Agriculture
Training data for yield, subsidy and crop-monitoring models.
01 // Industries
Who we label for.
Insurance
Labels for claims, catastrophe and risk models.
Forestry & environment
Evidence for EUDR due diligence and carbon reporting.
Government
Consistent maps for planning, monitoring and enforcement.
02 // Data
What we label.
Your imagery, free Copernicus data, or commercial imagery we buy for your project. Drag across each example to see it before and after labeling, or browse all label types.
RawLabeled
- Building28 boxes
- Road1 line
- Marina water2 polygons
Optical & aerial
Sub-metre satellite, aerial and drone RGB
Source: The Pearl-Qatar, ISS photograph ISS053-E-127736 (NASA JSC)
RawLabeled
- Irrigated field19 instances
- Water body1 polygon
- Built-up area1 polygon
- Road1 line
Multispectral
Sentinel-2, Landsat 8/9 and other VNIR–SWIR sensors
Source: Montana farmland, Landsat 8 OLI (NASA Earth Observatory / USGS)
RawLabeled
- Open waterriver + 4 lakes
- Flooded forest1 polygon
- Floating vegetation3 polygons
Radar (SAR)
Sentinel-1 and commercial SAR, day or night, through cloud
Source: Pacaya-Samaria, Peru, UAVSAR airborne radar (NASA/JPL-Caltech)
RawLabeled
- Crown > 15 m8 trees
- Canopy gap6 polygons
- Plot boundary1 polygon
Elevation & LiDAR
Airborne point clouds, DSM and DTM
Source: Tanana Valley, Alaska, G-LiHT airborne lidar (NASA Goddard)
- Segmentation masks
- Polygons
- Bounding boxes
- Time-series labels
- GeoJSON · GeoPackage · COG · COCO
03 // Questions
Satellite data labeling, explained.
What is satellite data labeling?
Satellite data labeling means marking what is in satellite or aerial images (field boundaries, crop types, floodwater, buildings, roads, forest loss) as polygons, masks, boxes or lines. Machine-learning models learn from these labels, and the same labels can be published as map layers. IKT Spīdolas does this work for teams in agriculture, insurance, forestry and government.
Which imagery do you work with?
Your own imagery; free Copernicus Sentinel-1, Sentinel-2 and Landsat scenes; or commercial very-high-resolution satellite imagery we buy for your project. We also label aerial and drone photos, radar (SAR) and airborne LiDAR.
What do I receive at the end?
The labels in the format your pipeline reads (GeoJSON, GeoPackage, Cloud-Optimized GeoTIFF masks or COCO) in your coordinate system, together with the written labeling guideline and the accuracy per class measured on a reviewed sample.
How is a project priced?
Per project. The price depends on the area, the number of classes, how many dates are needed and whether imagery has to be bought. You get a quote after a short call where we agree the class list.
Can you label something that is not on your list?
Yes. The 16 label types on this site are common requests, not a limit. Rooftop solar, ships in port, greenhouses, mining change or your own class scheme: we write a guideline for it and label to that guideline.
Who is IKT Spīdolas?
SIA IKT Spīdolas is a company registered in Rīga, Latvia (registration number 40203763365). Projects are run remotely, for clients in any country.
04 // Custom cases
Your case isn’t on the list? That’s normal.
Most projects need their own classes, sensor mix or target. Tell us what your model has to learn and we design the labeling around it.
- Rooftop solar panels
- Ships in port
- Illegal dumping sites
- Quarry & mining change
- Snow and ice cover
- Greenhouses
- Road surface condition
- Your own class scheme