Sen4CAP Sentinels for CAP monitoring approach - Sen4CAP team European Space Agency, Earth Observation Directorate - Copernicus
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Sen4CAP Sentinels for CAP monitoring approach Sen4CAP team European Space Agency, Earth Observation Directorate ESA UNCLASSIFIED - For Official Use
Sentinels for Agricultural Dynamics Majority of Europe >2 day revisit Majority of Europe >3 day revisit S-1A & -1B- For ESA UNCLASSIFIED (July-Sept Official Use 2018) S-2A & -2B (July-Sept 2018) 24 MARS conference | 21/11/2018 | Slide th 2
Sen4CAP Evolution CzechAgri Request Sen4CAP KO EU Parliament User Consultation 2015/16 Jan 2017 Ref. Ares(2017)277720 - 18/01/2017 2017 2017 2017 EUROPEAN COMMISSION DIRECTORATE-GENERAL FOR AGRICULTURE AND RURAL DEVELOPMENT DIRECTORATE GENERAL FOR INTERNAL MARKET, INDUSTRY, ENTREPRENEURSHIP AND SME'S Directorate D. Direct support Space policy, Copernicus and Defence Directors Brussels, D3/BR/cj Ares(2016) 7830056 Subject: Cooperation between the European Commission and the European Space Agency (ESA) on the follow-up of the CzechAgri study Dear Mr Aschbacher, Both ESA and the European Commission have an interest in promoting and supporting the development of Earth Observation (EO) use and related capacity in Agriculture. We have taken great interest in the results of the CzechAgri study that was jointly initiated in December 2015 by ESA, DG JRC and SZIF (Czech Paying Agency) and successfully implemented thanks to ESA funding and a technical steering involving DG AGRI. Following these promising results, it would be extremely useful to further explore –in close cooperation with the European Commission– the capabilities of the Copernicus Sentinels in view of the current works on the modernisation and simplification of the CAP and the opportunities of EO from space for supporting the Integrated Administration and Control System (IACS). As you may know, technical solutions to improve and to make the IACS more cost efficient are high on the political agenda. A promising way forward is offered by the important potential of Sentinel/Copernicus for administration and control purposes, i.e. in a broader perspective than the current on-the- spot controls using remote sensing. Indeed, the ambition for the next programming period is greater, we also want the IACS to be a key tool in the delivery of enhanced environmental services and public goods. With this letter, we acknowledge and welcome ESA´s readiness to continue this effort by conducting two or three follow-up pilot studies to the CzechAgri project in preparation of the CAP 2020 reform together with the main stakeholders (DG AGRI, DG GROW and DG JRC) and the national Paying Agencies. 1st Evidence Checks by Monitoring 1st Demonstration Results Mr. Josef Aschbacher Director of Earth Observation Programmes European Space Agency Via Galileo Galilei Casella postale 64 00044 Frascati - Italy Commission européenne/Europese Commissie, 1049 Bruxelles/Brussel, BELGIQUE/BELGIË - Tel. +32 22991111 March 2018 May 2018 November 2018 ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 3
CAP Monitoring Approach – Technology meets Policy Sen4CAP Objectives: o Provide evidence how Sentinel derived information can support the modernization and simplification of the CAP in the post 2020 timeframe o Provide validated algorithms, products, workflows and best practices for agriculture monitoring relevant for the management of the CAP ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 4
Sen4CAP – Expertise, Technology & Collaboration Paying Agencies & Farmers Validated DG-Agri, JRC, DG-Grow Performance CAP2020 Reform National Cloud Demonstration EO Experts Technology (DIAS) ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 5
Sen4CAP Pilot Countries ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 6
From Satellites to Compliance - IACS use cases Use case Crop diversification Permanent grassland identification EFA-Land lying fallow EFA-Catch crops Use Cases w/ Paying 2 nd EFA-Nitrogen-fixing crops d intr iscussio Agencies e o sub duction n docu s TSC m proc titute O of mon ent on itori 201 ssing n the Land abandonment 8-2 app : rules g to 019 lic fo (dra ation f r ft) or t he DS/ Interactive visualization Wim CD Mile Devos no , P/2 Phili v, DomGuido pp 01 8 Le / 18 Alek e Loud inique moine sand ja Fa , ra Si ni, Cs sben Pavel ma, ab der, Patr a Wirn ick hard Grif fiths t, LPIS update Claimless system ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 7
