Birds at the dock

September 5, 2026: 29 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird was the most active with 3h 8m 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 7:13 AMSUNSET ☾ 7:59 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
3h 8m active
Ruby-throated Hummingbird
Carolina Wren
2h 16m active
Carolina Wren
Red-headed Woodpecker
1h 46m active
Red-headed Woodpecker
Northern Cardinal
1h 11m active
Northern Cardinal
Tufted Titmouse
1h 7m active
Tufted Titmouse
American Crow
58 minutes active
American Crow
Carolina Chickadee
56 minutes active
Carolina Chickadee
Eastern Wood-Pewee
49 minutes active
Eastern Wood-Pewee
Blue Jay
37 minutes active
Blue Jay
Eastern Bluebird
33 minutes active
Eastern Bluebird
House Finch
28 minutes active
House Finch
Cedar Waxwing
21 minutes active
Cedar Waxwing
White-breasted Nuthatch
18 minutes active
White-breasted Nuthatch
Eastern Phoebe
17 minutes active
Eastern Phoebe
American Goldfinch
17 minutes active
American Goldfinch
Red-bellied Woodpecker
11 minutes active
Red-bellied Woodpecker
Belted Kingfisher
11 minutes active
Belted Kingfisher
Blue-grey Gnatcatcher
9 minutes active
Blue-grey Gnatcatcher
Fish Crow
9 minutes active
Fish Crow
Pileated Woodpecker
6 minutes active
Pileated Woodpecker
Great Blue Heron
5 minutes active
Great Blue Heron
Downy Woodpecker
5 minutes active
Downy Woodpecker
Black-crowned Night Heron
5 minutes active
Black-crowned Night Heron
Canada Goose
4 minutes active
Canada Goose
White-eyed Vireo
3 minutes active
White-eyed Vireo
Northern Flicker
3 minutes active
Northern Flicker
Yellow-billed Cuckoo
2 minutes active
Yellow-billed Cuckoo
Common Grackle
2 minutes active
Common Grackle
Mallard
2 minutes active
Mallard

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.