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Joint GWP CEE/DMCSEE training: Copernicus Land Monitoring Services for drought analysis by Roel Van Hoolst

Joint GWP CEE/DMCSEE training: Copernicus Land Monitoring Services for drought analysis by Roel Van Hoolst

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Joint GWP CEE/DMCSEE training: Copernicus Land Monitoring Services for drought analysis by Roel Van Hoolst

  1. 1. Global Land Service Operated through a consortium, lead by Copernicus Land Monitoring Services for drought analysis Bruno Smets, Roel Van Hoolst VITO
  2. 2. Overview of Copernicus Copernicus Space Component European Space Agency (ESA) Sentinel & contributing satellite missions, ground segments In-situ Component European Environment Agency (EEA) land, air and water monitoring sensors Service Component European Commission (EC) Land Marine Atmosphere Emergency Security Climate change
  3. 3. Global Land Service •Support and consolidate: –EU contribution to GEO/GEOSS –EU policies at international level •e. g. Climate and Development policies –EU commitments under international treaties and conventions •e. g. UN “Rio” conventions: UNFCCC, UNCCD, UNCBD •EU Policy focus: –Crop Monitoring and Food security in/outside Europe –Biodiversity, Protected areas and Forest cover monitoring –Drought Assessment and Desertification –Carbon modeling, land use and land cover change –Support to Earth Observation African Activities
  4. 4. 4 Sustainable roadmap SPOT-VEGETATION 1 SPOT-VEGETATION 2 METOP-A METOP-B PROBA-V SENTINEL-3A 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 METOP-C SENTINEL-3B SENTINEL-1A SENTINEL-1B GIO COPERNICUS OPERATONS R&D H2020 R&D FP6, FP7 PROBA-V follow up services space
  5. 5. 5 Portfolio 2014 Variable Temporal Coverage Temporal resolution Spatial coverage Spatial resolution Sensor Timeliness LAI/FAPAR/FCover 1999 – present 10 days Global 1km SPOT/VGT PROBA-V 3 days 2014 – present 10 days* Europe 333m PROBA-V 3 days NDVI/VCI/VPI 1999 – present 10 days Global 1km SPOT/VGT PROBA-V 3 days Dry Matter Productivity 2009 – present 10 days Global 1km SPOT/VGT PROBA-V 3 days Burnt Area 1999 – present 1 day Global 1km SPOT/VGT PROBA-V 3 days TOC Reflectance 2013 – present 10 days Global 1km SPOT/VGT PROBA-V 3 days Surface Albedo 1999 – present 10 days Global 1km SPOT/VGT PROBA-V 3 days Land Surface Temperature 2009 – present 1 hour 10 days* Global 0.05°  Geo 1 day Soil Water Index 2007 – present 1 day 10 days* Global 0.1° Metop / ASCAT 1 day Water bodies 1999 – present 10 days Africa Global* 1km SPOT/VGT PROBA-V 3 days * Coming soon
  6. 6. Quality Control •Self-assessment by Consortium#1 –Technical product quality –Scientific product quality •Quality Assessment (CEOS LPV) •Quality Monitoring, incl. cross-cut –Service quality •Independent assessment by Consortium#2 –Audit –Reviews –Technical user group
  7. 7. Documentation
  8. 8. Product access •Data policy: –Follows Copernicus policy: free and open access •Internet access –Access to NRT + full archive –Anonymous query –Simple (automated) registration to access data •Satellite broadcast (EUMETCast) –NRT
  9. 9. 9 Copernicus Global Land Service
  10. 10. 10 Copernicus Global Land Service
  11. 11. Crop monitoring information support •Qualitative analysis -Highlight areas with anomalies -Reduce the field of investigation of the ground truth. -Convergence of evidence with different sources of information (RS and field network) •Quantitative analysis - Yield forecast •Impact analysis -Quantify the extension of an anomaly -Area, villages, population, production
  12. 12. Demonstration of the use of Copernicus product •Generate standard crop monitoring analysis products from Copernicus Land service data. •Preliminary test made with fAPAR monthly composite •Over Slovenia •Using the JRC free software SPIRITS
  13. 13. Post-Processing Software: SPIRITS •JRC-VITO development: Software for the Processing and Interpretation of Remotely Sensed Image Time Series •All tools to exploit RS time series & to make agro- meteorological bulletins •Freely available, incl. Manual & Tutorials •Many users: VITO, JRC, FAO, WFP, Africa •Training sessions (± 50 so far)
