Coverage Analysis: 2026-02-28

Sentinel-2 Cloud Mask Overlay Visualization

⚠️ 66.8% Total Contamination ☁️ 58.8% Cloud Cover 🌑 8.0% Shadows 🛰️ S2B 📐 10m/Pixel 📖 Cite Me

📍 Gaza

Faded True Color Image - Gaza
Cloud & Shadow Coverage Overlay - Gaza
Clear 33.2% 4565018 px
Cloud 58.8% 8093805 px
Shadow 8.0% 1102353 px

📍 North Gaza

Faded True Color Image - North Gaza
Cloud & Shadow Coverage Overlay - North Gaza
Clear 100.0% 1174767 px
Cloud 0.0% 0 px
Shadow 0.0% 0 px

📍 Gaza City

Faded True Color Image - Gaza City
Cloud & Shadow Coverage Overlay - Gaza City
Clear 50.3% 874909 px
Cloud 46.7% 811794 px
Shadow 3.0% 52034 px

📍 Deir al Balah

Faded True Color Image - Deir al Balah
Cloud & Shadow Coverage Overlay - Deir al Balah
Clear 0.8% 9726 px
Cloud 95.6% 1236928 px
Shadow 3.6% 46946 px

📍 Khan Younis

Faded True Color Image - Khan Younis
Cloud & Shadow Coverage Overlay - Khan Younis
Clear 8.2% 150783 px
Cloud 77.4% 1423602 px
Shadow 14.4% 265016 px

📍 Rafah

Faded True Color Image - Rafah
Cloud & Shadow Coverage Overlay - Rafah
Clear 21.1% 321806 px
Cloud 64.2% 981438 px
Shadow 14.7% 225195 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_20260228T081759_N0512_R121_T36RXV_20260228T124158
Sensing Time 2026-02-28 08:17:59 UTC
Orbit 121
Tile ID T36RXV
Processing Baseline N051
Credit Line Contains modified Copernicus Sentinel data 2026
Data Source https://dataspace.copernicus.eu/
Modifications Official L2A TCI raster cropped to Gaza Strip AOI with visualization overlays: hot magenta/neon purple cloud/shadow mask overlay.
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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. "Cloud Coverage Analysis for 2026-02-28." Sentinel Bird Gaza Satellite Analysis. Accessed . https://sentinelbird.com/dates/2026-02-28/cloud_masks/.

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. "Cloud Coverage Analysis for 2026-02-28." Sentinel Bird Gaza Satellite Analysis, , https://sentinelbird.com/dates/2026-02-28/cloud_masks/. Accessed .
Note: This visualization is a derived product. All three sources should be cited: Sentinel-2 data, OmniCloudMask methodology, and this visualization.