Rain-Recharge Radar

All 60 Guwahati wards, scored for groundwater recharge potential — before a single borehole is drilled, from open satellite data alone.

HydroScore ward map — all 60 Guwahati wards shaded by recharge-favourability score

The HydroScore ward map — all 60 GMC wards shaded by recharge favourability, high-scoring wards standing out against the city outline. One screen that ranks the whole city.

Focus

Groundwater recharge screening & stormwater re-use

Coverage

60 GMC wards · ~172.5 km²

Method

Satellite remote sensing + open-source GIS

Rain-RechargeRadarisasatellite-derivedscreeninglayerthatmapswheresurfaceconditionsacrossGuwahatifavourgroundwaterrecharge—reframingmonsoonstormwaterfromaflood-disposalproblemintoanaquifer-storageopportunity.

It fuses radar backscatter, optical indices, terrain, and soil texture into a single ward-level score — built entirely from open satellite data and reproducible GIS, with every layer traceable.

The Problem

Intense monsoons. But stressed aquifers — and deciding where to store the water is still guesswork.

Guwahati floods almost every monsoon, yet its groundwater keeps declining. We mapped the friction points holding back every recharge decision.

Stormwater Flushed Away

Stormwater Flushed Away

Monsoon bursts overwhelm the drainage network — stormwater is flushed away as waste instead of stored underground.

Stressed Groundwater

Stressed Groundwater

Groundwater stays stressed even in one of India's highest-rainfall cities.

Intuition Over Evidence

Intuition Over Evidence

Siting recharge infrastructure — pits, rain gardens, injection wells — is largely intuition, not evidence.

Unscalable Surveys

Unscalable Surveys

Borehole and field infiltration surveys are slow, costly, and don't scale to 60 wards.

No Decision Layer

No Decision Layer

No comparable, ward-level decision layer exists to prioritise which wards to act on first.

The Solution

Onescreeninglayer.Sixtyrankedwards,onecomparablescore.

A pre-feasibility decision layer that turns raw satellite signals into a single, comparable recharge score per ward.

Rain-Recharge Radar composites a year of open Earth-observation data — Sentinel-1 radar (SAR VV), HLS optical indices (NDVI, NDWI, NDBI), a Copernicus/SRTM elevation model, and USDA soil texture — into seven layers, then reduces them to a HydroScore for each ward. The result shows where surface conditions most favour recharge, so field effort and infrastructure spend can start with the wards most likely to pay off.

See how each layer is built→

Impact

Every figure below is satellite-derived and validated in analysis — no business or ROI metrics, by design.

60 Wards · 22-Point Spread

Every GMC ward sits on one HydroScore scale, with a real 22-point range — Ward 10 (≈65.7) at the top, Ward 34 (≈43.7) at the bottom — genuinely separating favourable from unfavourable ground.

Slope Drives It · r = −0.640

Between-ward recharge favourability tracks terrain slope most strongly — flatter wards score higher, exactly as infiltration physics predicts.

Cross-Sensor Check · r = +0.807

Radar backscatter (SAR VV) agrees with the independent imperviousness layer at r = +0.807 — a physics check that the built-up signal is real structure, not noise.

Elevation Confirms It · r = −0.615

Lower-elevation wards score higher for recharge, reinforcing that the layer captures a genuine hydrological gradient rather than an artefact.

The Map · Recharge favourability

Where the ground best soaks up rain.

One combined score per ward for how well its surface lets rainwater sink in and refill groundwater. Greener wards drink the rain; redder wards shed it as runoff.

HydroScore recharge-favourability map across 60 Guwahati wards
10
1
2
34
33
40

Recharge Potential Mapping — surface-condition screening, not aquifer modelling. Field infiltration validation pending.

The Layers · How the score is built

Satellite layers, one comparable score.

Each ward is measured on the same physical drivers of infiltration, then folded into a single ranked HydroScore. Every layer is read straight from open satellite data — no field survey required.

Recharge class map

Recharge class

The three-tier verdict: low, moderate, high.

traffic lightHydroScore split
Sealed surface map

Sealed surface

Share of built + paved ground.

less is betterDynamic World
Radar roughness map

Radar roughness

Backscatter cross-checks built-up areas.

physics checkSentinel-1 VV
Slope map

Slope

Steeper land sheds more water.

flatter is betterSRTM
Elevation map

Elevation

Mean ground height per ward.

sets flowSRTM
Concavity map

Concavity

Hollows collect water; ridges shed it.

bowls are betterSRTM curvature
Vegetation map

Vegetation

Greener ground is more permeable.

greener is betterSentinel-2 NDVI
Surface moisture map

Surface moisture

Standing water and wet zones.

context layerSentinel-2 NDWI
Water-collecting area map

Water-collecting area

Share of ward that is hollow terrain.

more is betterSRTM
Soil infiltration map

Soil infiltration

How fast water seeps through.

loam is bestOpenLandMap USDA

Validation

What the numbers do — and don't — claim

“

Stormwater isn't waste to flush away — it's storage waiting for the right ground. Rain-Recharge Radar shows planners where that ground is.

Project rationale

Rain-Recharge Radar · Tier-0 screening layer

Rain-Recharge Radar — recharge-favourability screening across Guwahati

Rain-Recharge Radar

Surface-condition screening

Every figure on this page is satellite-derived and validated in analysis — the 22-point HydroScore spread and the slope, imperviousness, and elevation correlations. Field infiltration checks at the top-scoring wards are the stated next step, framed as roadmap, not a claim already made.

Satellite-verified · field checks next

See where Guwahati should store its rain.