Sentinel-based markers for CAP Monitoring Autumn barley Crop type mapping Vegetation growing Crop type information & vegetation growing indicators indicator Sunflower Grassland mowing detection Number of detected mowing events Agricultural practices monitoring ESA UNCLASSIFIED - For Official Use 24Physical th MARS conference markers | 21/11/2018 to monitor EFA agricultural practices | Slide 8
Parcel Level Implementation – New Approach Czech Republic • 5-m inner Netherlands Lithuania buffer 3% 0% 9% 0% 6% 0% • Parcels whose Parcels Area Parcels Area Parcels Area centroid is inside 97% 100% 91% 100% 94% 100% Italy Romania # of parcels 16% 11% 2% 36% Area Parcels 64% Area Parcels Area 84% 89% 98% ESA UNCLASSIFIED - For Official Use *based on crop diversification use case 24th MARS conference | 21/11/2018 | Slide 9
Monitoring of Agricultural Practices • IACS use case: Ecological Focal Area compliancy (5% area for farms >15ha) • based on S1&2 time series – 5 markers tracing crop activities Harvest Catch crop, Czech Republic Output: Harvest (per parcel) – Visual check • Harvest detection • Harvest week • Catch crop detection • Confidence level for Catch Crop compliancy period Winter Catch Crop – Visual check ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 10
HARVEST CATCH CROP PERIOD WINTER WHEAT HARVEST CATCH CROP PERIOD HARVEST CATCH CROP PERIOD SPRING WHEAT SPRING WHEAT ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 11
Crop type mapping for crop diversification monitoring Netherlands - National Scale High confidence in agreement Average confidence in agreement Observed crop type Weak confidence in agreement (2017) High confidence in disagreement 95% of parcels Full Resolution Visualization Online: ESA UNCLASSIFIED - For Official Use http://www.esa.int/spaceinimages/Images/2018/05/Crop_map 24th MARS conference | 21/11/2018 | Slide 12
Crop type mapping for crop diversification monitoring Castilla y Leon – « National Scale » Castilla y Leon - 2018 Observed crop type OA = 84% map (2018) 95% of total area ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 13
Crop type mapping for crop diversification monitoring Castilla y Leon – « National Scale » Observed crop type Agreement indicator Compliance indicator map (2018) at the parcel level at the holding level ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 14
Permanent Grassland Use Case (Czech Republic) Grassland mowing product consists in the detection of mowing events occurred on grassland parcels during the period of interest and in the assessment of their compliancy, according to the national regulations 0 National Czech Republic ✓ Parcel identifier 1 2 regulations ✓ Grassland Crop type At least 1 mowing or grazing within 31st July ✓ Number of mowing events (maximum 4) ✓ For each mowing event (up to 4): Compliancy level o Temporal interval in which the mowing event occurred (t_start and t_end) 0: Not assessed o Confidence level in terms of 1: Assessed and compliant because probability of right mowing (conf) a mowing occurred in the o Satellite mission data used for reference period detection of mowing (S1, S2 or both) 2: Assessed and not compliant o Compliancy level because no mowing occurred in the reference period ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 15
2018 – Status of production & parcel analysis • Evaluation of impact of parcel size and shape number of parcels assessed • Approach adopted: all parcels having at least 1 pixel whose centroid falls inside 5 meters buffer • Performance – preliminary 2018 results for NLD show >80% accuracy (2017 accuracy: NLD 88%, CZE 89%) • High heterogeneity of grassland phenology between different climate zones (e.g. NDL - ESP) Area Of EO input Total Parcels not Mean parcel area Total AOI area not Country Interest up to now Parcels (n°) assessed (%) not assessed (ha) assessed (%) NLD* 100 % country S2 404.975 0.3 % 0.8 ha 0.1 % CZE* 100 % country S2 323.269 0.03 % 1.3 ha 0.01 % S2 LTU 100 % country 402.160 0.1 % 0.9 ha 0.05 % S1 100 % of the AOI ITA* S2 277.603 17 % 0.01 ha 0.2 % (5 Regions) 100 % of the AOI ESP in progress 1.273.693 (Castilla Y Leon) ROU 100 % country in progress 2.080.995 * Statistics on NLD, CZE and ITA are based on products generated only on the basis of S2 data. They could be slightly overestimated ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 16
