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Current & Historical
crop health data

Get current and historical crop health maps, based on satellite data & AI models.


Detect insurance fraud, spend less time finding damaged areas on fields or verify claims remotely without having to set foot in the field

Our partners


Automatic crop type detection and parcel delineation

Want to compare damages to another field?

Find fields close-by with the same crop type to compare the damages and access crop rotation data on a field level to assess whether correct crop rotation methodologies were implemented.


Crop health maps before and after the claim submission

Was the crop in good condition prior to the loss event?

Verify submitted claim remotely with just a few clicks for indemnity payouts without doing on-field loss adjustment.


If physical inspection is needed, having data of least and most damaged areas, will give a fast understanding of which parts of the field to take samples from.


Yield Estimation 2-3 months before harvesting

Our spatial yield prediction provides yield forecasts up to

2 months before harvest, predicting expected production, yield potential and synthesizing yield maps based on remote sensing data (Sentinel -1 & 2, meteo data and parcel meta-data including crop type, and soil parameters)

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Why us?


Independent of the weather

CropCop is one of the few experts in the world in using SAR - radar satellite data. Optical satellites can not see through clouds thus SAR is needed to fill the data gaps.



Satellites are built for scale and provide the most cost-efficient worldwide data for field analysis

Real-Time and Historical data

Timely data available in just a few clicks.  

Historical data is a key resource when gathering proof for correct indemnity calculations.



CropCop is a spinoff company from an observatory research group. One third of our team members are PhDs having delievered 5 successful projects to European Space Agency.


Contact us to learn more!

Let’s have a video call to find the best solution for you!

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