Cachar · Karimganj · Hailakandi · Dima Hasao

Which roads still work tomorrow.

Existing systems report that a flood is happening. SetuNER estimates which roads will still carry a truck tomorrow, and what can reach the people who need supplying — from daily government reports, satellite rainfall, terrain and reports from the ground.

The Barak Valley · MODIS Terra · 10 Feb 2026 · NASA Worldview

Reading the corridor…

What the water does

The same valley, eight months apart.

False-colour satellite view of the Assam valley in the dry season

10 February 2026

Dry season. The Brahmaputra is a thread inside its own bed.

False-colour satellite view of the same valley in flood, the water spread wide

8 June 2025

The week 22 districts were listed as flood-affected in this project record.

False colour: water reads as deep blue, vegetation as green, cloud as white. MODIS Terra bands 7-2-1, NASA Worldview.

The 2025 flood, as it happened

The rain arrives days before the report does.

Cachar · 24 May – 18 June 2025

Rainfall, and the days the district was listed as flood-affected.

025507510024 May: 6.4 mm25 May: 46.6 mm26 May: 17.7 mm27 May: 1.9 mm28 May: 20.3 mm29 May: 40.4 mm30 May: 33.8 mm, listed as affected31 May: 89.7 mm1 Jun: 32 mm, listed as affected2 Jun: 11.8 mm, listed as affected3 Jun: 4.1 mm, listed as affected4 Jun: 4.6 mm, listed as affected5 Jun: 3.8 mm, listed as affected6 Jun: 4.6 mm, listed as affected7 Jun: 0.8 mm8 Jun: 0.1 mm, listed as affected9 Jun: 0.1 mm, listed as affected10 Jun: 11 mm, listed as affected11 Jun: 1.5 mm, listed as affected12 Jun: 0.3 mm, listed as affected13 Jun: 6.2 mm14 Jun: 13.1 mm15 Jun: 41.9 mm16 Jun: 24.6 mm17 Jun: 22.4 mm18 Jun: 5.2 mmfirst listed affected24 May28 May1 Jun5 Jun9 Jun13 Jun17 Jun
rain, mm/day listed affected no report that dayNASA IMERG · ASDMA DRIMS

What the chart shows

Each bar is a day of rainfall over Cachar, measured by satellite. The red band underneath marks the days the government report listed the district as flood-affected, and the dashed line is the first of them.

Why it matters

Rain builds from 25 May, five days before the district appears in any report. The heaviest day of all — 90 mm on 31 May — lands after the flood is already declared. A system that waits for the report is always reading the past; the rainfall was there to be read the whole time.

What is not claimed

This is one district in one season, shown to explain the idea. Whether rainfall actually improves the forecast is a separate question, tested properly and answered honestly on the forecast page: it won on the held-out season, lost on validation, and is now on trial rather than in service.

False-colour satellite view of the Barak Valley on 12 June 2025, with standing floodwater visible as dark navy across the valley floor

12 June 2025 · the corridor, finally visible

Dark navy is water standing on the valley floor. MODIS Terra bands 7-2-1.

And this is the picture

It is a clear view of the flooded corridor — and it is dated 12 June, thirteen days after the district was first listed and long after the trucks needed routing.

On 1 June, the day it flooded, the same satellite returned solid cloud. That is the ordinary case during a monsoon, not bad luck: the weather that causes the flood is the weather that hides it. Radar can see through cloud, which is why Sentinel-1 flood extent is on the roadmap and honestly marked as not built.

Built on

  • 110,266 road segments from OpenStreetMap, with terrain from the Copernicus DEM
  • ASDMA DRIMS daily flood reports since May 2025, ingested every morning
  • NASA GPM IMERG satellite rainfall, one file per day
  • Relief-camp populations per revenue circle, from the same reports

What it does not claim

  • Rainfall is collected but not yet served — a model using it has to beat the current one on days neither has seen first.
  • Per-road risk uses a stated terrain assumption, not a fitted model.
  • Depot stock and fleet are operator inputs; the defaults are examples.
  • Not an official advisory service. It is an engineering project built on public data.