Examine the role of space-based remote sensing in disaster risk reduction and response, with reference to recent Himalayan flash-flood events.

Space-based remote sensing supplies the synoptic, repetitive and hazard-zone-agnostic data that ground networks cannot in fragile Himalayan terrain. The August 2026 Bhote Koshi flash flood in Nepal's Rasuwa district shows both its indispensability and its residual limits.

Pre-disaster: risk assessment and zonation

• NRSC's Flood Hazard Zonation and Flood Affected Area Atlases convert archived satellite data into flood-prone-area maps that guide land-use regulation [2].
• NDMA's Guidelines on Management of GLOFs (2020) rely on satellite-based glacial lake inventories to identify high-risk lakes for expeditions and mitigation by Himalayan States [3].

Early warning and continuous monitoring

• EOS-05 (GISAT-1A), launched on 4 September 2026 by GSLV-F17 into a sub-geosynchronous transfer orbit and being raised to ~36,000 km, is India's first earth-imaging satellite bound for geosynchronous orbit — trading fine resolution for near-continuous watch over a fixed region [1].
• This directly serves Sendai Framework Target G on multi-hazard early warning, where UNDRR-WMO reporting records persistent global coverage gaps [5].

During and post-disaster response

• ISRO's Disaster Management Support Programme and the Decision Support Centre at NRSC act as a single-window channel of near-real-time flood, landslide and cyclone products to the Ministry of Home Affairs and nodal ministries [2].
• For Bhote Koshi, the International Charter "Space and Major Disasters" (Activation 1052) was triggered on Nepal's request, pooling multi-agency imagery for damage assessment of settlements, bridges and hydropower assets [4].

Constraints

• Optical sensors are defeated by Himalayan cloud cover and night; sudden slope-and-glacier failures leave minimal warning lead time [4].
• Imagery is only as useful as the last-mile dissemination and institutional capacity that acts on it [5].

Remote sensing has thus shifted disaster management from reactive relief toward anticipatory risk reduction. Consolidating geosynchronous assets like EOS-05 with all-weather radar imaging, automated glacial-lake monitoring and regional data-sharing with Himalayan neighbours would align India's space capability with the Sendai Framework's prevention-first vision.