ESA CCILC Slide 1 ESA UNCLASSIFIED For Official

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

CCI - Land Cover Objectives & Description 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 GLC 2000, Glob. Cover 2005 and Glob. Cover 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). ESA CCI-LC | Slide 2 ESA UNCLASSIFIED – For Official Use

CCI - Land Cover Classification methodology Capitalize on and improve the Glob. Cover classification chain Glob. Cover 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 modellers Improvements: • • Major use of supervised (machine learning) classification algorithm Ensure consistency between successive LC maps through the use of several years of multispectral composites ESA CCI-LC | Slide 3 ESA UNCLASSIFIED – For Official Use

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

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

CCI - Land Cover Input Data CCI-LC Maps - Phase I & II Input data ESA Satellite Instrument ENVISAT MERIS SENTINEL-3 OLCI PROBA-V VEGETATION-3 SPOT-4 VEGETATION SPOT-5 VEGETATION-2 NOAA AVHRR MODIS* Terra 1 9 8 0 … … 1 9 9 0 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 1 9 9 0 1 9 8 0 Europe … … 2 0 0 1 2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1 2 0 1 2 2 0 1 0 TPM * MODIS time series could be used as gap fillers over the 2015’s. Legend CCI-LC Regional Maps - HR Prototype Input data for Africa ESA TPM Satellite Instrument SENTINEL-2 MSI ESA CCI-LC | Slide 6 2 0 1 0 ESA UNCLASSIFIED – For LANDSAT-8 OLIOfficial Use 2 0 1 1 2 0 1 2 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6 ESA Satellites 2 0 1 7 … … European Satellites TPM Satellites Phase I - Input data Phase II - Input data 2 0 1 3 2 0 1 4 2 0 1 5 2 0 1 6 2 0 1 7

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

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

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

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

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

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

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

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

CCI - Land Cover Download Statistics ESA CCI-LC | Slide 15 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 Earth Glob. Cover 2005 CCI-LC 2010 ESA CCI-LC | Slide 16 ESA UNCLASSIFIED – For Official Use

CCI - Land Cover Freely & easily visualize and download CCI-LC data package CCI-LC Data Package http: //maps. elie. ucl. ac. be/CCI/viewer CCI Land Cover Project Website http: //www. esa-landcover-cci. org ESA CCI-LC | Slide 17 ESA UNCLASSIFIED – For Official Use