International Symposium on Land Cover Mapping for the African Continent June 25-27, 2013 UNEP HQ & RCMRD, Nairobi, Kenya FAO Land Cover Mapping methodology, tools and standards & GLC SHARE database R C i & J h L h Renato Cumani & John Latham Land and Water Division (NRL)
Content FAO Global Land Cover Network Standards for Land Cover mapping FAO Land Cover Mapping Toolbox African land cover databases Global Land Cover SHARE database Conclusions
Main activities of the organization Putting information within reach Sharing policy expertise Providing a meeting place for nations Bringing knowledge to the field OURCES AL RESO NATURA
DEPART TMENT ( Global Land Cover Network (GLCN) Main Objectives: (NR)FAO To improve linkages between global, l regional and national studies on land cover and the environment To improve standardization, homogenization, compatibility and efficiency of information provided by different applications To provide information that improves design and efficiency of sampling for validation of land cover products at global, regional and national levels. To increase use and sharing of remote sensing data and its derived datasets To provide comparable products at global, regional, and national and lower levels To undertake capacity development and institution strengthening to maximize benefits for developing countries To support operational development and use by national stakeholders of products emanating from the programme multi-date landsat imagery
DEPART TMENT ( GLCN Core activities Establish global network (NR)FAO Develop Land cover mapping methodology Standards development (LCCS/LCML) Land Cover Mapping Toolbox (LCCS/MadCat/ADG) Technical assistance to national experts for land cover mapping activities Preparation of guidelines, manuals, templates, workshops, technical papers, metadata Capacity building Awareness raising workshops, training resources and sessions Dissemination and outreach (FAO GeoNetwork and FAO GLCN website) Enable use of the land cover information Sudan Nepal multi-date landsat imagery
Standards and Tools Standards d and Classification System LCCS / LCML / ISO 19144-2:2012 LCCS: Comprehensive methodology for description, characterization, classification and comparison of most land cover features identified anywhere in the world, at any scale or level of detail: basis for comparative classification. (6 UN official languages) Created in response to a need for a harmonized and standardized collection and reporting on the status and trends of land cover
Standards and Tools LCCS databases Global Land Cover (GLC) 2000 1 km resolution The dataset was sponsored by members of the VEGETATION programme, including JRC. Each partner used the Land Cover Classification System (LCCS) produced by FAO and UNEP, which ensured that a standard legend was used across the globe
Standards and Tools LCCS databases GlobCover ~2006 300 m resolution The GlobCover Land Cover product is based on ENVISAT MERIS data at full resolution from January 2005 to June 2006. The GlobCover Land Cover product is labelled according to the UN Land Cover Classification System
Standards and Tools FAO Land Cover Mapping Toolbox THEMATIC & CART. ASPECT INTERPRETATION EFFICIENCY ACCURACY ANALISYS MULTI USER DATA BASE BROWSER Land Map A cover class. Syst. DATA PRODUCERS Acc. Prog. Advanc. Database GATEW. DATA USERS
Standards and Tools LCCS 2: 2001 LCCS 3: 2013 (use LCCS) (use LCML/UML) ADG 2: 2003 ADG 3: 2013 ADG 3 for ArcGIS 10.x: 2013
Standards and Tools Mapping Device Change Analysis Tools (MADCAT) Application designed by FAO Uses object base classification Current version Release June 2013 Wizard driven installation Implemented using.net Framework Coding with LCCS2 and LCCS3 Requires Windows XP / Vista / 7 /8 (32 and 64 bit) Free to use for FAO programmes One time activation needed: Institution, User Name, Address, PC CODE send request by email
Africa Land Cover products FAO s Land Cover Mapping in Africa Country scale (30m or better resolution) on going ECONET Ethiopia 2012 Fouta Djallon Highlands Malawi 2011 Sudan 2010 South Sudan Tunisia Kenya Update 2007 Somalia 2006 Kenya LCC 2005 Senegal 2004 Libya 1998-2002 AFRICOVER
Africa Land Cover products GLCN/AFRICOVER: East Africa Module Project facts: Mapped area: 8.5 million Km2 Countries covered: 10 Landsat Scenes used: more than 400 Period of activity: i 1998-2004 Result: Multipurpose Africover Database for the Environmental Resources produced at a 1:200,000 scale (1:100,000 for small countries and specific areas) Development of a regional database and regional aggregation Burundi DR Congo Egypt Eritrea Burundi, DR Congo, Egypt, Eritrea, Kenya, Rwanda, Somalia, Sudan, Tanzania and Uganda.