  14. 14. The challenge of information analysis The analysis support products •MAP analysis over Slovenia - fAPAR evolution and anomalies - Return frequency of fAPAR anomalies - Cluster analysis •GRAPH analysis per admin/land use - fAPAR profil evolution - at admin level 1 and 2 - over agriculture or forest/natural zones
  15. 15. The challenge of information analysis The reference data set •Analysis made at statistics region and districts •Through GLC2006 agriculture area
  16. 16. MAPs analysis protocols in SLOVENIA fAPAR 1 dekad at a time N dekads at a time ANOMALIES Cluster VALUE Cluster Relative difference Return frequency
  17. 17. Ten day fAPAR Visualize the vegetation development extension Need to display all the time series to get the time evolution 10 day fAPAR data
  18. 18. Ten day fAPAR anomalies Visualize the vegetation development anomalies (stress, drought) Difficult to identify area with persistent anomalies
  19. 19. Ten day fAPAR anomalies Introduce another way to measure the anomalies Use return frequency value
  20. 20. Cluster analysis of fAPAR evolution over AGRICULTURE space and time synthesis combine start/duration/intensity/extension of fAPAR values focus on land use (here “agriculture”) - Low fAPAR + 1 2 3 4 5 high fAPAR
  21. 21. Cluster analysis of fAPAR anomalies space and time synthesis combine start/duration/intensity/extension of an anomaly along the season focus on land use (here “agriculture”) Mean 1999-2012 2013 above + 1 2 3 4 5 - 2013 below Class with a significant negative anomaly: -20% below mean during more than one month
  22. 22. GRAPH analysis protocols 1 Period / 1 Year N Periods / 1 Year Impact anomalies analysis ANOMALIES VALUE MAY JUNE JULY AUGUST SEPTEMBER OCTOBER 1 11 21 1 11 21 1 11 21 1 11 21 1 11 21 1 11 21 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 NDVI RFE INTENSITY Impact anomalies analysis %DIF NDVI
  23. 23. fAPAR profil evolution  per statistics region and per land use (agriculture)
  24. 24. fAPAR profil evolution  per district and per land use (agriculture)
  25. 25. NDVI profil evolution  to analyse late/early start and higer/lower vegetation  by comparing 2013 with average/min/max GOOD DEVELOPMENT BELOW AVERAGE PASTURE AGRICULTURE
  26. 26. Seasonal fAPAR evolution over the all historical series  under implementation  per statistics region and per land use (agriculture)  comparison of on going season with all the historical years  identify late start, shortened season, lower/higher potential
  27. 27. Seasonal fAPAR anomalies IMPACT evolution  under implementation  per statistics region and per land use (agriculture)  calculate the agriculture areas affected by different anomalies classes along the season (here compared to mean) For ONE date (ex. 20130911) For the season (ex.20130501 to 20130911) km2
  28. 28. Conclusion •Copernicus Global Land service is operational –Since 2013 … EC budget available till at least 2020 –Sustainable ‘daily’ delivery of NRT global products at ‘1km’ •13 global bio-geophysical variables •Linked to consistent time series •Continuous quality monitoring •Continuous evolution –In cooperation with FP7/H2020 projects –Introduce back-up sensor •Based METOP-AVHRR (sustain deliveries) –Increase Spatial resolution 1km -> 300m •2014: vegetation variables over Europe •2015: more variables over Globe –Exploit new capabilities from sensors •2015 (tbc) SWI@1km: Metop ASCAT + Sentinel-1 •2016(tbc): add Sentinel-3 (1km / 300m), +PROBA-V -> S3A+B •(tbc): Daily Global at 100m –Add new products •E.g. Phenology, Snow, Water Level, Vegetation Counter, …. –Add hot-spot monitoring •Sentinel-2 based, e.g. 30m FAPAR
  29. 29. Coordinator: Bruno Smets – VITO S&T contact: Roselyne Lacaze – HYGEOS Website: Helpdesk: Contract Management: Michael Cherlet – JRC Global Land consortium Associates 29 Contact
  30. 30. Interesting online applications Time series viewer (VITO) •Visualisation of Copernicus NDVI, fAPAR & CHIRPS rainfall data •Prototype online: Agricultural Stress Index System (VITO/FAO) •Added value products derived from METOP NDVI/BT4 imagery & ECMWF/FEWS NET RFE rainfall data •Maps & graphs online at:
  31. 31. Copernicus Global Land Service 31
  32. 32. Copernicus Global Land Service 32
  33. 33. Copernicus Global Land Service 33
  34. 34. Copernicus Global Land Service 34
  35. 35. 333 meter PROBA-V image Budapest region Copernicus Global Land Service 35 330 meter PROBA-V RGB image – Budapest region S1 – 23th of May 2014