Urban SprawlAgricultural StressDrought

Satellite Analysis for Nairobi, Kenya

Name: Satalyse
Author: Satalyse

Nairobi is among Africa's fastest-growing cities, expanding into surrounding agricultural and conservation buffer zones at a rate that is transforming the greater Nairobi ecosystem. Simultaneously, the wider East African region faces increasing drought frequency, making crop health and vegetation monitoring critical for food security applications.

-1.29°, 36.82°

Highland equatorial with bimodal rains (Mar–May and Oct–Dec) separated by distinct dry seasons, providing natural change-detection windows in multi-temporal NDVI analysis.

What you can analyze here

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

Change Detection

POST /api/v1/satellite/detect-changes

Feature Extraction

POST /api/v1/satellite/extract-features

Risk Scoring

POST /api/v1/satellite/score-risk

Code example

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

nairobi_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            [36.79, -1.32],
11            [36.85, -1.32],
12            [36.85, -1.26],
13            [36.79, -1.26],
14            [36.79, -1.32]
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 Nairobi, Kenya

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