Peri-Urban DeforestationUrban FloodingLand Conversion

Satellite Analysis for Kinshasa, DRC

Name: Satalyse
Author: Satalyse

Kinshasa is the world's largest French-speaking city and sits at the edge of the Congo Basin, the world's second largest tropical rainforest and a critical global carbon sink. Urban growth is pushing into peri-urban forest and agricultural margins at rates now detectable by satellite, while the broader Congo Basin requires continuous monitoring for international REDD+ and carbon credit programmes.

-4.32°, 15.32°

Equatorial humid with bimodal rainfall (Sep–Nov and Mar–May); frequent cloud cover requires multi-image composite approaches for consistent optical imagery.

What you can analyze here

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

Change Detection

POST /api/v1/satellite/detect-changes

Anomaly Detection

POST /api/v1/satellite/detect-anomalies

Code example

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

kinshasa_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            [15.29, -4.35],
11            [15.35, -4.35],
12            [15.35, -4.29],
13            [15.29, -4.29],
14            [15.29, -4.35]
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 Kinshasa, DRC

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