Crop Drought StressFlash FloodingLate-Season Frost

Satellite Analysis for Iowa, USA

Name: Satalyse
Author: Satalyse

Iowa is the geographic heart of the US Corn Belt, producing more corn than any other state and ranking among the world's most agriculturally productive regions. Agtech platforms, crop insurance underwriters, and commodity traders use satellite-derived NDVI and moisture indices to monitor crop stress, forecast yield deviations, and assess drought impact at field level.

41.88°, -93.10°

Humid continental with warm growing seasons (May–Sep) and variable precipitation, periodic drought years create significant inter-season NDVI variability that temporal analysis captures clearly.

What you can analyze here

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

Feature Extraction

POST /api/v1/satellite/extract-features

Change Detection

POST /api/v1/satellite/detect-changes

Risk Scoring

POST /api/v1/satellite/score-risk

Code example

This snippet is pre-filled with Iowa, USA's coordinates and calls the Feature Extraction endpoint.

iowa_analysis.py

1"color:#c084fc">import requests
2"color:#c084fc">from datetime "color:#c084fc">import date
3
4response = requests.post(
5    "https://api.satalyse.dev/api/v1/satellite/extract-features",
6    headers={"Authorization": "Bearer sat_sk_live_..."},
7    json={
8        "geometry": {
9            "type": "Polygon",
10            "coordinates": [[
11            [-93.13, 41.85],
12            [-93.07, 41.85],
13            [-93.07, 41.91],
14            [-93.13, 41.91],
15            [-93.13, 41.85]
16            ]]
17        },
18        "measurement_date": "color:#c084fc">str(date.today()),
19        "features_requested": ["vegetation", "water", "temperature"]
20    }
21)
22
23data = response.json()
24veg = data["features"]["vegetation"]
25"color:#c084fc">print("color:#c084fc">f"NDVI: {veg['NDVI']['value']:.3">f}")
26"color:#c084fc">print("color:#c084fc">f"Health score: {data['health_score']['overall']}/100")

Data sources used for Iowa, 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