Weekly Crop Performance Updates
Cloud or No Cloud
Get the full picture of field, farm and regional performance with consistent land intelligence that doesn't stop when visibility drops.
Introducing AspiaClearSky™
AspiaClearSky™ provides detailed weekly observations that show how crops are growing and how conditions are changing across every field, farm and region.
These observations give digital agronomy leaders a regular, repeatable way to understand performance, detect changes early and benchmark growing data geographically and chronologically.
Being able to access reliable observations that are not dependent on cloud-free days gives agricultural leaders a consistent data source to monitor and compare granularly field-by-field, or on a regional and national scale.
What You Get
These capabilities are delivered through regular, reliable observations that are not dependent on cloud-free days. One consistent data source to monitor and compare at the sub-field, field, farm, regional and national scale.
A consistent week-by-week view of crop performance.
A clear view of the strongest and weakest performing areas within each field.
Data on crops changes between observations, for earlier detection of growth shifts or stress.
Field performance monitoring against seasonal and multi-year baselines.
Accurate comparisons between each season’s crop vigour and biomass for context on current performance.
Faster detection to check establishment during planting windows, using early-season behaviour.
How AspiaClearSky™ Works
- Define Your Fields, Farms and Regions
Share the areas you want to monitor. This can be individual field boundaries or national-scale portfolios. AspiaClearSky™ begins delivering observations immediately.
- Receive Weekly Observations
Aspia Vigour provides reliable, consistent NDVI and GCVI observations every week, regardless of cloud cover. Each update shows key land development changes.
- Compare, Prioritise and Act on Land Data
See which fields are ahead, behind or changing fastest. Compare performance across farms and regions. Use the evidence to guide advisory discussions, plan interventions and understand portfolio-wide behaviour.
Challenges Agriculture Leaders Face
- In the growing season, cloud cover leaves teams uncertain about key changes.
- Key decisions are made from a single cloud-free image, with no insight into which areas needs ongoing attention.
- Cloud movement means analysis is always based on isolated snapshots in time, so changes are hard to spot.
- Regional leaders can’t see a portfolio-wide view. Their only consistent information comes from in-field staff.
- Remotely sensed data is used to support a single decisions rather than aggregating data to inform long-term decision-making.
How AspiaClearSky™ Solves Them
Weekly observations provide regular, cloud-free views of every field during critical intervention periods.
Teams can quantify change, track development and compare fields using consistent data from one source of truth.
Fields, farms and regions can be compared objectively using one consistent method.
Ag-retailers gain visibility beyond the frontline, so insights are shared across advisors, growers and regions.
AspiaClearSky™ data becomes actionable intelligence. It can be aggregated, tracked across dates and used to support planning and advisory conversations.
Best Fit For
AspiaClearSky™ is designed for organisations responsible for land performance at scale, where decisions depend on consistent, reliable evidence.
It’s best suited to advisory businesses, agronomy platforms and land-focused teams managing performance across many growers, farms or regions. Teams that need continuous visibility through the season to plan, benchmark and prioritise action, and leaders accountable for delivering efficient, data-driven advice services.
May Not Fit
AspiaClearSky™ may not be the right fit for teams looking for one-off visuals or field-level tools rather than a consistent land-intelligence foundation.
If your work is limited to single-field analysis, manual interpretation or occasional imagery without the need to compare performance at scale or apply evidence across advisory teams, this might not be the right solution for your business.
FREQUENTLY ASKED QUESTIONS
Is AspiaClearSky™ the same as optical imagery?
AspiaClearSky™ is not optical imagery, although we produce 10-band multispectral equivalents that can be used to recreate RGB and generate familiar indices such as NDVI, GCVI and others in the same format advisors use today.
These outputs help integrate with existing workflows, but they are not intended to be pixel-identical to optical. The true value lies in the consistency and continuity of the observations.
Why does AspiaClearSky™ sometimes look different from optical NDVI?
Optical NDVI is affected by cloud, haze, shadow, sun angle and atmospheric conditions. AspiaClearSky™ generates NDVI from a radar-derived model that removes distortions, so the observations are stable every week. Differences do not indicate an issue. The benefit is reliability and interpretability, not replication.
Should I compare AspiaClearSky™ directly to an optical NDVI image to judge accuracy?
No. Direct visual comparison is not the right test because optical NDVI is itself inconsistent and often distorted by atmospheric conditions.
The appropriate comparison is whether AspiaClearSky™ allows you to track change, detect anomalies and make decisions reliably through the season. That is where the performance gains come from.
If it is not optical, how can I trust the indices?
AspiaClearSky™ translates radar observations into self-consistent synthetic multi-spectral optical-infrared imagery. Think of it like a “virtual satellite”. This allows us to create familiar remote sensing indices using data generated from radar imagery.
We use the same method every time, which makes them comparable across dates, fields, farms and regions. Consistency enables data driven agronomy. Our method is patented and the outputs extensively tested by users across millions of hectares.
Does AspiaClearSky™ replace optical imagery?
No. Optical images are still valuable for visual context when available. AspiaClearSky™ strengthens them by filling the large gaps caused by cloud and by providing a stable basis for comparison and portfolio analysis.
What is the real advantage if you can already produce NDVI like everyone else?
The advantage is not the index. It is the ability to use NDVI and other indices consistently, continuously and at scale. Aspia Vigour allows you to detect anomalies, compare fields objectively, track changes every week and make decisions based on evidence rather than irregular snapshots.
This is about overcoming the incompleteness issue in traditional optical approaches; without AspiaClearSky™ you are missing information.
I have heard of other cloud-free solutions out there – what makes you different?
There are other approaches to creating cloud-free optical images. One technique averages imagery over long periods of time to create a composite view where the clouds are ignored. This approach loses temporal information, so the ability to track change is lost. These images are generally seasonal averages.
Fusion techniques are another approach, bringing together multiple sources of optical data and blending them consistently. Unfortunately, for periods of extensive cloud-cover, this technique breaks down – if there is no optical imagery available at all, fusion cannot deliver.
AspiaClearSky™ uses purely radar data as an input, meaning reliability, regularity and no loss of performance even in periods of persistent cloud cover.
Can I use AspiaClearSky™ alongside my existing platform?
Yes. Aspia is designed to slot into existing agronomy and ag-tech systems. For example, Agrii UK uses it alongside optical in their Contour platform to maintain a continuous view of crop development.
The Data You Need to Make The Right Call Faster
See how AspiaClearSky delivers weekly observations that remove uncertainty, support confident decisions and strengthen advisory impact at scale.
Get a clear, consistent view of land performance across every field, region and season.