Upload
deana
View
115
Download
1
Tags:
Embed Size (px)
DESCRIPTION
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 Renato Cumani & John Latham Land and Water Division (NRL ). - PowerPoint PPT Presentation
Citation preview
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR) FAO Land Cover Mapping methodology,
tools and standards&
GLC–SHARE database
Renato Cumani & John LathamLand and Water Division (NRL)
International Symposium on Land Cover Mapping for the African
ContinentJune 25-27, 2013
UNEP HQ & RCMRD, Nairobi, Kenya
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Main activities of the organization Putting information within reach Sharing policy expertise Providing a meeting place for nations Bringing knowledge to the field
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
FAO Global Land Cover Network (GLCN)Main Objectives:
To improve linkages between global, 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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
FAO GLCN Core activities Establish global network 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 multi-date landsat imagery
Sudan
• Nepal
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Standards and Classification SystemLCCS / LCML / ISO 19144-2:2012LCCS: 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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
LCCS databasesGlobal 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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
LCCS databasesGlobCover ~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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
FAO Land Cover Mapping Toolbox
ACCURACYANALISYS
MULTI USER DATA BASEBROWSER
THEMATIC & CART. ASPECT
INTERPRETATIONEFFICIENCY
Land
cover
class.
Syst.
Map
Acc.
Prog.
Advanc.
Database
GATEW.DAT
A B
AS E
DATA PRODUCERS DATA USERS
Standards and Tools
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
LCCS 2: 2001 (use LCCS)
LCCS 3: 2013 (use LCML/UML)
ADG 2: 2003 ADG 3: 2013
ADG 3 for ArcGIS 10.x: 2013
Standards and Tools
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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
Mapping Device – Change Analysis Tools (MADCAT)
Standards and Tools
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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
FAO’s Land Cover Mapping in Africa
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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:
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, Kenya, Rwanda, Somalia, Sudan,
Tanzania and Uganda.
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Fouta Djallon AOI: ca. 400,000 Km2
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 change
AG NVH NVS NVT URB WAT0
2000400060008000
100001200014000 1990
2008
Fouta Djallon Highlands land cover changes
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Malawi Land Cover change database (1990’s-2010’s)
From other to cropland (square blue) and vice versa (circle orange)
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Primary datasets: Landsat 30m (~2000, ~2005-2007 )
Spot4 imagery
2009-2010, 2.5-5m, 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)
Sudan Land Cover
ATLAS of Sudan Digital ATLAS (DVD) Posters Skin Implemented in Sudan Capacity to undertake land cover
assessments
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Primary: Landsat ETM imagery
(GLS), 30m res., false color. • 2000 circa• 2005-2007
Spot4 imagery• 2006-2008, 10-20 m
res., true color.
Ancillary Google Earth high resolution
imagery Africover datasets
Land Cover Map of South Sudan
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
55 land cover classes
Landsat 1990’s and 2005’s
Completed in Senegal with involvement of national exerts
Senegal Land Cover Change: 2005
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Libya Land Cover database Landsat ETM+ imagery
2001’s and 2002’s 88 landsat scenes in total
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
ECO–NET Africa Earth Cover Network Africa
Sample tiles at 10 by 10 Km at half degree
Very high resolution imagery (targeted 5m or better)
Detailed land cover mapping using LCML enriched with vegetation index(es) from remote sensing
About 9,000 sampling sites
Coordinated and supervised by FAO GLCN with engagement of national experts
BASIC OBJECTS PROPRERTIES CHARACTERISTICS
Herbaceous Cover 30 – 50 % Cultivated Rainfed 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
0.00
0.06
0.12
0.18
0.24
0.30
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35Dekad
NDVI
Ave
rage
0.00
0.02
0.04
0.06
0.08
0.10
NDVI
Sta
ndar
d De
viat
ion
AverageTotal St. Deviation
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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 wall-to-wall global, regional or national Land Cover mapping programmes
Africa Land Cover products
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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 sub-national, national, regional and global level) into one single harmonized database
It uses international standards: ISO TC 211 – 19144-2:2013 LMCL
GLC-SHARE database
Recommendation 19b.1: That the Land Cover Classification System (LCCS 3) developed by FAO should be adopted 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 systems.
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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
updateMethodology and datasets will be published in 2013
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
GLC-SHARE SEEA Legend
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
GLC-SHARE SEEA LCML Legend
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Coverage of land cover databases
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Processing Chain Multi-source and multi-resolution data fusion
through use of the land cover class elements and the LCML
Class confidence levels 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 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
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
GLC-Share Database
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Quality AssessmentUsed ~1,000 points (ArcGIS and Google Earth validation) Overall dominant class accuracy ~80%
Distribution of the validation points
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
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, including metadata,
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 such as GEO, CGIAR, JRC, IIASA
GLC-SHARE database
NAT
URA
L RE
SOU
RCES
DEP
ARTM
ENT
(NR)
Thank youContacts:
[email protected]@fao.org
FAO
Links:www.fao.org
www.fao.org/nr/gaezwww.fao.org/geonetwork
www.glcn.org