Birds at the dock

October 14, 2026: 31 species identified by BirdNET listening to the dock microphone. Carolina Wren was the most active with 1h 46m 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 7:44 AMSUNSET ☾ 7:03 PM025507510012 AM4 AM8 AMNOON4 PM8 PM

Species heard

Carolina Wren
1h 46m active
Carolina Wren
Tufted Titmouse
1h 39m active
Tufted Titmouse
Blue Jay
1h 29m active
Blue Jay
Red-bellied Woodpecker
1h 27m active
Red-bellied Woodpecker
American Crow
1h 24m active
American Crow
Red-headed Woodpecker
1h 17m active
Red-headed Woodpecker
House Finch
1h 14m active
House Finch
Eastern Phoebe
1h 12m active
Eastern Phoebe
Northern Cardinal
1h 7m active
Northern Cardinal
Carolina Chickadee
52 minutes active
Carolina Chickadee
Cedar Waxwing
47 minutes active
Cedar Waxwing
Northern Flicker
45 minutes active
Northern Flicker
White-breasted Nuthatch
26 minutes active
White-breasted Nuthatch
Northern Mockingbird
22 minutes active
Northern Mockingbird
Belted Kingfisher
21 minutes active
Belted Kingfisher
Brown Thrasher
19 minutes active
Brown Thrasher
Eastern Bluebird
17 minutes active
Eastern Bluebird
Downy Woodpecker
16 minutes active
Downy Woodpecker
Common Grackle
16 minutes active
Common Grackle
Fish Crow
12 minutes active
Fish Crow
Canada Goose
11 minutes active
Canada Goose
Killdeer
8 minutes active
Killdeer
Common Starling
7 minutes active
Common Starling
Golden-crowned Kinglet
6 minutes active
Golden-crowned Kinglet
Red-tailed Hawk
4 minutes active
Red-tailed Hawk
Barred Owl
4 minutes active
Barred Owl
3 minutes active
Least Sandpiper
Gadwall
3 minutes active
Gadwall
American Robin
3 minutes active
American Robin
Mallard
2 minutes active
Mallard
Yellow-rumped Warbler
2 minutes active
Yellow-rumped Warbler

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.