breasted Nuthatch
Belted Kingfisher
15 minutes active
Belted Kingfisher
Fish Crow
11 minutes active
Fish Crow
Great Blue Heron
6 minutes active
Great Blue Heron
Osprey
6 minutes active
Osprey
House Finch
5 minutes active
House Finch
Eastern Phoebe
5 minutes active
Eastern Phoebe
Common Grackle
4 minutes active
Common Grackle
White-eyed Vireo
4 minutes active
White-eyed Vireo
Chimney Swift
3 minutes active
Chimney Swift
Ruby-crowned Kinglet
3 minutes active
Ruby-crowned Kinglet
Brown Thrasher
3 minutes active
Brown Thrasher
Downy Woodpecker
2 minutes active
Downy Woodpecker
Wild Turkey
2 minutes active
Wild Turkey
Black-crowned Night Heron
2 minutes active
Black-crowned Night Heron
Common Starling
2 minutes active
Common Starling

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.