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Satellite Radar May Strengthen Nepal's Flood Warning Systems

Satellite Radar May Strengthen Nepal's Flood Warning Systems
Flood Warning Systems Failed In Nepal. Can Satellites Strengthen Them? · NDTV

On August 26, a large mass of ice and rock collapsed near Nepal's border with Tibet.

This sent a dangerous wall of mud and water down the Bhote Koshi river.

More than 1,000 people were killed.

Some communities were warned only after the flood had already started.

Scientists studied radar pictures from satellites to look for movement before the collapse.

Radar can work at night and through many clouds.

The pictures suggested that part of the glacier and rock formation had been slowly moving.

However, movement does not always mean a collapse will happen soon.

Experts say satellite data should be combined with measurements from the ground, rivers, weather stations and seismometers.

Key facts

Disaster date
August 26
Reported deaths
More than 1,000 people
Trigger
Collapse of an ice-rock formation along the Nepal-Tibet border
Primary satellite data
Sentinel-1 Synthetic Aperture Radar
Reported movement estimate
Around 10 millimetres per month since January, according to Manoochehr Shirzaei
Alternative estimate
Nearly 51 millimetres per year from April to August, compared with around 18 millimetres per year during the 2025 snow-melting season, according to Spatial Sense
Key limitation
Line-of-sight radar measurements may underestimate movement perpendicular to the satellite's viewing direction

Quotes

Dr Nithiyanandam Y

Head of the Geospatial Research Program at the Takshashila Institution in Bengaluru.

“A combination of optical satellite imagery, radar data, InSAR and LiDAR, river flow measurements, seismic records, and high-altitude weather observations can all assist in tracking slope movement, glacier and lake changes, debris movement, and downstream exposure.”
NDTV
“The pragmatic approach would be to monitor critical locations like glaciers on the edge of mountains or those lodged at steep slopes”
NDTV

Chang'an University researcher

A researcher at China's Chang'an University who analysed NISAR data.

“The 3-D views further highlight how the deformation was concentrated on the steep source slope”
NDTV

Sources

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