Birds at the dock

August 16, 2026: 28 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird was the most active with 2h 58m active; Eastern Kingbird traveled farthest, a 8,200 mi round trip.

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 6:58 AMSUNSET ☾ 8:26 PM01225375012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
2h 58m active
Ruby-throated Hummingbird
Carolina Wren
1h 42m active
Carolina Wren
Northern Cardinal
1h 1m active
Northern Cardinal
American Crow
53 minutes active
American Crow
Red-headed Woodpecker
51 minutes active
Red-headed Woodpecker
Osprey
50 minutes active
Osprey
Cedar Waxwing
44 minutes active
Cedar Waxwing
Blue Jay
44 minutes active
Blue Jay
Tufted Titmouse
33 minutes active
Tufted Titmouse
Carolina Chickadee
33 minutes active
Carolina Chickadee
Eastern Bluebird
24 minutes active
Eastern Bluebird
American Goldfinch
22 minutes active
American Goldfinch
White-breasted Nuthatch
15 minutes active
White-breasted Nuthatch
Belted Kingfisher
13 minutes active
Belted Kingfisher
Purple Martin
12 minutes active
Purple Martin
House Finch
11 minutes active
House Finch
Northern Mockingbird
9 minutes active
Northern Mockingbird
Summer Tanager
9 minutes active
Summer Tanager
Fish Crow
8 minutes active
Fish Crow
Yellow-billed Cuckoo
7 minutes active
Yellow-billed Cuckoo
Great Blue Heron
4 minutes active
Great Blue Heron
Downy Woodpecker
4 minutes active
Downy Woodpecker
Common Grackle
4 minutes active
Common Grackle
Eastern Phoebe
4 minutes active
Eastern Phoebe
Eastern Kingbird
3 minutes active · 8,200 mi round trip
Eastern Kingbird
Red-shouldered Hawk
2 minutes active
Red-shouldered Hawk
Wild Turkey
2 minutes active
Wild Turkey
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.