2026-05-26

Sentinel-2 Analysis of Gaza

🛰️ S2A ⚠️ 9.9% Total Contamination ☁️ 5.2% Clouds 🌑 4.7% Shadows 📐 10m/Pixel 📖 Cite Me 💾 Download Assets

📍 Gaza

Clear 90.1% 12402411 px
Cloud 5.2% 711025 px
Shadow 4.7% 647739 px

📍 North Gaza

Clear 95.6% 1122977 px
Cloud 2.1% 24364 px
Shadow 2.3% 27425 px

📍 Gaza City

Clear 98.7% 1716709 px
Cloud 0.5% 9070 px
Shadow 0.7% 12958 px

📍 Deir al Balah

Clear 98.9% 1279765 px
Cloud 0.6% 7231 px
Shadow 0.5% 6604 px

📍 Khan Younis

Clear 81.0% 1489251 px
Cloud 10.2% 188059 px
Shadow 8.8% 162091 px

📍 Rafah

Clear 82.4% 1258923 px
Cloud 9.2% 140276 px
Shadow 8.5% 129240 px
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Citation Formats

Chicago Style

European Commission Copernicus Programme. Sentinel-2 Level-2A satellite imagery. Contains modified Copernicus Sentinel data 2026. Processed by Sentinel Bird. Accessed . https://dataspace.copernicus.eu/ Wright, Nicholas, John M.A. Duncan, J. Nik Callow, Sally E. Thompson, and Richard George. "Training Sensor-Agnostic Deep Learning Models for Remote Sensing: Achieving State-of-the-Art Cloud and Cloud Shadow Identification with OmniCloudMask." Remote Sensing of Environment 322 (2025): 114694. https://doi.org/10.1016/j.rse.2025.114694 Sentinel Bird. "Overview of Gaza for 2026-05-26." Sentinel Bird Gaza Satellite Analysis. Accessed . https://sentinelbird.com/dates/2026-05-26/.

MLA Style

European Commission Copernicus Programme. Sentinel-2 Level-2A satellite imagery. Contains modified Copernicus Sentinel data 2026. Processed by Sentinel Bird. Copernicus Data Space Ecosystem, https://dataspace.copernicus.eu/. Accessed . Wright, Nicholas, et al. "Training Sensor-Agnostic Deep Learning Models for Remote Sensing: Achieving State-of-the-Art Cloud and Cloud Shadow Identification with OmniCloudMask." Remote Sensing of Environment, vol. 322, 2025, p. 114694, https://doi.org/10.1016/j.rse.2025.114694. Sentinel Bird. "Overview of Gaza for 2026-05-26." Sentinel Bird Gaza Satellite Analysis, , https://sentinelbird.com/dates/2026-05-26/. Accessed .
Note: This visualization is a derived product. All three sources should be cited: Sentinel-2 data, OmniCloudMask methodology, and this visualization.