Liberia Forest Mapping. World Bank January 2012

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Dale Lamb
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1 Liberia Forest Mapping World Bank January 2012

2 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)

3 Products delivered by Metria AB, Sweden - Type of business - Maps and mapping, cadastral services, Earth observation data, geodata processing and analysis - Location - Sweden, 35 Offices, staff about 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

4 WB study May-October 2011 Map forest areas in NW Liberia Detailed forest mapping for 2010, 2007, 2002 Change detection Project outline

5 Project outline Two forest areas in northwestern 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

6 Landsat Imagery from 22 January 2010 Dense forest Open dense forest Open forest Bare soil Grass-/crop land

7 National level assessment and planning

8 Local level planning Regional and national level assessment

9 Local level classification 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

11 Harvestable areas with current road network

12 Analyses Forest resources close to rural communities Resources close to infrastructure Inaccessibility analysis Forest resources in no harvest areas Etc

16 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

19 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 Area Clearing 2007-2009 Re-growth 2007-2009 Clearing 2002-2007 "D" -0,28% 0,53% -0,15% "M" -0,35% 0,66% -0,29%

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

20 Land cover information Forest Area Clearing Re-growth Clearing "D" -0,28% 0,53% -0,15% "M" -0,35% 0,66% -0,29% Accessible forest resources Land cover Slope < 30 % Slope > 30 % Sum Urban Areas Isolated Rural Villages Bare soil sand and rocks Grassland Shrubs Forest Density > Producer accuracy User accuracy Particular domain Accuracy Agricultural domain Forested domain Overall

22 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

23 How much of Liberia is covered? Forest area 7000 square kilometers of forest, 20 % of according to Bayol have been mapped in this project Totally 10% Degraded and mixed area Agricultural area 1000 square kilometers of agricultural land, 3 % of have been mapped 0-30% forest in the present classification, 1550 square kilometers, represents 7 %, of the degraded and mixed forest classes, square kilometers

24 EO services gives input for Active Adaptive Management Integrate Policies Regulations Change Adaptation Earth Observation Services Plan Desired conditions Monitor Economic, social, environmental Implement Management activities

25 How to Continue 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 Metria and GeoVille Production environment adjusted (ready to start) Experienced staff giving high quality outcome Service delivery within 2012

26 Utility review

27 Contact information Erik Willén Department manager Metria AB PO Box 24154, SE Stockholm, Sweden Karlavägen 108 Phone: Mobile: Christian Hoffmann Managing Director GeoVille Information Systems GmbH Sparkassenplatz 2, 3rd floor, A Innsbruck, Austria Tel: Fax: Tobias Edman PhD Project Manager Metria AB PO Box 24154, SE Stockholm, Sweden Karlavägen 108 Phone: Mobile: [email protected] Jürgen Weichselbaum Technical Director GeoVille Information Systems GmbH Sparkassenplatz 2, 3rd floor, A Innsbruck, Austria Tel: Fax:

Methods for Monitoring Forest and Land Cover Changes and Unchanged Areas from Long Time Series

Methods for Monitoring Forest and Land Cover Changes and Unchanged Areas from Long Time Series Project using historical satellite data from SACCESS (Swedish National Satellite Data Archive) for developing