Free satellite data for your farm — a beginner's guide to Copernicus and EOS

You've probably heard something about satellite imagery for farms. Maybe at a Teagasc meeting. Maybe you half-read an article and assumed it was for big tillage operations in France, not an 80-cow suckler farm in Roscommon.

The satellites are already overhead. They've been photographing your land every five days for years. And the data is free.

This guide explains what it is, how to access it, and what you can actually do with it.

---

What satellite data is — and what it isn't

The EU's Copernicus programme operates a fleet of satellites called Sentinel. Sentinel-2 is the one that matters for farming. It captures images of land surfaces at 10-metre resolution — roughly one pixel per 100 square metres.

That's not as precise as walking a field with a soil probe. But it covers your entire farm, every field, every five days, at no cost to you.

The data is collected and made free under EU law. The European Space Agency (ESA) distributes it openly. You don't need a subscription. You don't need to register your farm with anyone. You just need to know where to look.

What it gives you is a bird's-eye view of how your land is performing — not in photographs you'd recognise, but in data layers that show differences in plant health, moisture, and growth across your fields.

---

The two main ways to access it

There are two routes. One is the raw data direct from ESA. The other is through platforms that have already processed that data into something readable.

Option 1: Copernicus Open Access Hub (free, raw data)

This is ESA's own portal. You create a free account, draw a boundary around your farm, and download Sentinel-2 imagery. It's free and comprehensive.

The honest version: the raw files are large, technically formatted, and need software like QGIS (free) to open properly. If you're not comfortable with that kind of tool, you'll spend an afternoon getting lost. Skip to Option 2 first.

Option 2: EOS Crop Monitoring (free tier, processed)

EOS Data Analytics built a platform on top of Copernicus data. You draw your field boundaries on a map, and it shows you processed satellite imagery — colour-coded, dated, and ready to read. The free tier gives you access to historical imagery, NDVI maps (more on that below), and basic field analytics.

A paid subscription adds features like weather overlays and yield forecasting. But the free tier is a real tool, not a teaser. For most suckler farms, it's enough to get started.

---

Getting started on Copernicus Open Access Hub — step by step

If you want to try the raw data yourself:

1. Go to scihub.copernicus.eu and create a free account.
2. Use the map to navigate to your townland. Zoom in until you can see your farm.
3. Draw a rectangle over your land using the selection tool.
4. In the search panel, select Sentinel-2 Level-2A product type. This is the atmospherically corrected version — easier to work with.
5. Set a date range. Start with the past 60 days.
6. Filter by cloud cover — set maximum to 20%. Ireland is cloudy. This matters.
7. Download a tile. The file will be large (600MB–1GB typically).
8. Open it in QGIS (free download at qgis.org) to view the imagery.

Cloud cover is the main limitation. In a wet Irish winter, you might get two or three usable images in three months. Summer gives you better frequency — you can realistically get a clear image every two to three weeks between May and September.

---

Getting started on EOS Crop Monitoring — step by step

This is the faster route if you want something usable today:

1. Go to eos.com/products/crop-monitoring and sign up for a free account.
2. Create a new farm. Enter a name — your townland will do.
3. Draw your field boundaries on the map. Do this field by field — the more precise, the more useful your data.
4. Click into any field and select NDVI from the data layer menu.
5. Choose a date. The platform shows which dates have clear imagery for your area.
6. Read the colour map.

The colour map runs from red (low plant activity) through yellow to dark green (high plant activity). You're looking for fields or paddocks where part of the area shows consistently lower values than the rest.

---

What NDVI tells you — in plain English

NDVI stands for Normalised Difference Vegetation Index. That's the technical name. Here's what it actually means.

Plants absorb red light for photosynthesis. They reflect near-infrared light. Sentinel-2 measures both. NDVI is the ratio between the two — how much light the plants are reflecting versus absorbing.

High NDVI = lots of healthy green growth. Low NDVI = bare ground, poor growth, or stressed plants.

