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 3h 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 7:16 AMSUNSET ☾ 7:54 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
3h 44m active
Ruby-throated Hummingbird
Northern Cardinal
2h 6m active
Northern Cardinal
Carolina Wren
1h 59m active
Carolina Wren
Red-headed Woodpecker
1h 57m active
Red-headed Woodpecker
American Crow
1h 48m active
American Crow
Carolina Chickadee
1h 13m active
Carolina Chickadee
Cedar Waxwing
1h 2m 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
Eastern Phoebe
5 minutes active
Eastern Phoebe
House Finch
5 minutes active
House Finch
White-eyed Vireo
4 minutes active
White-eyed Vireo
Common Grackle
4 minutes active
Common Grackle
Brown Thrasher
3 minutes active
Brown Thrasher
Ruby-crowned Kinglet
3 minutes active
Ruby-crowned Kinglet
Chimney Swift
3 minutes active
Chimney Swift
Black-crowned Night Heron
2 minutes active
Black-crowned Night Heron
Downy Woodpecker
2 minutes active
Downy Woodpecker
Common Starling
2 minutes active
Common Starling
Wild Turkey
2 minutes active
Wild Turkey

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.