Birds at the dock

October 7, 2026: 30 species identified by BirdNET listening to the dock microphone. American Crow was the most active with 2h 27m 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
2h 27m active
American Crow
Red-bellied Woodpecker
1h 34m active
Red-bellied Woodpecker
Carolina Wren
1h 31m active
Carolina Wren
Blue Jay
1h 15m active
Blue Jay
Red-headed Woodpecker
1h 10m active
Red-headed Woodpecker
Northern Cardinal
1h 8m active
Northern Cardinal
Belted Kingfisher
49 minutes active
Belted Kingfisher
Tufted Titmouse
44 minutes active
Tufted Titmouse
Brown Thrasher
42 minutes active
Brown Thrasher
House Finch
42 minutes active
House Finch
Carolina Chickadee
39 minutes active
Carolina Chickadee
Hairy Woodpecker
31 minutes active
Hairy Woodpecker
Northern Mockingbird
25 minutes active
Northern Mockingbird
Eastern Phoebe
24 minutes active
Eastern Phoebe
Common Grackle
21 minutes active
Common Grackle
Northern Flicker
19 minutes active
Northern Flicker
Fish Crow
18 minutes active
Fish Crow
Canada Goose
16 minutes active
Canada Goose
Pileated Woodpecker
12 minutes active
Pileated Woodpecker
Downy Woodpecker
12 minutes active
Downy Woodpecker
Cedar Waxwing
12 minutes active
Cedar Waxwing
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
Gadwall
3 minutes active
Gadwall
Mallard
3 minutes active
Mallard
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.