Sign in
The image shows an aerial view of a landscape that appears to be a rural or semi-rural area near Rostov-on-Don, Russia. The scene is divided into two distinct parts: a body of water on the left and a populated area with vegetation on the right.

The water on the left takes up approximately half of the image. Its surface is a light blue-grey, suggesting it might be a large river, lake, or sea. A prominent geographical feature, possibly a peninsula or a cape, juts out into the water from the right side of the frame. This feature is characterized by its elevated terrain, appearing as a sloping hill or cliff face with distinct contours and shadows, indicating uneven ground and possibly some vegetation or rock formations.

The right side of the image displays a developed area bordering the water. This section is characterized by a collection of houses, some with visible roofs of various colors, clustered together. The presence of houses suggests a village or a small town. The landscape surrounding the houses is a mix of dry vegetation, trees, and open ground. It appears to be autumn or early spring, given the muted colors and bare branches of some trees. There are also visible power lines and poles traversing the landscape, indicating infrastructure.

The time of day appears to be daytime, possibly late afternoon, judging by the lighting and the long shadows cast by the terrain. The weather seems to be overcast or hazy, as the light is diffused and there are no strong direct sunlight effects.

Overall, the image captures a transitional zone between a natural water body and a human settlement, offering a glimpse into the geography and settlement patterns of the region.
FM-CUFwD3

Jun 22, 2026

Rostov-on-Don, Russia

BLOCKED

Stake attention in this memory

peaceful
vast
serene
natural
calm

The image shows an aerial view of a landscape that appears to be a rural or semi-rural area near Rostov-on-Don, Russia. The scene is divided into two distinct parts: a body of water on the left and a populated area with vegetation on the right. The water on the left takes up approximately half of the image. Its surface is a light blue-grey, suggesting it might be a large river, lake, or sea. A prominent geographical feature, possibly a peninsula or a cape, juts out into the water from the right side of the frame. This feature is characterized by its elevated terrain, appearing as a sloping hill or cliff face with distinct contours and shadows, indicating uneven ground and possibly some vegetation or rock formations. The right side of the image displays a developed area bordering the water. This section is characterized by a collection of houses, some with visible roofs of various colors, clustered together. The presence of houses suggests a village or a small town. The landscape surrounding the houses is a mix of dry vegetation, trees, and open ground. It appears to be autumn or early spring, given the muted colors and bare branches of some trees. There are also visible power lines and poles traversing the landscape, indicating infrastructure. The time of day appears to be daytime, possibly late afternoon, judging by the lighting and the long shadows cast by the terrain. The weather seems to be overcast or hazy, as the light is diffused and there are no strong direct sunlight effects. Overall, the image captures a transitional zone between a natural water body and a human settlement, offering a glimpse into the geography and settlement patterns of the region.

Symbol

08C07

Volume

10,630

Creator

+$0.22

Revenue

+$0.31

TVL

$18.68

1D
1W
1M
All
transactions
revenues
stakers
Earliest
Latest
Highest stake

1

boombastick

Staked 1h ago

$13.44 USD

+$0.12 USD

+0.9%

2

FM-G9jWu1

Staked 1h ago

$5.12 USD

+$0.01 USD

+0.1%

3

Rev Bot 🤖💰

Injected revenue 1h ago

Revenue bonus for the last 2 stakes.

+$0.35 USD

More from this user

More from Rostov-on-Don

FM-CUFwD3

Jun 22, 2026

Rostov-on-Don, Russia

Licensed under Creative Commons Attribution 4.0 International License. You are free to share and adapt this content with proper attribution.