The image depicts a damaged urban street in Khan Yunis, Palestinian Territory, viewed from an elevated perspective. Two multi-story residential buildings, primarily light beige in color, flank a street that extends into the distance, revealing more similar structures. Both foreground buildings exhibit extensive damage, including numerous impact marks consistent with bullet holes across their facades, shattered or missing windowpanes, and significant structural compromise, particularly at their upper levels where rebar is exposed. On the right building, several windows are covered with blue and black tarp-like materials. The ground level of both buildings features arched openings. Underneath the right building's arches, a yellow object covered by a tarp or fabric, and a silver car, are parked. The street itself is paved with dark interlocking bricks in the immediate foreground, transitioning to a heavily disturbed dirt and rubble-strewn area further into the scene. Large piles of concrete debris and other construction waste are visible in the middle ground. Amidst this rubble, a small, makeshift structure covered in white tarp material stands. Four individuals are present. In the paved foreground, one person in dark clothing and a backpack stands on the left, facing right. Another person in light-colored clothing stands on the right, facing left. In the middle ground, near the makeshift structure and rubble, two smaller individuals are observed, appearing to interact with the debris. The sky above is clear and light blue, indicating daytime conditions.

Life amid destruction: Khan Yunis scenes

IMAGE

reham

Creator

Tue, Feb 3, 2026, 02:50 PM

Khan Yunis, Palestinian Territory

31.37700, 34.31800

The image depicts a damaged urban street in Khan Yunis, Palestinian Territory, viewed from an elevated perspective. Two multi-story residential buildings, primarily light beige in color, flank a stree…read more

[object Object]

Technical

95d8e3c2-bfef-457a-9

𝕏 f in W T

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