Birds at the dock

July 22, 2026: 28 species identified by BirdNET listening to the dock microphone. Eastern Kingbird was the most active with 3h 16m 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 6:38 AMSUNSET ☾ 8:50 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Eastern Kingbird
3h 16m active · 8,200 mi round trip
Eastern Kingbird
Red-headed Woodpecker
1h 39m active
Red-headed Woodpecker
American Crow
1h 24m active
American Crow
Carolina Wren
1h 17m active
Carolina Wren
Northern Cardinal
50 minutes active
Northern Cardinal
Ruby-throated Hummingbird
49 minutes active
Ruby-throated Hummingbird
Osprey
49 minutes active
Osprey
Blue Jay
49 minutes active
Blue Jay
Northern Mockingbird
37 minutes active
Northern Mockingbird
Carolina Chickadee
36 minutes active
Carolina Chickadee
Eastern Bluebird
35 minutes active
Eastern Bluebird
House Finch
18 minutes active
House Finch
White-breasted Nuthatch
18 minutes active
White-breasted Nuthatch
Tufted Titmouse
14 minutes active
Tufted Titmouse
Fish Crow
10 minutes active
Fish Crow
Cedar Waxwing
9 minutes active
Cedar Waxwing
Chipping Sparrow
7 minutes active
Chipping Sparrow
Red-bellied Woodpecker
7 minutes active
Red-bellied Woodpecker
Black-crowned Night Heron
7 minutes active
Black-crowned Night Heron
Indigo Bunting
5 minutes active
Indigo Bunting
Yellow-billed Cuckoo
4 minutes active
Yellow-billed Cuckoo
White-eyed Vireo
4 minutes active
White-eyed Vireo
Red-shouldered Hawk
2 minutes active
Red-shouldered Hawk
2 minutes active
Green Heron
Summer Tanager
2 minutes active
Summer Tanager
Purple Martin
2 minutes active
Purple Martin
Chimney Swift
2 minutes active
Chimney Swift
Great Blue Heron
2 minutes active
Great Blue Heron

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.