Monsoon FloodingCoastal Storm SurgeUrban Sprawl

Satellite Analysis for Mumbai, India

Name: Satalyse
Author: Satalyse

Mumbai is one of the world's most flood-exposed megacities, built on reclaimed land, surrounded by sea, and receiving over 2,400 mm of monsoon rainfall annually. Coastal inundation mapping, storm surge extent verification, and urban infrastructure risk scoring are all direct applications of the Satalyse API for insurers, banks, and city authorities operating here.

19.07°, 72.87°

Tropical monsoon with an extreme wet season (Jun–Sep) during which the city regularly receives its annual rainfall equivalent in just four months.

What you can analyze here

The Satalyse API covers every major satellite analysis type for Mumbai, India. These endpoints are most relevant for this location:

Risk Scoring

POST /api/v1/satellite/score-risk

Change Detection

POST /api/v1/satellite/detect-changes

Code example

This snippet is pre-filled with Mumbai, India's coordinates and calls the Risk Scoring endpoint.

mumbai_analysis.py

1"color:#c084fc">import requests
2
3response = requests.post(
4    "https://api.satalyse.dev/api/v1/satellite/score-risk",
5    headers={"Authorization": "Bearer sat_sk_live_..."},
6    json={
7        "geometry": {
8            "type": "Polygon",
9            "coordinates": [[
10            [72.84, 19.04],
11            [72.9, 19.04],
12            [72.9, 19.1],
13            [72.84, 19.1],
14            [72.84, 19.04]
15            ]]
16        },
17        "asset_type": "agricultural",
18        "location_context": "rural",
19        "risk_factors": ["flood"],
20        "time_horizon_days": 365
21    }
22)
23
24data = response.json()
25"color:#c084fc">print("color:#c084fc">f"Risk score:  {data['overall_risk_score']}/100")
26"color:#c084fc">print("color:#c084fc">f"Risk level:  {data['overall_risk_level']}")

Data sources used for Mumbai, India

Source	What it provides	Resolution
Sentinel-2	Multispectral optical imagery (NDVI, land cover)	10 m
Landsat 8	Long-term land surface reflectance and temperature	30 m
MODIS	Daily global coverage, fire, vegetation anomalies	250 m – 1 km
SRTM	Digital elevation model, terrain, slope, aspect	30 m
CHIRPS	Historical and near-real-time precipitation estimates	5 km
JRC Global Surface Water	Water presence history and seasonal flood extent	30 m