Preliminary 2018 results Grassland mowing detection - Lithuannia Based on S1 and S2 (only NDVI) Final version will also use S2 LAI and FAPAR 277.603 parcels of Grassaland • GPŽ, Pasture or meadow, perennial grass up to 5 years • DGP, Perennial pastures or meadows 5 years and more • GPA, Pasture or meadow, perennial grass up to 5 years, renewed in the current year • EPT, Extensive meadows grazing with livestock • NPT, Natural and semi-natural meadows • SPT, Specific meadows • 5PT-2, Extensive management of wetlands (direct payments are paid ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 17
Design of Sen4CAP processing system Sen4CAP Orchestrator Decomposition into tiles Automated Download Biophysical Indicators Processor Vegetation Status Biophysical Indicators Processor Indicators Node #1 Scheduled Scheduled Grassland Monitoring Processor Monitoring of Mowing Grassland Monitoring Processor Events Node #2 S2 L1C Time Triggered Scheduled Series Crop Type Map Processor Crop Type Atmospheric L2A Optical Map & Sentinel-Hub Corrections Time Series Crop Type Map Processor Extent Area Node #3 (MAJA) L8 L1T Time Scheduled Series Agricultural Agricultural Practices Monitoring Interactive RGB Practices Imagery and Simple Processor Triggered Agricultural Practices Monitoring Monitoring Idicators Processor Node #4 Indicators S1 Amplitude Scheduled S1 SLC Time SAR Pre- Coherence Series Time Series Processing In-situ Information & LPIS Triggered Simple Indicators for Visualization Simple Indicators for Visualization Node #5 ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 18
Towards uptake by Paying Agencies Integration of S1 & S2 images, EO products & markers in PA’s environment WMS providing RGB imagery and simple indicators o Easily integrated in PAs environment o S1, S2 & L8 images o Planet imagery visualization o Vegetation Indicators (NDVI, LAI, Fcover, FAPAR) o Time filtering o Configurable visualization o Reprojection to local coordinate systems o Customizable by country ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 19
Visualisation tool – Compliancy at parcel/farm level ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 20
Validation – performance across EU heterogeneity • In-situ data sets shared by Paying Agencies • LPIS/GSAA datasets, subsidy applications, physical inspections, CwRS • Dedicated In-situ data sets • farmer interviews – 250 to 500 fields surveyed by practices & country • Visual analysis of Planet time series (250-500 fields by practices & country) • Sampling heterogeneous EU agricultural landscape: • LPIS types: Cadastral (IT, ES), Physical Block (NL, LI, RO), Farmers Block (CZ) • Field sizes: Minimum: RO & IT 72-85% < 1ha, Maximum: CZ 66% > 1ha • Landscape & climate: wide geographical range • Validation results 2017 (2018 on-going): • crop type (OA): CZ 93%, ES 83%, IT 66%, LI 87%, NDL 96%, RO 71% • grassland (OA): CZ 89%, NDL 88% ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 21
Visual Validation - Grassland Mowing 3 May First Mowing Date 1: 07.05.2018 4 May 5 May 8 May ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 22
From National to European scale Czech Italy Europe Republic (indicative) Input EO data (2018-2019) 28 TB 100 TB 2 PB Output L2 data (2018- 34 TB 123 TB 2 PB 2019) Output L3 data (2018- 14 TB 50 TB 1 PB 2019) Processing & pre- 16 cores, 32 500 cores, 4 TB processing resources 128 GB cores,256 (ongoing) GB Distribution resources 8 cores, 64 16 cores, 96 50 cores, 352 TB (ongoing) GB GB ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 23
From Satellites to Compliance - Implementation Sentinel-1 & -2 EO products Use Cases w/ Paying Agencies In-situ data Cloud Technology (DIAS) ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 24
DIAS assessment and migration plans DIAS assessment: • Sen4CAP requirements definition • RFI document to the 5 DIAS-es • 2 weeks of services verification • Results: • Data availability/offer • Data access reliability • ICT performance Selection in progress to be ready end of 2018 for continuous processing in 2019 ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 25
Sen4CAP: An European Effort to prepare for CAP2020 • Open & operational Sentinel time series enable CAP monitoring approach • Interaction with PA operations for IACS implementation essential • Sen4CAP tools support automated, E2E monitoring at large scale • Cloud computing on DIAS will allow for national to European up-scaling • Open source approach for direct and customizable uptake & sharing • Hand in hand demonstration in 2019 together with Paying Agencies http://esa-sen4cap.org ESA UNCLASSIFIED - For Official Use 24th MARS conference | 21/11/2018 | Slide 26
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