Deforestation detection

Monitor forest cover change early and at scale, with satellite-driven alerts that support compliance, risk control, and operational decisions.

Featured case study
detected deforestation powered by satellite image analysis
raw satellite image of the area before deforestation

How a deforestation detection solution supports your strategic goals

Spot forest loss

Core benefit:

Detect new forest clearings and canopy loss early to act before impacts spread.

Track harvest widely

Core benefit:

Gain a full view of any harvesting activity across concessions and suppliers.

Stay compliant

Core benefit:

Strengthen EUDR and internal ESG compliance through ongoing forest-loss records.

Secure land use

Core benefit:

Reduce operational risks by spotting hotspots and leakage into restricted areas.

Deforestation detection data delivered in formats you need

original datasets for deforestation detection

Original data layers

Receive GEOJSON / KML / SHP datasets and upload them wherever you want.

deforestation detection report by EOSDA

Decision-ready PDF report

Actionable report summarizing key findings for rapid response and easy sharing.

smart deforestation detection map

Interactive smart map

Cloud-based interactive map with 3D view for clear visualization and spatial analysis.

Typical project stages

1

Defining AOI, requirements, and KPIs

2

Selecting optimal imagery (optical, SAR, or hybrid)

3

Running baseline mapping and ML change detection

4

Validating, enriching, and prioritizing insights

5

Delivering data layers, a report, and a smart map on schedule

What sets our approach apart

Intelligence, not raw data

Get ready-to-use insights, not just raw layers, to make decisions on the fly.

Multi-sensor monitoring

Never miss critical changes thanks to smart optical and SAR coverage of 20+ constellations.

Global scale, fast rollout

Deploy quickly across regions to standardize monitoring and save time.

Flexible delivery and visualization

Access data in the way that fits your workflow: GIS layers, PDF reports, or 3D interactive maps.

Reusable ML/AI models

Get consistent, accurate detection across assets through proven ML/AI models.

End-to-end expert implementation

In-house science and GIS teams handle the full process for reliable results every time.

FAQ

Yes, in many cases. We combine time-series signatures, context layers, and event indicators to distinguish harvesting from fires, storms, or land clearing when imagery allows.

We detect forest-cover changes from near-real-time to planned update cycles, depending on AOI size, selected sensors, and cloud cover.

Yes, we use SAR imagery or hybrid acquisition to ensure consistent deforestation monitoring when clouds limit optical data.

The minimum detectable clearing depends on image resolution and forest structure. We tailor imagery selection to your required minimum mapping unit and acceptable risk level.

We ensure accuracy through baseline calibration, automated QA rules, cross-sensor verification, and expert review for high-impact alerts.

Yes, we provide a clear evidence trail — where, when, and how much forest loss occurred — to support internal reporting and external audits.