Preprint
Communication

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TitleCross-Sensor Characterization of the 26 August 2026 Nepal High-Mountain Hazard Cascade Using Landsat and Sentinel-1

Submitted:

07 September 2026

Posted:

08 September 2026

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Abstract
On 26 August 2026, a mass-movement and flood cascade affected the Nepal–China border region and propagated downstream through the Lende Khola–Trishuli river system. Rapid characterization of such high-mountain events is challenging because optical observations may be limited by cloud cover, while synthetic aperture radar (SAR) amplitude changes can reflect multiple surface and geometric effects. We combined pre- and post-event Landsat 8/9 imagery with multi-temporal Sentinel-1 VV observations to determine whether the 2026 disturbance produced a spatially coherent radar response. A 5.52 km2 affected-area footprint was independently delineated from Landsat imagery and used to compare Sentinel-1 changes inside and outside the mapped disturbance along a 14.4 km valley corridor. A spatially matched 2025 sequence was used to quantify reference-year spatial variability. Within the mapped footprint, median absolute VV change during the 2026 event was 2.19 dB, compared with 1.66 dB outside, while median event anomaly was 0.56 and 0.06 dB, respectively. The inside–outside anomaly contrast was positive in 27 of 29 profile segments. After adjustment for the corresponding 2025 spatial contrast, the event-specific effect remained positive in 25 of 29 segments, with a median of 0.344 dB. Over a common 14 km profile, positive effects persisted in 85.7% of 500 m units, 85.7% of 1 km units, and 100% of 2 km units. The results demonstrate that the optically mapped 2026 disturbance coincided with a robust, spatially coherent Sentinel-1 response. The proposed cross-sensor framework provides a simple approach for rapid characterization of high-mountain cascading hazards without interpreting SAR amplitude change as a direct event inventory.
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