Birds at the dock

October 11, 2026: 30 species identified by BirdNET listening to the dock microphone. American Crow was the most active with 2h 33m 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 7:41 AMSUNSET ☾ 7:07 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

American Crow
2h 33m active
American Crow
Blue Jay
2h 1m active
Blue Jay
Carolina Wren
1h 35m active
Carolina Wren
Tufted Titmouse
1h 35m active
Tufted Titmouse
Red-headed Woodpecker
1h 23m active
Red-headed Woodpecker
Red-bellied Woodpecker
1h 17m active
Red-bellied Woodpecker
Northern Cardinal
1h 8m active
Northern Cardinal
House Finch
48 minutes active
House Finch
Northern Flicker
37 minutes active
Northern Flicker
Carolina Chickadee
30 minutes active
Carolina Chickadee
White-breasted Nuthatch
22 minutes active
White-breasted Nuthatch
Fish Crow
17 minutes active
Fish Crow
Eastern Phoebe
17 minutes active
Eastern Phoebe
Cedar Waxwing
17 minutes active
Cedar Waxwing
Northern Mockingbird
14 minutes active
Northern Mockingbird
Common Grackle
13 minutes active
Common Grackle
Eastern Bluebird
11 minutes active
Eastern Bluebird
Belted Kingfisher
11 minutes active
Belted Kingfisher
11 minutes active
Palm Warbler
Downy Woodpecker
9 minutes active
Downy Woodpecker
Canada Goose
8 minutes active
Canada Goose
Brown Thrasher
7 minutes active
Brown Thrasher
Barred Owl
5 minutes active
Barred Owl
Great Blue Heron
4 minutes active
Great Blue Heron
Common Starling
4 minutes active
Common Starling
Killdeer
3 minutes active
Killdeer
Golden-crowned Kinglet
3 minutes active
Golden-crowned Kinglet
Winter Wren
3 minutes active
Winter Wren
Red-tailed Hawk
3 minutes active
Red-tailed 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.