Sea Level RiseStorm SurgeRiver Flooding

Satellite Analysis for Amsterdam, Netherlands

Name: Satalyse
Author: Satalyse

Two-thirds of the Netherlands lies below sea level or in floodplains, a geography that makes it one of the world's most sophisticated flood management states and a natural reference market for flood risk technology. Satellite-derived surface water extent, subsidence mapping via temporal analysis, and pre-event flood risk scoring are central to Dutch infrastructure planning and financial risk assessment.

52.37°, 4.90°

Temperate oceanic with frequent rainfall year-round and storm surge risk during North Sea winter low-pressure events.

What you can analyze here

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

Risk Scoring

POST /api/v1/satellite/score-risk

Change Detection

POST /api/v1/satellite/detect-changes

Anomaly Detection

POST /api/v1/satellite/detect-anomalies

Code example

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

amsterdam_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            [4.87, 52.34],
11            [4.93, 52.34],
12            [4.93, 52.4],
13            [4.87, 52.4],
14            [4.87, 52.34]
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 Amsterdam, Netherlands

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