Astronomy & Space

Rains Swamp the Gandak River

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Remote sensingMonsoonFlooding

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Between September 24-27, 2026, torrential monsoon rains in Nepal's Lumbini and Gandaki provinces caused severe flooding along the Gandak River (Narayani), with water levels reaching record highs in both Nepal and India. NASA's MODIS satellite imagery from September 20 and 29 captured the extent of flooding, showing the river swelling significantly beyond its normal channels, breaching embankments and inundating farmland and settlements across hundreds of kilometers. A monitoring gauge in Devghat, Nepal recorded 11.94 meters on September 27, the highest level since measurements began in the 1960s, while multiple gauges in India also set new high-water records.


The flooding displaced thousands of people and affected hundreds of villages, demonstrating the increasing vulnerability of communities along major river systems to extreme monsoon events. NASA's satellite monitoring tools provide critical real-time data for tracking such flood events and supporting emergency response efforts across international boundaries.


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September 20, 2026
September 29, 2026

A false-color satellite image shows the Gandak River before the flooding on September 20, 2026.
A false-color satellite image shows the Gandak River before the flooding on September 20, 2026.
NASA Earth Observatory / Lauren Dauphin

A false-color satellite image shows the same area during the flooding on September 29, 2026. The river appears much wider.
A false-color satellite image shows the same area during the flooding on September 29, 2026. The river appears much wider.
NASA Earth Observatory / Lauren Dauphin

A false-color satellite image shows the Gandak River before the flooding on September 20, 2026.
A false-color satellite image shows the Gandak River before the flooding on September 20, 2026.
NASA Earth Observatory / Lauren Dauphin

A false-color satellite image shows the same area during the flooding on September 29, 2026. The river appears much wider.
A false-color satellite image shows the same area during the flooding on September 29, 2026. The river appears much wider.
NASA Earth Observatory / Lauren Dauphin


September 20, 2026

September 29, 2026


Storms drenched Nepal’s mountainous Lumbini and Gandaki provinces with waves of torrential rain between September 24 and 27. The deluge, arriving late in the monsoon season, triggered landslides and pushed the Gandak River, also called the Narayani, to record levels in both Nepal and India.

With runoff streaming into the braided river system, water overtopped and breached embankments in several areas, inundating farmland and settlements along the river for hundreds of kilometers. As authorities assessed the full extent of the damage, news reports indicated that flooding and landslides had affected hundreds of villages and displaced thousands of people.

Images captured by MODIS (Moderate Resolution Imaging Spectroradiometer) on NASA’s Terra and Aqua satellites on September 20, 2026 (left), and September 29, 2026 (right), show the extent of the flooding. The false-color images combine observations of infrared and visible light (MODIS bands 7-2-1) to make it easier to distinguish the water. Floodwater appears blue; vegetation is bright green; clouds are light blue.

In many areas, water inundated seasonal fields on low-lying deposits of sand and silt within the river’s channel, called diara, where flooding is expected. However, it also breached embankments and flooded several settled areas, including parts of Bagaha, Areraj, and Fulia Khand.

Data from Nepal’s Department of Hydrology and Meteorology indicated that a gauge in Devghāṭ reached as high as 11.94 meters on September 27, the highest since measurements began there in the 1960s. According to news reports, gauges in India along the Gandak that set new high-water marks included Bagaha, Dumariaghat, Rewaghat, and Lalganj.

NASA has several tools and datasets available for tracking rainfall and flooding. Among them are Worldview, FLOOD Viewer, and the GPM IMERG Global Viewer. 

NASA Earth Observatory images by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Adam Voiland.

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