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 70-3714526erik.willen@metria.sewww.metria.se

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 21tobias.edman@metria.sewww.metria.se

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