Birds at the dock

October 7, 2026: 30 species identified by BirdNET listening to the dock microphone. American Crow was the most active with 1h 35m 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 7:38 AMSUNSET ☾ 7:13 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

American Crow
1h 35m active
American Crow
Red-bellied Woodpecker
1h 29m active
Red-bellied Woodpecker
Carolina Wren
1h 21m active
Carolina Wren
Blue Jay
1h 6m active
Blue Jay
Red-headed Woodpecker
1h 2m active
Red-headed Woodpecker
Northern Cardinal
1h 1m active
Northern Cardinal
Tufted Titmouse
44 minutes active
Tufted Titmouse
Brown Thrasher
41 minutes active
Brown Thrasher
House Finch
39 minutes active
House Finch
Carolina Chickadee
36 minutes active
Carolina Chickadee
Belted Kingfisher
33 minutes active
Belted Kingfisher
Northern Mockingbird
25 minutes active
Northern Mockingbird
Common Grackle
21 minutes active
Common Grackle
Northern Flicker
19 minutes active
Northern Flicker
Eastern Phoebe
19 minutes active
Eastern Phoebe
Fish Crow
18 minutes active
Fish Crow
Canada Goose
16 minutes active
Canada Goose
Hairy Woodpecker
15 minutes active
Hairy Woodpecker
Cedar Waxwing
12 minutes active
Cedar Waxwing
Downy Woodpecker
12 minutes active
Downy Woodpecker
Pileated Woodpecker
12 minutes active
Pileated Woodpecker
Common Starling
11 minutes active
Common Starling
Eastern Bluebird
9 minutes active
Eastern Bluebird
Great Blue Heron
7 minutes active
Great Blue Heron
White-breasted Nuthatch
4 minutes active
White-breasted Nuthatch
Mallard
3 minutes active
Mallard
Gadwall
3 minutes active
Gadwall
Red-tailed Hawk
2 minutes active
Red-tailed Hawk
Red-shouldered Hawk
2 minutes active
Red-shouldered Hawk
Dunlin
2 minutes active
Dunlin

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.