Tools / Flood Risk Analysis

Flood Risk Analysis for India

See exactly when any plot in India has flooded, how often, and how recently — verified from 26 years of ISRO satellite imagery.

What is a flood, and how does it damage property?

A flood is any temporary inundation of normally dry land. In India, floods take several distinct forms — and the type of flood determines what your land is actually exposed to. Knowing this is the foundation of any flood risk analysis.

The four kinds of flooding in India

Riverine flooding is the most common type. Rivers overflow their banks during monsoon (June–September) or when upstream dams release water without warning. The Krishna, Godavari, Brahmaputra, Yamuna, and Ganga basins are the most exposed. Riverine floods arrive slowly and recede slowly — water can sit on a plot for days or weeks. The Andhra Pradesh floods of September 2024 submerged large parts of Krishna and Guntur districts for over a week.

Urban or flash flooding happens when heavy rainfall overwhelms a city’s drainage capacity. It arrives within hours and recedes in days. Low-lying urban plots, basements, and ground-floor properties suffer the most. Most Indian cities have grown faster than their drainage networks, which means this kind of flood is becoming more common every year. Recent examples include Hyderabad 2020 (Musi flood), Chennai 2015, Mumbai 2005, and Bengaluru 2022.

Coastal or cyclonic flooding happens when storm surges from cyclones combine with high tides to push seawater inland. Coastal plots in Andhra Pradesh, Odisha, Tamil Nadu, West Bengal, and Kerala are most exposed. Saltwater also leaves the soil unusable for agriculture for 2–3 monsoon cycles afterward — a long-term cost that goes well beyond the immediate damage. Cyclone Fani in 2019 and Phailin in 2013 are recent examples.

Cloudburst or hill flooding is the deadliest type. Sudden, intense rainfall in hill regions triggers landslides and river bursts that can destroy entire properties without warning. Plots in Himachal, Uttarakhand, Kerala hills, Sikkim, and the Western Ghats are most exposed. Uttarakhand 2013, Kerala 2018, Himachal 2023, and Wayanad 2024 are recent examples — each one wiped out entire villages.

How floods damage land and structures

The visible water is only part of the story. Floods leave behind costs that show up months or years after the event:

  • Foundations. Standing water erodes soil around foundations and reduces bearing capacity. Repeated flooding leads to differential settlement, structural cracks, and eventually unsafe buildings.
  • Walls and plaster. Flooded walls absorb water for weeks after the visible flood has gone. Lime plaster fails, paint peels, and the embedded steel reinforcement starts corroding from within.
  • Electrical and plumbing. All below-flood-level wiring needs full replacement after a major flood. Wet wiring left in place becomes a fire hazard that persists for years.
  • Soil productivity. Coastal saline floods poison agricultural soil for years. Riverine sediment can either fertilize or contaminate the land, depending on what was upstream.
  • Property boundaries. When rivers change course during major floods, legal boundaries and ground reality stop matching. Revenue records may need to be re-surveyed before any sale.
  • Resale and lending. Banks, insurers, and serious buyers all check flood history. Once a plot has a flood record, that information stays attached to it — and shows up in every future due-diligence.

The hidden financial cost of flood-prone land

Flood risk doesn’t show up in a sale deed, a property listing, or a broker’s pitch. By the time you find out, the cheque is already cleared. The real cost of buying flood-prone land falls into four buckets:

Insurance and lending. Home insurance premiums for flood-prone parcels run 3–5× higher than for safe land — and some insurers refuse coverage entirely in NRSC-flagged zones. Banks reduce loan-to-value ratios, so a ₹1 crore plot may be sanctioned for only ₹60–70 lakhs. Lenders may also insist on additional structural inspections at the borrower’s cost.

Construction. Foundations on flood-prone land need plinth elevation 1.5–3 ft above the historical high-water mark, waterproof basements, and corrosion-resistant rebar. That alone adds ₹400–800 per square foot to structural cost. Drainage, slope grading, and damp-proofing add more — every monsoon, forever.

Resale. Plots that flooded in the last 5 years sell at 20–40% discount when they sell at all. Once a plot has a flood record, every future buyer’s due-diligence will find it. The discount becomes permanent.

Personal and family. The 2024 Andhra Pradesh floods damaged property worth over ₹3,000 crores across Krishna and Guntur. Crops, machinery, stored goods — gone in hours. Health risks from waterborne disease and mold persist for months. Flood-damaged homes typically need 6–12 months of rebuilding before they’re livable again.

Why historical flood data is the most reliable predictor

Flood models can predict future risk based on rainfall projections, but they remain estimates. Historical satellite observations show what actually happened. A plot that has flooded 4 times in the last 26 years will almost certainly flood again — the underlying topography, drainage, and proximity to water bodies don’t change quickly.

This is why insurance companies, banks, and revenue departments all use historical flood records as the primary screening tool for any new land transaction. This page gives you access to the same data they use, for free.

What do these numbers mean?

The result card shows two parallel views — what happened at your exact plot, and what happened in the surrounding area. Here’s how to read each metric.

