Birds at the dock

August 27, 2026: 28 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird 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 7:06 AMSUNSET ☾ 8:12 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
2h 35m active
Ruby-throated Hummingbird
Carolina Wren
1h 58m active
Carolina Wren
Tufted Titmouse
1h 13m active
Tufted Titmouse
House Finch
1h 8m active
House Finch
Carolina Chickadee
1h 5m active
Carolina Chickadee
Northern Cardinal
1h 4m active
Northern Cardinal
Eastern Bluebird
59 minutes active
Eastern Bluebird
Blue Jay
55 minutes active
Blue Jay
American Crow
54 minutes active
American Crow
Red-headed Woodpecker
31 minutes active
Red-headed Woodpecker
Cedar Waxwing
30 minutes active
Cedar Waxwing
American Goldfinch
30 minutes active
American Goldfinch
Mourning Dove
17 minutes active
Mourning Dove
Eastern Phoebe
15 minutes active
Eastern Phoebe
White-breasted Nuthatch
15 minutes active
White-breasted Nuthatch
Fish Crow
12 minutes active
Fish Crow
Eastern Wood-Pewee
9 minutes active
Eastern Wood-Pewee
Red-bellied Woodpecker
9 minutes active
Red-bellied Woodpecker
Blue-grey Gnatcatcher
7 minutes active
Blue-grey Gnatcatcher
Downy Woodpecker
5 minutes active
Downy Woodpecker
Red-shouldered Hawk
4 minutes active
Red-shouldered Hawk
3 minutes active
Green Heron
Black-crowned Night Heron
3 minutes active
Black-crowned Night Heron
Summer Tanager
2 minutes active
Summer Tanager
Common Grackle
2 minutes active
Common Grackle
2 minutes active
Palm Warbler
Brown Thrasher
2 minutes active
Brown Thrasher
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.