1. ESA CCI-LC | Slide 1 ESA UNCLASSIFIED – For Official Use

2. ESA CCI-LC | Slide 2 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Objectives & Description GCOSClimate Change Initiative Land Cover Following the GCOS Implementation Plan, the purpose of the Climate Change Initiative Land Cover project is to make the best use of available satellite sensor data in order to provide an accurate land cover classification that can serve the climate modeling community. The involvement of the climate research community (Met Office, MPI-M and LSCE) as users is a cornerstone of this CCI Land Cover project and, in order to meet their requirement set in this project, the CCI Land Cover maps propose a legend based on the FAO/UNEP Land Cover Classification System (LCCS) with the view to be as much as possible compatible with the GLC2000, GlobCover 2005 and GlobCover 2009 products. These maps were produced using a multi-year and multi-sensor strategy in order to make use of all suitable data and maximize product accuracy. The entire 2003-2012 MERIS Full and Reduced Resolution archive was used as input by UCL-Geomatics to generate a 10- year 2003-2012 global land cover map. This 10-year product has then served as baseline to derive the 2010, 2005 and 2000 maps using back-dating techniques with MERIS and SPOT-Vegetation time series specific to each epoch. The validation of the CCI Land Cover products has been performed by regional experts coordinated by the European Commission Joint Research Centre (JRC).

3. ESA CCI-LC | Slide 3 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Classification methodology Capitalize on and improve the GlobCover classification chain GlobCover principles: Regionally-tuned approach based on 22 equal-reasoning areas Unsupervised classification algorithm (supervised for specific minor classes) Typology defined using FAO LCCS to be in line with existing products and compatible with the Plant Functional Types (PFTs) as described by modellersImprovements: Major use of supervised (machine learning) classification algorithm Ensure consistency between successive LC maps through the use of several years of multispectral composites

4. ESA CCI-LC | Slide 4 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Classification Chain Classification chain organized into 5 steps

5. ESA CCI-LC | Slide 5 ESA UNCLASSIFIED – For Official Use CCI - Land Cover A new generation of satellite-derived global LC products

6. ESA CCI-LC | Slide 6 ESA UNCLASSIFIED – For Official Use SatelliteInstrument 19801980 …………………… 19901990 …………………… 19951995 19961996 19971997 19981998 19991999 20002000 20012001 20022002 20032003 20042004 20052005 20062006 20072007 20082008 20092009 20102010 20112011 20122012 20132013 20142014 20152015 20162016 20172017 ENVISATMERIS SENTINEL-3OLCI PROBA-VVEGETATION-3 SPOT-4VEGETATION SPOT-5VEGETATION-2 NOAAAVHRR MODIS*Terra CCI-LC Maps - Phase I & II Input data CCI-LC Regional Maps - HR Prototype Input data for Africa ESA Europe 20002000 TPM 19801980 19901990 SatelliteInstrument 20102010 20112011 20122012 20132013 20142014 20152015 20162016 20172017 …………………… SENTINEL-2MSI LANDSAT-8OLI ESA TPM CCI - Land Cover Input Data 20052005 20102010 ESA Satellites European Satellites TPM Satellites Phase I - Input data Phase II - Input data Legend 20152015 * MODIS time series could be used as gap fillers over the 2015’s.

7. ESA CCI-LC | Slide 7 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Phase II - Key Products Improvement of algorithms developed in Phase I for: pre-processing LC condition products Global LC Maps Water Bodies classification (300 m and 150 m spatial resolution) Improve the Phase 1 (2011-2014) achievements in terms of products, systems and validation Development of new algorithms for a global LC map extending the products backwards to the 1980s from AVHRR and onwards till 2015 using Sentinel-3 and Proba-V synergy Prototyping a regional high-resolution LC map from Sentinel-2 supplemented by Landsat 8 datasets Providing dynamic information about Water Bodies and round-robin for the urban extraction from Sentinel- 1 data Extend the climate impact assessment of a better land surface description for climate modeling

8. ESA CCI-LC | Slide 8 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements Number of unique IP-Addresses Complete ESA GlobCover products download

9. ESA CCI-LC | Slide 9 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

10. ESA CCI-LC | Slide 10 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

11. ESA CCI-LC | Slide 11 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

12. ESA CCI-LC | Slide 12 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

13. ESA CCI-LC | Slide 13 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

14. ESA CCI-LC | Slide 14 ESA UNCLASSIFIED – For Official Use ESA GlobCover Project Results and Achievements

15. ESA CCI-LC | Slide 15 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Download Statistics

16. ESA CCI-LC | Slide 16 ESA UNCLASSIFIED – For Official Use CCI - Land Cover 2010 Epoch - Amazon The improved algorithms and multi-year approach allow for a more stable signal and hence, best discrimination of landscape features, deforestation patterns and wetlands Google EarthGlobCover 2005 CCI-LC 2010 Google Earth GlobCover 2005 CCI-LC 2010

17. ESA CCI-LC | Slide 17 ESA UNCLASSIFIED – For Official Use CCI - Land Cover Freely & easily visualize and download CCI-LC data package