Hurricane SurgeFlash FloodingSaltwater Intrusion

Satellite Analysis for Florida, USA

Name: Satalyse
Author: Satalyse

Florida faces the highest hurricane-related property loss exposure of any US state, with storm surge inundation extent varying dramatically by track and intensity. Satellite change detection before and after named storms is now a primary verification tool for adjusters handling large-volume coastal claims, and flood risk scoring is embedded in mortgage and insurance underwriting workflows statewide.

25.77°, -80.19°

Subtropical humid with a pronounced hurricane season (Jun–Nov); high base flood risk from low elevation, porous limestone substrate, and proximity to warm Atlantic waters.

What you can analyze here

The Satalyse API covers every major satellite analysis type for Florida, USA. 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 Florida, USA's coordinates and calls the Risk Scoring endpoint.

florida_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            [-80.22, 25.74],
11            [-80.16, 25.74],
12            [-80.16, 25.8],
13            [-80.22, 25.8],
14            [-80.22, 25.74]
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 Florida, USA

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