Birds at the dock

June 3, 2026: 25 species identified by BirdNET listening to the dock microphone. Tree Swallow was the most active with 1h 18m active; Barn Swallow traveled farthest, a 9,700 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 6:23 AMSUNSET ☾ 8:50 PM01225375012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Tree Swallow
1h 18m active · 3,700 mi round trip
Tree Swallow
Osprey
42 minutes active
Osprey
Red-headed Woodpecker
34 minutes active
Red-headed Woodpecker
Chuck-will's-widow
31 minutes active
Chuck-will's-widow
Carolina Wren
25 minutes active
Carolina Wren
Northern Cardinal
20 minutes active
Northern Cardinal
Belted Kingfisher
16 minutes active
Belted Kingfisher
Purple Martin
13 minutes active
Purple Martin
Red-bellied Woodpecker
12 minutes active
Red-bellied Woodpecker
Tufted Titmouse
11 minutes active
Tufted Titmouse
Northern Mockingbird
11 minutes active
Northern Mockingbird
Prothonotary Warbler
10 minutes active
Prothonotary Warbler
Great Crested Flycatcher
9 minutes active · 5,000 mi round trip
Great Crested Flycatcher
Summer Tanager
8 minutes active
Summer Tanager
Carolina Chickadee
8 minutes active
Carolina Chickadee
Barn Swallow
6 minutes active · 9,700 mi round trip
Barn Swallow
Canada Goose
4 minutes active
Canada Goose
Great Blue Heron
3 minutes active
Great Blue Heron
American Crow
3 minutes active
American Crow
Fish Crow
3 minutes active
Fish Crow
Chimney Swift
2 minutes active
Chimney Swift
Common Grackle
2 minutes active
Common Grackle
Eastern Bluebird
2 minutes active
Eastern Bluebird
White-breasted Nuthatch
2 minutes active
White-breasted Nuthatch
Northern Rough-winged Swallow
2 minutes active
Northern Rough-winged Swallow

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.