Ordering a Field

This page covers everything about getting a field into the system: how to define its boundary, what size limits apply, how to order multiple dates at once, and how historical analyses are priced differently from recent ones.

You place orders from orders.siora.ai.

Defining your field

There are three ways to put a field on the order map:

Draw it directly

Click the map and trace the field boundary. You can draw multiple polygons in one order (useful for fields split by a road, river, or hedgerow): they’ll be treated as one field for analysis. Click a finished polygon to remove it.

Upload a shapefile

Upload a .zip archive containing a shapefile (.shp, .shx, .dbf together). The system reprojects to WGS84 automatically if your file uses a different coordinate system. If the archive contains multiple shapes, you’ll get a selector to pick which ones to include.

Pick a saved field

Once you’ve placed at least one order, your fields are saved automatically. On future orders, just pick one from the dropdown and the geometry is filled in for you.

Field size limits

If your field is larger than 1,000 ha, split it into separate orders or contact us for enterprise handling.

Coverage area

Orders are currently supported across Europe, including Ukraine. If you draw a field outside this region, you’ll get a warning at order time. Calibration outside Europe has not been validated, so results from those regions are not officially supported.

Picking the analysis date

You can pick up to 6 analysis dates in one order. Each date produces its own complete report, and they’re all viewable in the same interface via a date slider.

A few rules on dates:

• Earliest available date: 1 January 2020. The model relies on Sentinel-2 imagery, which has reliable global coverage starting from then.
• Latest available date: today. You can’t pick a future date.
• Recent vs historical pricing: dates within the past 12 months are priced at the standard rate. Dates older than 12 months are charged at a lower historical rate (see pricing).

When should you pick a date?

The model works year-round and there’s no enforced seasonal restriction. That said, the analysis works best when there’s bare or lightly vegetated soil visible to the satellite, because dense crop canopy hides the surface. In practice, the most informative dates are early spring before crop emergence, after harvest in late summer or autumn, or any window where the field is fallow.

If you’re tracking change over time, pick dates from comparable points in the rotation (e.g. post-harvest each year) so you’re comparing like with like.

Multiple polygons and field clusters

If your field consists of multiple disjoint polygons, the system splits them into clusters automatically. Each cluster gets its own tab in the report, and the data table, heatmaps, and charts are computed per cluster. You order them as one field and pay one combined price based on total area.

Region restrictions for partner accounts

If you’re using Siora through a partner account, your partner organisation may have configured a specific region (a country, province, or custom area) where orders are allowed. Fields outside that region will be rejected. Contact your partner administrator if you need access expanded.

What happens after you submit

1. Payment is processed via Stripe. You’ll receive an emailed invoice immediately.
2. Your order enters the queue and starts processing within seconds.
3. Satellite imagery is pulled for the 8 months before each analysis date, cloud-masked and composited. See Methodology for the full pipeline.
4. The model runs and the report is built.
5. You get an email with a link to the finished report. For typical field sizes, this takes a few minutes per analysis date.

If something goes wrong (a date with too much cloud cover, for example), the report page will tell you which date failed and why. There’s no automatic retry: contact support if you need a re-run.

Next steps

• The report: how to read each tab once your order is ready.
• Soil properties: what each value means and how to interpret the labels.