DeforestationIllegal Land ClearanceBiodiversity Loss

Satellite Analysis for Colombian Amazon

Name: Satalyse
Author: Satalyse

Post-conflict land rush in the Colombian Amazon has accelerated deforestation since 2016, armed group territories that once inadvertently protected forest are being cleared for cattle ranching and coca cultivation at rates now tracked by government, NGOs, and international climate funds using satellite change detection. Environmental compliance monitoring under international biodiversity agreements depends directly on reliable satellite evidence.

0.87°, -75.28°

Equatorial humid with rainfall year-round and no meaningful dry season, cloud cover is the primary constraint on optical satellite imagery frequency, which Satalyse mitigates via multi-image compositing.

What you can analyze here

The Satalyse API covers every major satellite analysis type for Colombian Amazon. 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 Colombian Amazon's coordinates and calls the Change Detection endpoint.

amazon_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            [-75.31, 0.84],
11            [-75.25, 0.84],
12            [-75.25, 0.9],
13            [-75.31, 0.9],
14            [-75.31, 0.84]
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 Colombian Amazon

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