DroughtWildfireHurricane Flooding

Satellite Analysis for Texas, USA

Name: Satalyse
Author: Satalyse

Texas is simultaneously the US's largest agricultural producer, one of its most wildfire-prone states, and home to Houston, the US city most repeatedly devastated by hurricane flooding. Satellite applications span crop health across the Texas Panhandle, drought risk scoring for livestock and row crop operations, wildfire hazard assessment for property insurers, and post-hurricane damage verification for billions in claims.

30.27°, -97.74°

Highly variable, subtropical humid in the east, semi-arid in the west; winter storms, summer drought, and hurricane seasons create year-round satellite monitoring requirements.

What you can analyze here

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

Risk Scoring

POST /api/v1/satellite/score-risk

Feature Extraction

POST /api/v1/satellite/extract-features

Change Detection

POST /api/v1/satellite/detect-changes

Code example

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

texas_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            [-97.77, 30.24],
11            [-97.71, 30.24],
12            [-97.71, 30.3],
13            [-97.77, 30.3],
14            [-97.77, 30.24]
15            ]]
16        },
17        "asset_type": "agricultural",
18        "location_context": "rural",
19        "risk_factors": ["wildfire"],
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 Texas, 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