Question 1

How does BeetleSense detect bark beetle infestations?

Accepted Answer

We analyze multispectral satellite imagery (Sentinel-2) to detect changes in vegetation health indices like NDVI and moisture content. Our AI models, trained on thousands of confirmed infestations in Swedish forests, can identify stress patterns in spruce stands 2-4 weeks before visible symptoms appear.

Question 2

What satellite data do you use?

Accepted Answer

We primarily use Copernicus Sentinel-2 imagery providing free 10m-resolution multispectral data every 5 days. We also integrate data from Lantmateriet laser scanning (LiDAR), SMHI weather data and Swedish Forest Agency open datasets.

Question 3

How accurate are the AI detections?

Accepted Answer

BeetleSense fuses several independent signals — Sentinel-2 satellite imagery, weather and drought data, Skogsstyrelsen records, and where available ground and drone observations — into an indicative risk band rather than a single-number verdict. Every result carries a confidence level and shows the sources behind it, and detections are early-warning indicators to verify on the ground, not guaranteed diagnoses.

Question 4

Can I use BeetleSense offline in the forest?

Accepted Answer

Yes. Field mode lets you download maps and parcel data before heading into the forest. You can capture photos, GPS coordinates and observations offline. Everything syncs automatically when you get a connection again.