The image depicts an outdoor urban scene in Khan Yunis, Palestinian Territories, viewed from an elevated position. Dominating the foreground and top right are thick, dark cables and wires, indicating a high vantage point for the photograph. The scene features a wide, unpaved or lightly paved street, bordered by multi-story residential buildings on the left side. These buildings are light-colored, featuring numerous windows and balconies. Many individual dark-colored water tanks are visible on the rooftops. Some structures, particularly closer to the foreground, show signs of damage or disrepair. A significant portion of the ground is covered by extensive rubble, consisting of broken concrete, twisted rebar, and debris, suggesting a history of destruction. Adjacent to this rubble, a long, white, tent-like structure is visible. Numerous people are gathered on the street, mostly adults. They appear to be standing, walking, or congregating in small groups. Their clothing is casual. One light-colored pickup truck is visible on the street, surrounded by several individuals, suggesting a point of interest or activity. Another vehicle, partially obscured near the rubble, appears covered. The overall impression is of an urban environment that has experienced significant damage, with residents present amidst the aftermath. The lighting is bright and clear, indicating daylight, likely midday, with strong shadows visible on the ground. There is no discernible text visible in the image.Khan Yunis residents struggle with water
IMAGE
A19eKRn4qWerJE4dGUpswBU9GOy1

NERMEEN SALEH

Creator

Wed, Jun 3, 2026, 08:13 AM

19d ago

Khan Yunis, Palestinian Territories

31.37700, 34.31800

The image depicts an outdoor urban scene in Khan Yunis, Palestinian Territories, viewed from an elevated position. Dominating the foreground and top right are thick, dark cables and wires, indicating…read more

devastation
resilience
community
struggle
hope

Technical

ID

d148cb48-a829-4935-b

𝕏finWT

Usage Rights

This media is free for non-commercial use with proper attribution.

Commercial use, AI/ML training, and derivative works are prohibited without explicit consent from the creator.

Licensed under CC BY-NC 4.0 with additional AI/ML restrictions. Full terms →

View event cluster