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ESA CCI-LC | Slide 1
ESA UNCLASSIFIED – For Official Use
ESA CCI-LC | Slide 2
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverObjectives & 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 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).
ESA CCI-LC | Slide 3
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverClassification 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 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 4
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverClassification Chain
Classification chain organized into 5 steps
ESA CCI-LC | Slide 5
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverA new generation of satellite-derived global LC products
ESA CCI-LC | Slide 6
ESA UNCLASSIFIED – For Official Use
Satellite Instrument1980
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1990
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1995
1996
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1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
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2015
2016
2017
ENVISAT MERIS
SENTINEL-3 OLCI
PROBA-V VEGETATION-3
SPOT-4 VEGETATION
SPOT-5 VEGETATION-2
NOAA AVHRR
MODIS* Terra
CCI-LC Maps - Phase I & II Input data
CCI-LC Regional Maps - HR Prototype Input data for Africa
ESA
Europe
2000
TPM
1980
1990
Satellite Instrument2010
2011
2012
2013
2014
2015
2016
2017
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SENTINEL-2 MSI
LANDSAT-8 OLI
ESA
TPM
CCI - Land CoverInput Data
2005
2010
ESA Satellites
European Satellites
TPM Satellites
Phase I - Input data
Phase II - Input data
Legend
2015
* MODIS time series could be used as gap fillers over the 2015’s.
ESA CCI-LC | Slide 7
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverPhase 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
ESA CCI-LC | Slide 8
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
Nu
mber
of
uniq
ue IP-
Addre
sses
Complete ESA GlobCover products download
ESA CCI-LC | Slide 9
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 10
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 11
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 12
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 13
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 14
ESA UNCLASSIFIED – For Official Use
ESA GlobCover ProjectResults and Achievements
ESA CCI-LC | Slide 15
ESA UNCLASSIFIED – For Official Use
CCI - Land CoverDownload Statistics
ESA CCI-LC | Slide 16
ESA UNCLASSIFIED – For Official Use
CCI - Land Cover2010 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 GlobCover 2005 CCI-LC 2010
Google Earth GlobCover 2005 CCI-LC 2010
ESA CCI-LC | Slide 17
ESA UNCLASSIFIED – For Official Use
CCI Land Cover Project Website http://www.esa-landcover-cci.org
CCI-LC Data Package http://maps.elie.ucl.ac.be/CCI/viewer
CCI - Land CoverFreely & easily visualize and download CCI-LC data package
