Birds at the dock

August 17, 2026: 28 species identified by BirdNET listening to the dock microphone. Ruby-throated Hummingbird was the most active with 8h 8m 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 6:59 AMSUNSET ☾ 8:25 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Ruby-throated Hummingbird
8h 8m active
Ruby-throated Hummingbird
Carolina Wren
2h 12m active
Carolina Wren
Blue Jay
1h 57m active
Blue Jay
Red-headed Woodpecker
1h 12m active
Red-headed Woodpecker
American Crow
52 minutes active
American Crow
Tufted Titmouse
50 minutes active
Tufted Titmouse
Northern Cardinal
40 minutes active
Northern Cardinal
Carolina Chickadee
38 minutes active
Carolina Chickadee
Eastern Bluebird
34 minutes active
Eastern Bluebird
White-breasted Nuthatch
31 minutes active
White-breasted Nuthatch
House Finch
26 minutes active
House Finch
Osprey
22 minutes active
Osprey
Downy Woodpecker
15 minutes active
Downy Woodpecker
Cedar Waxwing
14 minutes active
Cedar Waxwing
American Goldfinch
12 minutes active
American Goldfinch
Great Blue Heron
8 minutes active
Great Blue Heron
Northern Mockingbird
8 minutes active
Northern Mockingbird
Red-bellied Woodpecker
7 minutes active
Red-bellied Woodpecker
Red-shouldered Hawk
7 minutes active
Red-shouldered Hawk
Red-tailed Hawk
5 minutes active
Red-tailed Hawk
Fish Crow
5 minutes active
Fish Crow
Brown Thrasher
4 minutes active
Brown Thrasher
Yellow-billed Cuckoo
3 minutes active
Yellow-billed Cuckoo
Wild Turkey
3 minutes active
Wild Turkey
Black-crowned Night Heron
3 minutes active
Black-crowned Night Heron
Belted Kingfisher
2 minutes active
Belted Kingfisher
Summer Tanager
2 minutes active
Summer Tanager
Chimney Swift
2 minutes active
Chimney Swift

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.