2026-07-08

Sentinel-2 Analysis of Gaza

🛰️ S2B 📐 10m/Pixel ☁️ 5.0% 🌑 4.8% 📖 Cite Me 💾 Download Assets

📍 Gaza

Faded True Color Image - Gaza
Cloud & Shadow Coverage Overlay - Gaza
Clear 90.2% 12414281 px
Cloud 5.0% 690322 px
Shadow 4.8% 656572 px

📍 North Gaza

Faded True Color Image - North Gaza
Cloud & Shadow Coverage Overlay - North Gaza
Clear 94.2% 1106357 px
Cloud 2.4% 27774 px
Shadow 3.5% 40636 px

📍 Gaza City

Faded True Color Image - Gaza City
Cloud & Shadow Coverage Overlay - Gaza City
Clear 98.9% 1720309 px
Cloud 0.4% 7290 px
Shadow 0.6% 11138 px

📍 Deir al Balah

Faded True Color Image - Deir al Balah
Cloud & Shadow Coverage Overlay - Deir al Balah
Clear 98.5% 1274649 px
Cloud 0.7% 9378 px
Shadow 0.7% 9572 px

📍 Khan Younis

Faded True Color Image - Khan Younis
Cloud & Shadow Coverage Overlay - Khan Younis
Clear 86.2% 1584874 px
Cloud 6.9% 126395 px
Shadow 7.0% 128133 px

📍 Rafah

Faded True Color Image - Rafah
Cloud & Shadow Coverage Overlay - Rafah
Clear 75.6% 1155877 px
Cloud 13.6% 208127 px
Shadow 10.8% 164436 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_20260708T081559_N0512_R121_T36RXV_20260708T122208
Sensing Time 2026-07-08 08:15:59 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.
×

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 2026-07-08." Sentinel Bird Gaza Satellite Analysis. Accessed . https://sentinelbird.com/palestine/gaza/dates/2026-07-08/.

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 2026-07-08." Sentinel Bird Gaza Satellite Analysis, , https://sentinelbird.com/palestine/gaza/dates/2026-07-08/. Accessed .
Note: This visualization is a derived product. All three sources should be cited: Sentinel-2 data, OmniCloudMask methodology, and this visualization.