The image depicts a devastated urban residential area in Khan Yunis, Palestinian Territory, characterized by extensive structural damage and makeshift living conditions. Multiple multi-story apartment buildings, varying in height and design, line a wide dirt-covered courtyard or open space. These buildings show severe damage, including numerous shattered windows, pockmarked facades indicative of bullet impacts or shrapnel, and visible interior destruction. Some balconies are damaged, and window shutters hang loosely or are missing. On the ground, piles of concrete rubble, twisted metal, and general debris are scattered throughout, particularly in the foreground and near the base of the damaged structures. Several temporary shelters are erected in the open space. A large, light-colored canvas tent stands prominently in the middle-left. Near the right, a smaller, makeshift shelter is constructed from tarpaulins, with a blue tarp displaying the "unicef" logo. Clothes are visible hanging on lines near some of these shelters. Approximately ten individuals, appearing to be mostly children or young adults, are present in the scene. A group of six individuals walks across the dirt area in the middle ground, one wearing an orange shirt, the others in dark clothing. In the lower foreground, two people in dark clothing stand near a pile of rubble. The ground consists of uneven, dry dirt with scattered stones and debris. The sky above is overcast, providing diffuse lighting to the scene.Witness documents extensive war damage a
IMAGE
NYF5efh1IGNy2YdE15zso7V8KrL2

roma

Creator

Sun, Jan 4, 2026, 02:42 PM

Khan Yunis, Palestinian Territory

31.37700, 34.31800

The image depicts a devastated urban residential area in Khan Yunis, Palestinian Territory, characterized by extensive structural damage and makeshift living conditions. Multiple multi-story apartment…read more

Despair
Loss
Destitution
Vulnerability
Resilience

Technical

ID

31a2012f-4d42-47b2-9

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