Typhoon FloodingUrban RunoffCoastal Erosion

Satellite Analysis for Shenzhen, China

Name: Satalyse
Author: Satalyse

Shenzhen transformed from a fishing village to a city of 18 million in under 40 years, a rate of urbanisation that has been studied globally as a benchmark for satellite-measurable land cover change. The Pearl River Delta region also faces significant coastal flood risk from typhoon activity and rising sea levels, making combined change detection and risk scoring critical for infrastructure investment decisions.

22.54°, 114.06°

Subtropical monsoon with a wet season (Apr–Sep) and typhoon exposure Jun–Oct; clear winter skies offer optimal satellite imagery acquisition windows.

What you can analyze here

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

Change Detection

POST /api/v1/satellite/detect-changes

Risk Scoring

POST /api/v1/satellite/score-risk

Anomaly Detection

POST /api/v1/satellite/detect-anomalies

Code example

This snippet is pre-filled with Shenzhen, China's coordinates and calls the Change Detection endpoint.

shenzhen_analysis.py

1"color:#c084fc">import requests
2
3response = requests.post(
4    "https://api.satalyse.dev/api/v1/satellite/detect-changes",
5    headers={"Authorization": "Bearer sat_sk_live_..."},
6    json={
7        "geometry": {
8            "type": "Polygon",
9            "coordinates": [[
10            [114.03, 22.51],
11            [114.09, 22.51],
12            [114.09, 22.57],
13            [114.03, 22.57],
14            [114.03, 22.51]
15            ]]
16        },
17        "start_date": "2024-01-01",
18        "end_date":   "2025-01-01",
19        "sensitivity": "medium"
20    }
21)
22
23data = response.json()
24changes = data["changes_detected"]
25"color:#c084fc">print("color:#c084fc">f"Changed area: {changes['total_change_area_km2']} km²")
26"color:#c084fc">print("color:#c084fc">f"Change type:  {changes['change_type']}")
27"color:#c084fc">print("color:#c084fc">f"Confidence:   {changes['confidence_avg']:.0%}")

Data sources used for Shenzhen, China

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