Liberia Forest Mapping - World Banksiteresources.worldbank.org/EXTEOFD/Resources/8426770... ·...
27
Liberia Forest Mapping World Bank January 2012
Transcript of Liberia Forest Mapping - World Banksiteresources.worldbank.org/EXTEOFD/Resources/8426770... ·...
Liberia Forest Mapping
World BankJanuary 2012
Scope of presentation
1. Overview (5 min)
2. Service presentation (20 min)
3. Operational scenario (10min)
4. Service Utility Review (45 min)
5. Wrap-up and outlook (10)
Products delivered by
Metria AB, Sweden
- Type of business- Maps and mapping, cadastral services,
Earth observation data, geodataprocessing and analysis
- Location- Sweden, 35 Offices, staff about 300
- Operational service provider– Land cover mapping and monitoring – Specialised in forestry applications – Provider of nationwide forest mapping
and monitoring services since 10 years– Experienced in Earth Observation data
since more than 30 years- Clients
- Environmental and forestry agencies, forest companies
GeoVille GmbH, Austria
- Type of business- Earth observation and Geographic
Information (GI) System applications
- Company locations- Austria & Luxembourg
- Operations- In business since 1998 with projects in
over 70 countries - Clients
- Public: International Organizations, National & Regional Governments, Federal Institutes and Research Centers
- Private: Financial & market research, telecommunication, transport and infrastructure
- Quality assurance- ISO certified 9001:2008
Project outline
WB study May-October 2011• Map forest areas in NW Liberia• Detailed forest mapping for 2010, 2007,
2002• Change detection
• Two forest areas in north-western Liberia– D -Gbarpolu
– M -Gbarpolu & Grand Cape Mount
• Land Cover Classification
• Forest cover Mapping– Density
– Change
• DEM generation
• Decision support– Harvestable area
– Remote areas
– Untouched areas
– Etc.
• Monitoring background
• Benchmark
Project outline
Landsat Imagery from 22 January 2010
Dense forest
Open forest
Grass-/crop land
Bare soil
Open dense forest
National level assessment and planning
Local level planning
Regional and national level assessment
• Forest resource planning at local level
• Forest resource assessment at regional and national level
• Benchmark for conservation areas and local level change detection
• Agricultural land assessment
Local level classification
Harvestable areas with current road network
Analyses
• Forest resources close to rural communities
• Resources close to infrastructure
• Inaccessibility analysis
• Forest resources in no harvest areas
• Etc…
Change detection
• High accuracy
• Available over large areas
• Mostly taking place in degraded or rotated forest areas
• Highlight the need to separate the “agricultural forest” from the high forest
Digital Elevation Model
• Slope calculations– Non harvestable areas
– Terrain constraints
• Watershed calculations
• Ortho rectification of satellite imagery
• Preliminary road planning
• Land slide Hazard areas
Land cover information
Forest AreaClearing
2007-2009Re-growth2007-2009
Clearing2002-2007
"D" -0,28% 0,53% -0,15%"M" -0,35% 0,66% -0,29%
Land cover Slope < 30 % Slope > 30 % Sum
Urban Areas 100 0 99
Isolated Rural Villages 35 0 34
Bare soil sand and rocks 1950 45 1990
Grassland 4825 75 4900
Shrubs 8335 190 8520
Forest Density 0-30 19510 1320 20830
30-80 35890 1220 37110
>80 38345 2490 40835
Accessible forest resources
Accuracy
Particulardomain
Agricultural domain
Forested domain
Overall
Producer accuracy
1 0.96 0.94 0.95
User accuracy
0.83 0.95 0.97 0.95
Conclusions
• Products suitable for local level planning and regional statistics
• Benchmark for forest monitoring
• Large areas with low impact from forestry activities
• ~10 % available by current infrastructure
• Most forest cover changes in “agricultural forest” close to settlements
• <10 % in areas with a slope over 30 %
• 17 % of the forest area is 0-30 % crown cover and are predominantly part of the agricultural rotation
How much of Liberia is covered?
Forest area
• 7000 square kilometers offorest, 20 % of 34400 according to Bayol havebeen mapped in this project
Agricultural area
• 1000 square kilometers ofagricultural land, 3 % of34800 have been mapped
• 0-30% forest in the present classification, 1550 square kilometers, represents 7 %, of the degraded and mixed forest classes, 22600 square kilometers
Degraded and mixed area
Totally10%
Earth
Observation
Services
EO services gives input for Active Adaptive Management
Integrate
•Policies
•Regulations
Plan
•Desiredconditions
Implement
•Management activities
Monitor
•Economic, social, environmental
Change
•Adaptation
How to ContinueMetria and GeoVille
• Production environment adjusted (ready to start)
• Experienced staff giving high quality outcome
• Service delivery within 2012
World Bank and FDA
• National Forest Inventory– The NFI is essential for classification
• Ground data
• Accuracy assessment
• Volume estimates
– The NFI will benefit from the classification
• Stratification of samples
• Extrapolation (e.g. volume estimates)
– Capacity building
• Forest monitoring– Forest cover benchmark
– High resolution change detection
– Enhanced forest management
Utility review
Contact informationErik WillénDepartment manager
Metria ABPO Box 24154, SE-104 51 Stockholm, SwedenKarlavägen 108Phone: +46 10-121 85 26 Mobile: +46 [email protected]
Christian HoffmannManaging Director
GeoVille Information Systems GmbHSparkassenplatz 2, 3rd floor, A - 6020 Innsbruck, AustriaTel: +43 512-562021-18 Fax: +43 512-562021-22www.geoville.com
Tobias Edman PhD
Project Manager
Metria ABPO Box 24154, SE-104 51 Stockholm, SwedenKarlavägen 108Phone: +46 10 - 121 85 04 Mobile: +46 703-71 33 [email protected]
Jürgen WeichselbaumTechnical Director
GeoVille Information Systems GmbH Sparkassenplatz 2, 3rd floor, A - 6020 Innsbruck, AustriaTel: +43512-562021-17 Fax: +43512-562021-22 www.geoville.com
