2026-10-16

Sentinel-2 Analysis of Gaza

🛰️ S2B 📐 10m/Pixel ☁️ 94.0% 🌑 5.8% 📖 Cite Me 💾 Download Assets

📍 Gaza

Faded True Color Image - Gaza
Cloud & Shadow Coverage Overlay - Gaza
Clear 0.2% 21320 px
Cloud 94.0% 12937005 px
Shadow 5.8% 802850 px

📍 North Gaza

Faded True Color Image - North Gaza
Cloud & Shadow Coverage Overlay - North Gaza
Clear 0.0% 4 px
Cloud 96.2% 1130112 px
Shadow 3.8% 44650 px

📍 Gaza City

Faded True Color Image - Gaza City
Cloud & Shadow Coverage Overlay - Gaza City
Clear 0.0% 0 px
Cloud 96.3% 1674063 px
Shadow 3.7% 64673 px

📍 Deir al Balah

Faded True Color Image - Deir al Balah
Cloud & Shadow Coverage Overlay - Deir al Balah
Clear 0.0% 0 px
Cloud 97.2% 1257826 px
Shadow 2.8% 35773 px

📍 Khan Younis

Faded True Color Image - Khan Younis
Cloud & Shadow Coverage Overlay - Khan Younis
Clear 0.0% 0 px
Cloud 92.7% 1706041 px
Shadow 7.3% 133360 px

📍 Rafah

Faded True Color Image - Rafah
Cloud & Shadow Coverage Overlay - Rafah
Clear 0.9% 13476 px
Cloud 88.5% 1352072 px
Shadow 10.7% 162892 px

☁️ Cloud & Shadow Detection

Cloud and shadow masks are generated using OmniCloudMask, a deep learning ensemble trained on the CloudSEN12 dataset. The model processes three spectral bands (Red, Green, Near-Infrared) from Sentinel-2 imagery to classify pixels as clear, cloud, or shadow, then applies morphological post-processing to remove noise and smooth boundaries.

Color Legend

  • Clouds within region
  • Shadows within region
  • Clouds outside region
  • Shadows outside region

📚 OmniCloudMask Reference

Model OmniCloudMask
Authors Wright, N. J.; Duncan, J. M. A.; Callow, J. N.; Thompson, S. E.; George, R. J.
Publication Remote Sensing of Environment, 322, 114694 (2025)
DOI 10.1016/j.rse.2025.114694
Repository github.com/DPIRD-DMA/OmniCloudMask
License MIT

🛰️ Product Information & Attribution

Product ID S2B_MSIL2A_20261016T081919_N0513_R121_T36RXV_20261016T124208
Sensing Time 2026-10-16 08:19:19 UTC
Orbit 121
Tile ID T36RXV
Processing Baseline N051
Credit Line Contains modified Copernicus Sentinel data
License Creative Commons Attribution 4.0 International License
Data Source https://dataspace.copernicus.eu/
Modifications Processed with OmniCloudMask for cloud/shadow detection.
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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://doi.org/10.5270/S2_-znk9xsj 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 2026-10-16." Sentinel Bird Gaza Satellite Analysis. Accessed . https://sentinelbird.com/palestine/gaza/dates/2026-10-16/.

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://doi.org/10.5270/S2_-znk9xsj. 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 2026-10-16." Sentinel Bird Gaza Satellite Analysis, , https://sentinelbird.com/palestine/gaza/dates/2026-10-16/. Accessed .
Note: This visualization is a derived product. All three sources should be cited: Sentinel-2 data, OmniCloudMask methodology, and this visualization.