Africa Land Cover products Fouta Djallon Highlands land cover change Fouta Djallon AOI: ca. 400,000000 Km 2 5 Countries within the AOI: Guinea, Guinea-Bissau, Mali, Senegal, Sierra Leone LANDSAT coverage (30m res) 1990-2005 ASTER coverage (17 m res) 2008-2011 RapidEye coverage (5 m res) ~2005 Fouta Djallon Highlands land cover changes 14000 1990 13000 12000 11000 2008 10000 9000 8000 7000 6000 5000 4000 3000 2000 1000 0 AG NVH NVS NVT URB WAT
Africa Land Cover products Malawi Land Cover change database (1990 s-2010 s) From other to cropland (square blue) and vice versa (circle orange)
Africa Land Cover products Sudan Land Cover Primary datasets: Landsat 30m (~2000, ~2005-2007 ) Spot4 imagery 2009-2010, 2010, 2.5-5m, 5m, 10-20 m res IRS 2007, 15-22m res Aster 2005-2010,15 m res. Ancillary: Googe Earth high resolution imagery Africover dataset (dated 1999-2000) ATLAS of Sudan Digital ATLAS (DVD) Posters Skin Implemented in Sudan Capacity to undertake land cover assessments
Africa Land Cover products Land Cover Map of South Sudan Primary: Landsat ETM imagery (GLS), 30m res., false color. 2000 circa 2005-2007 Spot4 imagery 2006-2008, 2008 10-20 m res., true color. Ancillary Google Earth high resolution imagery Africover datasets
Africa Land Cover products Senegal Land Cover Change: 2005 55 land cover classes Landsat 1990 s and 2005 s Completed in Senegal with involvement of national exerts OURCES AL RESO NATURA
Africa Land Cover products Libya Land Cover database Landsat ETM+ imagery 2001 s and 2002 s 88 landsat scenes in total OURCES AL RESO NATURA
Africa Land Cover products ECO NET Africa Earth Cover Network Africa Sample tiles at 10 by 10 Km at half degree Very high resolution Herbaceous Cover 30 50 % Cultivated imagery (targeted 5m or Rainfed better) Detailed land cover mapping using LCML enriched with vegetation index(es) from remote sensing About 9,000 sampling sites Coordinated d and supervised by FAO GLCN with engagement of national 0.30 experts 024 0.24 BASIC OBJECTS PROPRERTIES CHARACTERISTICS Field size 1 ha Tree Cover 1-3 % Natural Eight 5-8 m. Disposition: irregular Leaf type: Broadleaf Leaf type % 100 Scrub Cover 2 4 % Natural Eight 1 3 m. Disposition: irregular Leaf type: Broadleaf Leaf type % 100 NDVI Average 0.18 0.12 0.06 0.00 Average Total St. Deviation 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 Dekad 0.10 008 0.08 0.06 0.04 0.02 NDVI Standard Deviatio on 0.00
Africa Land Cover products ECONET Outcomes Create a database with extremely detailed information, global or regional, comparable and continually updated in support of a wide range of activities. Serve as multi-statistical source of information at any level of detail or complexity. Using specific software on the Web, any end users worldwide will be able to define a geographical area and the categories for which area statistics will be generated. Provide the most consistent, detailed and dynamic test site for calibration and/or accuracy assessment of any future wallto-wall global, regional or national Land Cover mapping programmes
GLC-SHARE database GLC-SHARE approach FAO System of Environmental Economic Accounts (SEEA) London Group process Global Consultations, interviews, comments, questions, recommendation A significant step in improving the information accuracy of global land cover database It integrates the best land cover data available (at subnational, national, regional and global level) into one single harmonized database It uses international standards: ISO TC 211 19144-2:2013 LMCL systems. Recommendation 19b.1: That the Land Cover Classification System (LCCS 3) developed by FAO should be adopted d as the land cover classification system in the revised SEEA and that the LCML (ISO 19144-2) should be adopted at the methodology for linking to external sources of land cover data described in other land cover
GLC-SHARE database GLC-SHARE design principles Use existing available land cover databases at national, regional and global level; Use the best available spatio-temporal land cover databases; Use the land cover legend prepared by SEEA and FAO based on the Land Cover Meta-Language; Make use of the harmonization of the land cover elements addressing semantic requirements; Use data fusion technology; Progressively update the database getting input from the community of users and include additional datasets as they become available.
GLC-SHARE database GLC-SHARE: fact-sheet Uses the FAO SEEA LCML(*) legend 30 arc-second pixel resolution 11+1 layers indicating the % share of each class Dominant land cover layer and quality score Overall class accuracy ~80% Designed as a platform to facilitate crowd-sourcing Compatible with FAOSTAT classification Designed to be used for GAEZ 2010 update Methodology and datasets will be published in 2013
GLC-SHARE SEEA Legend GLC-SHARE database NATURAL RESOURCES DEPARTMENT (NR)
GLC-SHARE SEEA LCML Legend GLC-SHARE database NATURAL RESOURCES DEPARTMENT (NR)
GLC-SHARE database Coverage of land cover databases NATURAL RESOURCES DEPARTMENT (NR)
GLC-SHARE database Processing Chain Multi-source and multi-resolution data fusion through use of the land cover class elements and the LCML Class confidence levels l used in the processing chain to use the optimal spatio-temporal information at pixel level Per product and per class rating assigned by technical experts (experts opinion) Outputs t include 11 rasters at 30 arc-second, 1 dominant land cover dataset, 1 quality indicator dataset including source date, resolution, sensor and confidence level per pixel, metadata, and technical paper
GLC-SHARE database GLC-Share Database NATURAL RESOURCES DEPARTMENT (NR)
GLC-SHARE database Quality Assessment Used ~1,000 points (ArcGIS and Google Earth validation) Overall dominant class accuracy ~80% Distribution of the validation points
GLC-SHARE database NATURAL RESOURCES DEPARTMENT (NR)
GLC-SHARE database GLC-SHARE Summary GCL-SHARE is the first global database created using the ISO standard for land cover classification ISO TC 211 19144-2 LMCL (Land Cover Meta Language) and is designed to be improved over time GLC-SHARE will be used for GAEZ 2010 update GLC-SHARE will be used to update Land Use Systems 2010 (FAO) Planned to be made publicly available for comments and feedback by end of 2013 Fully documented, d including metadata, t LCML/LCCS3 legend Update of the beta release with new available datasets including the global coverage of Landsat 30 meter and new national land cover datasets Maintained by FAO and community of practice partners y y p p such as GEO, CGIAR, JRC, IIASA
Thank you Contacts: renato.cumani@fao.org john.latham@fao.org FAO Links: www.fao.org www.fao.org/nr/gaez www.fao.org/geonetwork www.glcn.org