On a suckler farm with permanent pasture, NDVI gives you a map of how your grass is actually performing across your land — not how you think it is, not how it looked last time you drove past. What the satellites saw, week by week, across the season.

A typical paddock in good growth in May might return NDVI values around 0.6–0.8. Bare or heavily poached ground will sit below 0.3. If part of a paddock is consistently reading 0.2–0.3 lower than the rest of the field, something is different there — soil variability, drainage, rush infestation, compaction.

Satellite data won't tell you which. But it will tell you where to look.

---

What you can actually do with it on a beef farm

Spot underperforming paddocks before grazing season

Run an NDVI comparison across your fields in late March or early April. Fields that are slow to green up will show lower values. This tells you which paddocks may need attention before you rotate stock onto them — whether that's a drainage issue, a soil fertility gap, or simply a paddock that needs longer rest.

Track grass growth through the season

Pull a sequence of weekly NDVI images for the same field between April and September. You'll see growth flushes after rain, recovery after grazing, and — importantly — fields that aren't recovering as fast as they should. Teagasc's Grass10 programme publishes grass growth targets by region. You can cross-reference what you're seeing on the satellite with what the targets say you should be hitting.

Identify problem areas without walking every acre

If you run 80 cows across 50 hectares, you don't always have time to walk every field. A 10-minute satellite review can flag which paddocks look different from the rest. Then you go and walk those specific areas with purpose, not a general wander.

Build a seasonal record

One year of NDVI data tells you very little. Two years tells you something. Three years tells you which parts of your farm consistently underperform. That's the kind of information that should shape your soil sampling and fertiliser spend. Teagasc's precision agriculture guidance is worth reading alongside this.

---

The limitations — honest ones

Cloud cover. Ireland is not ideal satellite country. Between October and March, usable imagery for many areas is patchy at best. You'll get gaps. Plan for them.

10-metre resolution. Each pixel covers 100 square metres — roughly 10 metres by 10 metres. The data won't show you a single poached gateway or a small wet patch. It shows patterns across bigger areas.

It doesn't tell you why. Low NDVI tells you something is different. It doesn't tell you whether it's drainage, soil pH, compaction, or a shaded corner. You still need to go and look. The satellite points you in the right direction — it doesn't replace the walk.

Free tier limitations on EOS. The free account doesn't include real-time alerts or multi-field comparison tools. Those are in the paid tier, starting at around €15–20 per month. Not necessary to get started.

It's not a substitute for soil testing. If NDVI flags a problem area, the next step is a soil sample. Teagasc recommends sampling every four to five years. Satellite data tells you where to focus that effort — it doesn't replace the test.

---

Common questions

Do I need to register my farm with anyone to use this?

No. Copernicus data is publicly funded and publicly available. Creating a free account on ESA or EOS doesn't notify DAFM or any scheme body. Your field boundaries in EOS are visible only to you.

Will this work for smaller farms — say, 30 hectares?

Yes, though with caveats. At 10-metre resolution, smaller fields give you fewer data points. A two-hectare paddock is only 20 pixels wide. Patterns are still visible, but the finer the detail you're looking for, the less useful the data becomes. For a mixed grassland farm of 30 hectares with paddocks of varying size, you'll get useful information from the larger fields and less from the smallest ones.

Is there an AI tool that can interpret the satellite imagery for me?

Yes — this is one of the more practical use cases for AI tools on farms right now. You can export NDVI data from EOS or Copernicus, upload it to your AI assistant, and ask it to help you interpret the patterns — comparing fields, identifying anomalies, or cross-referencing with your grazing records. The AI tool doesn't have access to your land directly, but it can help you make sense of data you've already downloaded. The interpretation still needs your local knowledge to be useful.

---

The satellites aren't going anywhere. The data will keep coming every five days, whether you look at it or not. Spending an hour setting up an EOS account before the growing season starts is a reasonable use of a wet evening. It might show you nothing you didn't already know. Or it might show you a paddock that's been quietly underperforming for three seasons.

That's the thing about data you've never looked at. You don't know what's in it until you do.