Direct Hit
Did a recorded flood touch your exact plot boundary? This is the most important number. A direct hit means your specific land has flooded before — not just the area nearby.
Example: “Direct Hit · 4 events” means your plot has been inundated 4 distinct times since 1998.
Event Count
How many distinct flood events have touched this plot. Each event is a separate weather episode dated and digitised by NRSC.
Rule of thumb: 1 event = manageable; 4+ events = serious historical pattern, consider walking away.
Most Recent Flood
The date of the most recent flood event at your plot, and how many years ago. A flood from 2024 means the risk is current, not historical.
Example: “Last: Sep 2024 · 1 year ago” — this plot was underwater very recently.
Peak Site Inundation
In the worst single event, what percentage of your plot went underwater. Tells you the severity, not just the frequency.
Example: “Peak: 35% of site” means a third of your land flooded in the worst event.
Locality Flood %
Across your chosen search radius (1 km by default), what percentage has ever been inundated. Catches risk even when your specific plot is “clean”.
Example: 60% locality flooded but 0 direct hits means you’re on a small high spot in an otherwise risky area.
Nearest Water Body
Distance and type of the nearest river, lake, canal, or reservoir from your plot. A leading indicator even when there’s no recorded flood history.
Watch out: 100m from a river with no flood record on file should still be investigated locally.

How the analysis works

Three steps. Under two seconds. No setup.

1

You mark the plot

Draw the exact boundary on the map, drop a pin at the centre, or paste an address. Works for plots from 1 cent to 100 acres.

2

We check 26 years of satellite floods

Your plot boundary is compared against every flood event recorded by NRSC’s satellite imagery from 1998 through 2024 — that’s 118 distinct events across Andhra Pradesh and Telangana, plus a binary inundation map for the rest of India.

3

You see exactly what happened

A timeline of dated events, the percentage of your plot that flooded in each, the closest river, and a clear verdict from “Very Low” to “Very High” flood risk.

Methodology and data sources

We use government data, not models. Every flood polygon on our map was directly observed from satellite imagery by ISRO's NRSC.

Where the data comes from

The single source is the NRSC NDEM Flood Hazard Atlas — the National Remote Sensing Centre’s archive of satellite-observed flood inundation polygons, published through the National Database for Emergency Management.

NRSC NDEMISRO satellite1998 – 20241:50,000 scale

How we score risk

For every analysis, we check two things in parallel:

  • Location: Did any recorded flood polygon touch your exact plot (within a 100 m boundary)? This produces the “direct hit” verdict and the count of historical flood events at the parcel.
  • Locality: How much of your chosen search radius has ever been flooded? This catches risk in the surrounding area, even when your specific plot avoided historical floods.

Coverage and limitations

  • Andhra Pradesh and Telangana have per-event records with exact dates — 118 distinct flood events digitised.
  • Rest of India has only a binary inundation map — “this area has been flooded at some point between 1998 and 2022”, without per-event dates.
  • Urban flash flooding (e.g. Hyderabad Musi 2000) is generally NOT in the dataset — NRSC satellite passes don’t reliably detect short-duration urban floods.

Frequently Asked Questions

Where does the flood data come from?
We use the NRSC NDEM Flood Hazard Atlas — satellite-observed flood inundation polygons published by the National Remote Sensing Centre (ISRO) covering 1998 to 2024. It is the most authoritative public flood record for India.
Why doesn't Hyderabad's urban flooding (Musi 2000) show up?
NRSC satellite passes don't always detect short-duration urban flooding. Satellites take pictures on specific dates and times; a flash flood that arrived overnight and drained by morning may not be captured. The dataset is strong on rural and delta inundation but biased away from urban flash floods. For urban flood risk, also consult municipal drainage records.
What does "Direct Hit" mean exactly?
Direct Hit means at least one historical flood polygon overlapped a 100 m boundary around your drawn plot. We use 100 m as a small tolerance because satellite pixel boundaries can be slightly offset from ground truth. A direct hit is the strongest signal that this specific land has flooded before.
How accurate is this analysis?
The underlying data is satellite-observed and digitised by NRSC at 1:50,000 scale — accurate to roughly 25–50 m on the ground. It is what state disaster authorities and central agencies reference. The biggest source of inaccuracy is gaps in the data itself (events that satellites missed) rather than alignment error.
Can I use this for legal or insurance documentation?
The data is government-sourced and citable. The 1acre report you can generate provides a permanent timestamped record you can share with banks, insurers, or in legal proceedings. For court use, always also cite NRSC NDEM directly. We are not a substitute for a hydrological certificate from a licensed engineer.
Why is data for Andhra Pradesh and Telangana more detailed?
For these two states, NRSC has published per-event data — 118 distinct flood events with exact dates from 1998 to 2024. For the rest of India, only an all-events union ("this area has been flooded at some point") is available. We tell you which data tier your plot uses on every result.
What if my plot shows "No record" — does that mean it's safe?
"No record" means no NRSC-observed flood has touched the plot in 26 years of satellite data. That is a strong signal but not a guarantee. Pre-1998 floods, urban flash floods, and very small inundations are not in the dataset. Always cross-check with local revenue records and the nearest water body distance shown in your result.

© 2026 - 1acre.in - All Rights Reserved

LinkedIn iconYoutube iconInstagram icon