Eyad Bouges

After KAUST Academy

As of October 2026, Eyad is an undergraduate student at the University of Jeddah. Eyad graduated from the first Water Sustainability cohort of KAUST Academy in September 2026, after a two-month research internship at KAUST comparing drone images with satellite images.

Summer project

Water Sustainability Specialization · Cohort 2026

Cross-Platform Analysis of Land Cover Using UAV, SkySat, and Sentinel-2 Imagery

This report compares land-cover NDVI derived from UAV, SkySat, and Sentinel-2 imagery at the King Abdullah Monument site at KAUST. UAV28 and SkySat were acquired on 28 June 2021, and UAV30 and Sentinel-2 on 30 June 2021. The observations were evaluated using an overall mangrove region of interest (ROI), three equal-area mangrove-density ROIs, and land-cover ROIs representing mangroves, seawater, asphalt, and a green surface. Overall mangrove mean NDVI was 0.546 for UAV28, 0.557 for UAV30, 0.352 for SkySat, and 0.206 for Sentinel-2. All platforms preserved the dense > moderate > low mangrove ordering and physically interpretable class signs, but their absolute NDVI values were not interchangeable. Spatial support and mixed pixels are the leading expected contributors, alongside sensor characteristics and acquisition conditions. Supplementary Sentinel-2 index analyses at KAUST1 and KAUST2 and an exploratory four-band MicaSense K-means classification at HUW1 are documented separately and are not pooled with the main-site statistics. Multi-sensor monitoring should therefore use fixed ROIs, harmonized reflectance, explicit uncertainty, and independent validation.

Read the final report (PDF)

With KAUST Academy

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