DeforestationPeatland FireHabitat Fragmentation

Satellite Analysis for Borneo, Indonesia

Name: Satalyse
Author: Satalyse

Indonesian Borneo (Kalimantan) holds one of the world's oldest and most biodiverse tropical rainforests, but oil palm expansion and logging concessions have cleared over 30% of its forest cover since 1990. ESG funds, palm oil buyers, and conservation organisations use satellite change detection to verify no-deforestation commitments at the concession level.

0.53°, 114.08°

Equatorial humid with no true dry season, though El Niño years produce pronounced drought and extreme fire risk, captured clearly in NDVI anomaly detection.

What you can analyze here

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

Change Detection

POST /api/v1/satellite/detect-changes

Feature Extraction

POST /api/v1/satellite/extract-features

Anomaly Detection

POST /api/v1/satellite/detect-anomalies

Code example

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

borneo_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            [114.05, 0.5],
11            [114.11, 0.5],
12            [114.11, 0.56],
13            [114.05, 0.56],
14            [114.05, 0.5]
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 Borneo, Indonesia

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