Birds at the dock

September 21, 2026: 30 species identified by BirdNET listening to the dock microphone. Red-headed Woodpecker was the most active with 2h 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 7:25 AMSUNSET ☾ 7:36 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Red-headed Woodpecker
2h 35m active
Red-headed Woodpecker
Carolina Wren
1h 58m active
Carolina Wren
Blue Jay
1h 44m active
Blue Jay
Northern Cardinal
1h 37m active
Northern Cardinal
Carolina Chickadee
1h 6m active
Carolina Chickadee
Cedar Waxwing
1h 3m active
Cedar Waxwing
Red-bellied Woodpecker
56 minutes active
Red-bellied Woodpecker
Ruby-throated Hummingbird
53 minutes active
Ruby-throated Hummingbird
Eastern Wood-Pewee
48 minutes active
Eastern Wood-Pewee
American Crow
42 minutes active
American Crow
Northern Flicker
42 minutes active
Northern Flicker
Northern Mockingbird
40 minutes active
Northern Mockingbird
Tufted Titmouse
38 minutes active
Tufted Titmouse
White-breasted Nuthatch
25 minutes active
White-breasted Nuthatch
Brown Thrasher
23 minutes active
Brown Thrasher
Eastern Bluebird
21 minutes active
Eastern Bluebird
House Finch
19 minutes active
House Finch
Summer Tanager
16 minutes active
Summer Tanager
Pileated Woodpecker
10 minutes active
Pileated Woodpecker
Downy Woodpecker
10 minutes active
Downy Woodpecker
Fish Crow
7 minutes active
Fish Crow
Belted Kingfisher
6 minutes active
Belted Kingfisher
Red-tailed Hawk
6 minutes active
Red-tailed Hawk
Common Starling
6 minutes active
Common Starling
American Goldfinch
3 minutes active
American Goldfinch
Eastern Phoebe
3 minutes active
Eastern Phoebe
Red-shouldered Hawk
3 minutes active
Red-shouldered Hawk
Gadwall
3 minutes active
Gadwall
Killdeer
2 minutes active
Killdeer
Common Grackle
2 minutes active
Common Grackle

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.