European Data Spaces – Earth Observation exploitation platforms – a business perspective Florin Șerban (Managing Director, Terrasigna)

1. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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This project has received funding from
the European Union’s Horizon 2020
research and innovation programme
under grant agreement No 732064
This project is part
of BDV PPP
DATABIO PILOT – AGRICULTURE PILOT
Olimpia Copăcenaru, Cristian Flueraru, Dr. Florin Șerban
Terrasigna SRL, Managing Director

2. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
2
New innovative approach
developed by
ROMANIA – CAP SUPPORT MONITORING
Continuous developments and
improvements over the last 4 years
Version v.05 of the algorithm

3. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
3
The general methodology is based on
the comparison between real crop
behavior and the expected trends for
each crop typology.
It involves image processing, data
mining and machine learning
techniques and is based on different
categories of input data: Sentinel-2
and Landsat-8 SITS covering the time
period of interest, farmers’
declarations of intention with respect
to crops types, as well as in-situ / field
data.

4. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
4
Under the framework of the DataBio project,
Terrasigna ran CAP support monitoring
service trials during 2017, 2018 & 2019
for 10 000 sqkm AOI
in Southeastern Romania.
The final results are observed crop maps and
compliance maps of discrete levels of trust.
The level of trust can be expressed at pixel or
parcel level. Low levels of trust means that,
from the algorithm’s point of view, the
location (pixel or parcel) was cultivated with
a different crop than the declared one.
A high level of trust means that the observed
crop matches the declared one.

5. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Observed crop types map Classification confidence index Crop compliance map
Sentinel-2 natural colors composite – 27.04.2018 Sentinel-2 natural colors composite – 31.07.2018 Sentinel-2 natural colors composite – 27.09.2018

6. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
6
For the 2018 agricultural year, Terrasigna
monitored the CAP declarations for the
entire agricultural area of Romania.
The total surveyed area exceeds
9 milion ha, corresponding to more than
6 milion plots of various sizes and shapes.
The necessary Earth Observation (EO)
data required multiple Sentinel-2 scenes
projected in 2 UTM zones.
21% of the total number of plots within
the test areas have surfaces below 1 ha.

7. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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The observed crop types map for the 2018
agricultural year includes
32 crops,
summing more than 98% of the total
declared area.

8. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Validation using reference data
97.28% for 32 crops,
Based on 16.000+ plots,
60.000+ ha

9. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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Independent validation results
(validated against VHR imagery,
Sentinel-2 and other data sources)
98.3% correct estimations
for 8 crop categories
Increased performance for
larger plots

10. This document is part of a project that has received funding
from the European Union’s Horizon 2020 research and innovation programme
under agreement No 732064. It is the property of the DataBio consortium and shall not be distributed or
reproduced without the formal approval of the DataBio Management Committee. Find us at www.databio.eu.
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• Highly-automated, cost- and time-saving approach
• Solid results supported by the results of the validation campaigns
• More field campaigns (2019 - 2020)
• Harmonization with the official workflows
• Fine tuning for the continuation of the implementation at national-scale level
• New trials in other countries / geographical areas
CONCLUSIONS & PERSPECTIVES