Birds at the dock

September 1, 2026: 27 species identified by BirdNET listening to the dock microphone. Carolina Wren was the most active with 2h 32m 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 7:10 AMSUNSET ☾ 8:05 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Carolina Wren
2h 32m active
Carolina Wren
Northern Cardinal
1h 35m active
Northern Cardinal
Cedar Waxwing
1h 35m active
Cedar Waxwing
American Crow
1h 21m active
American Crow
Red-headed Woodpecker
1h 16m active
Red-headed Woodpecker
Tufted Titmouse
1h 11m active
Tufted Titmouse
Ruby-throated Hummingbird
1h 2m active
Ruby-throated Hummingbird
Carolina Chickadee
60 minutes active
Carolina Chickadee
White-breasted Nuthatch
51 minutes active
White-breasted Nuthatch
House Finch
50 minutes active
House Finch
Blue Jay
38 minutes active
Blue Jay
Eastern Bluebird
23 minutes active
Eastern Bluebird
American Goldfinch
20 minutes active
American Goldfinch
Fish Crow
19 minutes active
Fish Crow
Red-bellied Woodpecker
7 minutes active
Red-bellied Woodpecker
Downy Woodpecker
7 minutes active
Downy Woodpecker
Pileated Woodpecker
6 minutes active
Pileated Woodpecker
Belted Kingfisher
6 minutes active
Belted Kingfisher
Canada Goose
6 minutes active
Canada Goose
Brown Thrasher
5 minutes active
Brown Thrasher
Eastern Phoebe
5 minutes active
Eastern Phoebe
Osprey
5 minutes active
Osprey
Eastern Wood-Pewee
5 minutes active
Eastern Wood-Pewee
Northern Mockingbird
4 minutes active
Northern Mockingbird
Yellow-billed Cuckoo
2 minutes active
Yellow-billed Cuckoo
Black-and-white Warbler
2 minutes active
Black-and-white Warbler
White-eyed Vireo
2 minutes active
White-eyed Vireo

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.